Skip to main content

GEO-CAPE Documents

Closeout Documents

Science Traceability Matrices

Planning Documents


GEO-CAPE Publications

list revision date: 12/14/2020

Ackleson, S. G., J.
P. Smith, L. M. Rodriguez, W. J. Moses and B. J. Russell “Autonomous Coral
Reef Survey in Support of Remote Sensing.” Frontiers in Marine Science
4: 325. 10.3389/fmars.2017.00325. (2017).

J. C., J. Wang, J. Zeng, G. Leptoukh, M. Petrenko, C. Ichoku and C. Hu
“Long-term Statistical Assessment of Aqua-MODIS Aerosol Optical Depth over
Coastal Regions: Bias Characteristics and Uncertainty Sources.” Tellus
65: 20805. (2013).

R., S. Ladner, G. Fargion, P. Martinolich, R. Vandermeulen, J. Bowers and A.
Lawson “Monitoring bio-optical processes using NPP-VIIRS and MODIS-Aqua
ocean color products.” SPIE 8724, Ocean Sensing and Monitoring V:
87240 Q. (2013).

R., R. Vandermeulen, A. Ignatov and J.-F. Cayula Seasonal trends of ACSPO
VIIRS SST product characterized by the differences in orbital overlaps for
various waters types
. SPIE Ocean Sensing and Monitoring VII Baltimore.

R., R. Vandermuelen, I. Soto, S. D. Ladner, M. Ondrusek and H. Yang
“Diurnal changes in ocean color sensed in satellite imagery.” Journal
of Applied Remote Sensing
11 (3): 032406. doi:10.1117/1.jrs.11.032406.

D., A. Mannino and B. Franz “Spatially resolving ocean color and sediment
dispersion in river plumes, coastal systems, and continental shelf
waters.” Remote Sensing of Environment 137: 212-225. (2013).

B. B., R. Garcia, C. Hu and Z. Lee “Multi-band spectral matching inversion
algorithm to derive water column properties in optically shallow waters: An
optimization of parameterization.” Remote Sensing of Environment 204:
424-438. 10.1016/j.rse.2017.10.013. (2018).

B. B. and C. Hu “Cross-sensor continuity of satellite-derived water
clarity in the Gulf of Mexico: Insights into temporal aliasing and implications
for long-term water clarity assessment.” IEEE Trans. Geosci. &
Remote Sens.
53: 1761-1772. (2015).

B. B. and C. Hu “Dependence of satellite ocean color data products on
viewing angles: A comparison between SeaWiFS, MODIS, and VIIRS.” Remote
Sens. Environ.
175: 120-129. (2016a).

10. Barnes, B. B. and C.
Hu “Island building in the South China Sea: detection of turbidity plumes
and artificial islands using Landsat and MODIS data.” Sci. Rep 6:
33194. doi: 10.1038/srep33194. (2016b).

11. Barnes, B. B., C. Hu,
J. P. Cannizzaro, S. E. Craig, P. Hallock, D. Jones, J. C. Lehrter, N. Melo, B.
A. Schaeffer and R. Zepp “Estimation of diffuse attenuation of ultraviolet
light in optically shallow Florida Keys waters from MODIS measurements.” Remote
Sens. Environ.
140: 519-532. (2014).

12. Barnes, B. B., C. Hu,
C. Kovach and R. N. Silverstein ” Sediment plumes induced by the Port of
Miami dredging: Analysis and interpretation using Landsat and MODIS data.
.” Remote Sens. Environ. 170: 328-339.
10.1016/j.rse.2015.09.023. (2015).

13. Barnes, B. B., C. Hu,
B. A. Schaeffer, Z. Lee, D. A. Palandro and J. C. Lehrter “MODIS-derived
spatiotemporal water clarity patterns in optically shallow Florida Keys waters:
a new approach to remove bottom contamination.” Remote Sens. Environ.
134: 377-391. (2013).

14. Barré, J., D. Edwards,
H. Worden, A. D. Silva and W. Lahoz “On the feasibility of monitoring
carbon monoxide in the lower troposphere from a constellation of Northern
Hemisphere geostationary satellites. (Part 1).” Atmospheric Environment
113: 63-77. 10.1016/j.atmosenv.2015.04.069. (2015).

15. Barré, J., D. P.
Edwards, H. M. Worden, A. Arellano, B. Gaubert, A. D. Silva, W. Lahoz and J. L.
Anderson “On the feasibility of monitoring carbon monoxide in the lower
troposphere from a constellation of northern hemisphere geostationary
satellites: Global scale assimilation experiments (Part II).” Atmos.
140: 188-201. 10.1016/j.atmosenv.2016.06.001. (2016).

16. Bash, J. O., J. T.
Walker, M. W. Shephard, K. E. Cady-Pereira, D. K. Henze, D. Schwede, L. Zhu and
E. J. Cooter “Modeling Reactive Nitrogen in North America: Recent
Developments, Observational Needs, and Future Directions.” EM September
2015 (Issue): 36-42. (2015).

17. Bousserez, N. and D.
K. Henze “Optimal and scalable methods to approximate the solutions of
scale Bayesian
problems: theory and application to atmospheric inversion and data
assimilation.” Q.J.R. Meteorol. Soc. 144 (711): 365-390.
doi:10.1002/qj.3209. (2018).

18. Bousserez, N., D. K.
Henze, B. Rooney, A. Perkins, K. J. Wecht, A. J. Turner, V. Natraj and J. R.
Worden “Constraints on methane emissions in North America from future
geostationary remote sensing measurements.” Atmos. Chem. Phys. 16:
6175-6190. 10.5194/acp-16-6175-2016. (2016).

19. Bowman, K. W.
“Toward the next generation air quality monitoring: Ozone.” Atmospheric
80: 571-583. 10.1016/j.atmosenv.2013.07.007. (2013).

20. Boynard, A., G. G.
Pfister and D. P. Edwards “Boundary layer versus free tropospheric CO
budget and variability over the United States during summertime.” J.
Geophys. Res.
117: D04306. (2012).

21. Cannizzaro, J. P., P.
R. C. Jr., L. A. Yarbro and C. Hu “Optical variability along a river plume
gradient: Implications for management and remote sensing.” Estuarine,
Coastal and Shelf Science
131: 149-161. 10.1016/j.ecss.2013.07.012.

22. Cao, F., M.
Tzortziou, C. Hu, A. Mannino, C. G. Fichot, R. D. Vecchio, R. G. Najjar and M.
Novak “Remote sensing retrievals of colored dissolved organic matter and
dissolved organic carbon dynamics in North American estuaries and their
margins.” Remote Sens. Environ. 205: 151-165.
10.1016/j.rse.2017.11.014. (2018).

23. Carr, J., X. Liu, B.
Baker and K. Chance “Observing nightlights from space with TEMPO.” International
Journal of Sustainable Lighting
19: 26-35. (2017).

24. Chance, K.
“Sunwatching: Human Footprints on Earth and Sky.” American Indian 15
(Issue). (2014).

25. Chance, K.
Atmospherics and the Anthropocene. Living in the Anthropocene: Earth in the
Age of Humans
. J. W. Kress and J. K. Stine, Smithsonian Books. (2017).

26. Chance, K., X. Liu,
R. M. Suleiman, D. E. Flittner, J. Al-Saadi and S. J. Janz “Tropospheric
emissions: Monitoring of pollution (TEMPO).” Proc. SPIE 8866
(Earth Observing Systems XVIII, Paper 88660D). 10.1117/12.2024479. (2013).

27. Chance, K. and R. V.
Martin Spectroscopy and Radiative Transfer of Planetary Atmospheres,
Oxford University Press. (2017).

28. Chatfield, R. B. and
R. F. Esswein “Estimation of surface O3 from lower-troposphere
partial-column information: Vertical correlations and covariances in ozonesonde
profiles.” Atmospheric Environment 61: 103-113. (2012).

29. Chen, J., Z. Lee, C.
Hu and J. Wei “Improving SeaWiFS data products with a scheme to correct
the residual errors in remote sensing reflectance.” JGR-Oceans 121:
3866-3886. (2016a).

30. Chen, S. and C. Hu
“In search of oil seeps in the Cariaco basin using MODIS and MERIS
medium-resolution data ” Remote Sensing Letters 5: 442-450.
10.1080/2150704X.2014.917218. (2014).

31. Chen, S. and C. Hu
“Estimating sea surface salinity in the northern Gulf of Mexico from
satellite ocean color measurements.” Remote Sens. Environ. 201:
115-132. 10.1016/j.rse.2017.09.004. (2017).

32. Chen, S., C. Hu, R.
H. Byrne, L. L. Robbins and B. Yang “Remote estimation of surface pCO2 on
the West Florida Shelf.” Cont. Shelf. Res. 128: 10-25.
10.1016/j.csr.2016.09.004. (2016b).

33. Chen, S., C. Hu,
W.-J. Cai and B. Yang “Estimating surface pCO2 in the northern Gulf of
Mexico: Which remote sensing model to use?” Cont. Shelf Res. 151:
94-110. 10.1016/j.csr.2017.10.013. (2017).

34. Chen, Z., C. Hu, F.
E. Muller-Karger and M. Luther “Short-term variability of suspended
sediment and phytoplankton in Tampa Bay, Florida: Observations from a coastal
oceanographic tower and ocean color satellites.” Estuarine Coastal and
Shelf Science
89: 62-72. (2010).

35. Claeyman, M., J. L.
Attié, V. H. Peuch, L. El Amraoui, W. A. Lahoz, B. Josse, M. Joly, J. Barré, P.
Ricaud, S. Massart, A. Piacentini, T. von Clarmann, M. Höpfner, J. Orphal, J.
M. Flaud and D. P. Edwards “A thermal infrared instrument onboard a
geostationary platform for CO and O3 measurements in the lowermost troposphere:
Observing System Simulation Experiments (OSSE).” Atmos. Meas. Tech.
4 (8): 1637-1661. 10.5194/amt-4-1637-2011. (2011).

36. Cooper, M., R. V.
Martin, A. Padmanabhan and D. K. Henze “Comparing mass balance and adjoint
methods for inverse modeling of nitrogen dioxide columns for global nitrogen
oxide emissions.” J. Geophys. Res. Atmos. 122: 4718-4734.
10.1002/2016JD025985. (2017).

37. Crawford, J. H., B.
Pierce, R. Long, J. Szykman, J. Leitch, C. Nowlan, J. Herman, A. Weinheimer and
J. A. Al-Saadi “Multi-perspective observations of NO2 over the Denver area
during DISCOVER-AQ: Insights for future monitoring.” EM Magazine 66
(Issue). (2016).

38. Cusworth, D. H., D.
J. Jacob, J. X. Sheng, J. Benmergui, A. J. Turner, J. Brandman, L. White and C.
A. Randles “Detecting high-emitting methane sources in oil/gas fields
using satellite observations.” Atmos. Chem. Phys. Discuss. 2018:
1-25. 10.5194/acp-2018-741. (2018).

39. Doxaran, D., N.
Lamquin, Y. Park, C. Mazeran, J. H. Ryu, M. Wang and A. Poteau “Retrieval
of the seawater reflectance for suspended solids monitoring in the East China
Sea using MODIS, MERIS and GOCI satellite data.” Remote Sens. Environ.
146: 36-48. 0.1016/j.rse.2013.06.020. (2013).

40. Edwards, D. P., A. F.
Arellano Jr. and M. N. Deeter “A satellite observation system simulation
experiment for carbon monoxide in the lowermost troposphere.” J.
Geophys. Res.
114: D14304. (2009).

41. Edwards, D. P., H. M.
Worden, D. Neil, G. Francis, T. Valle and A. F. Arellano Jr. “The CHRONOS
mission: Capability for sub-hourly synoptic observations of carbon monoxide and
methane to quantify emissions and transport of air pollution.” Atmos.
Meas. Tech.
11: 1061-1085. doi: 10.5194/amt-11-1061-2018. (2018).

42. Fan, Y., W. Li, C. K.
Gatebe, C. Jamet, G. Zibordi, T. Schroeder and K. Stamnes “Atmospheric
correction and aerosol retrieval over coastal waters using multilayer neural
networks.” Remote Sensing of the Environment 199: 218-240.

43. Fan, Y., W. Li, K. J.
Voss, C. K. Gatebe and K. Stamnes “Neural network method to correct
bidirectional effects in water-leaving radiance.” Applied Optics 55
(1): 10-21. (2016).

44. Feng, L. and C. Hu
“Cloud adjacency effects on top-of-atmosphere radiance and ocean color
data products: A statistical assessment.” Remote Sens. Environ. 174:
301-313. 10.1016/j.rse.2015.12.020. (2016a).

45. Feng, L. and C. Hu
“Comparison of Valid Ocean Observations Between MODIS Terra and Aqua Over
the Global Oceans.” IEEE Trans. Geosci. Remote Sensing 54:
1575-1585. (2016b).

46. Feng, L. and C. Hu
“Land adjacency effects on MODIS Aqua top-of-atmosphere radiance in the
shortwave infrared: Statistical assessment and correction.” J. Geophys.
Res. Oceans
122: 4802-4818. doi:10.1002/2017JC012874. (2017).

47. Feng, L., C. Hu, B.
Barnes, A. Mannino, A. K. Heidinger, K. Strabala and L. T. Iraci “Cloud
and Sun-glint statistics derived from GOES and MODIS observations over the
Intra-Americas Sea for GEO-CAPE mission planning.” J. Geophys. Res.
122. 10.1002/2016JD025372. (2016a).

48. Feng, S., T. Lauvaux,
S. Newman, P. Rao, R. Ahmadov, A. Deng, L. I. Díaz-Isaac, R. M. Duren, M. L.
Fischer, C. Gerbig, K. R. Gurney, J. Huang, S. Jeong, Z. Li, C. E. Miller, D.
O’Keeffe, R. Patarasuk, S. P. Sander, Y. Song, K. W. Wong and Y. L. Yung
“Los Angeles megacity: a high-resolution land-atmosphere modelling system
for urban CO2 emissions.” Atmos. Chem. Phys. 16 (14):
9019-9045. 10.5194/acp-16-9019-2016. (2016b).

49. Fioletov, V. E., C.
A. McLinden, N. Krotkov and C. Li “Lifetimes and emissions of SO2 from point
sources estimated from OMI.” Geophysical Research Letters 42
(6): 1969-1976. doi:10.1002/2015GL063148. (2015).

50. Fioletov, V. E., C.
A. McLinden, N. Krotkov, C. Li, J. Joiner, N. Theys, S. Carn and M. D. Moran
“A global catalogue of large SO2 sources and emissions derived from the
Ozone Monitoring Instrument.” Atmos. Chem. Phys. 16 (18):
11497-11519. 10.5194/acp-16-11497-2016. (2016).

51. Fioletov, V. E., C.
A. McLinden, N. Krotkov, M. D. Moran and K. Yang ” Estimation of SO2
emissions using OMI retrievals.” Geophys. Res. Lett. 38:
L21811. (2011).

52. Fishman, J., L. T.
Iraci, J. Al-Saadi, K. Chance, F. Chavez, M. Chin, P. Coble, C. Davis, P. M.
DiGiacomo, D. Edwards, A. Eldering, J. Goes, J. Herman, C. Hu, D. J. Jacob, C.
Jordan, S. R. Kawa, R. Key, X. Liu, S. Lohrenz, A. Mannino, V. Natraj, D. Neil,
J. Neu, M. Newchurch, K. Pickering, J. Salisbury, H. Sosik, A. Subramaniam, M.
Tzortziou, J. Wang and M. Wang “The United States’ Next Generation Of
Atmospheric Composition And Coastal Ecosystem Measurements: NASA’s
Geostationary Coastal and Air Pollution Events (GEO-CAPE) Mission.” Bulletin
of the American Meteorological Society
10.1175/bams-d-11-00201.1. (2012).

53. Fishman, J., M. L.
Silverman, J. H. Crawford and J. K. Creilson “A study of regional-scale variability
of in situ and model-generated tropospheric trace gases: Insights into
observational requirements for a satellite in geostationary orbit.” Atmospheric
45: 4682-4694. (2011).

54. Follette-Cook, M., K.
Pickering, J. Crawford, B. Duncan, C. Loughner, G. Diskin, A. Fried and A.
Weinheimer “Spatial and Temporal Variability of Trace Gas Columns Derived
from WRF/Chem Regional Model Output: Planning for Geostationary Observations of
Atmospheric Composition.” Atmos. Environ. 118: 28-44.

55. Fournier, S., B.
Chapron, J. Salisbury, D. Vandemark and N. Reul “Comparison of spaceborne
measurements of sea surface salinity and colored detrital matter in the Amazon
plume.” J. Geophys. Res. Oceans 120: 3177-3192.
10.1002/2014JC010109. (2015).

56. Frank, J., M. Do and
T. T. Tran Scheduling Ocean Color Observations for a GEO-Stationary
. Twenty-Sixth International Conference on Automated Planning and
Scheduling, London, Association for the Advancement of Artificial Intelligence.

57. Fu, D., T. J.
Pongetti, J.-F. L. Blavier, T. J. Crawford, K. S. Manatt, G. C. Toon, K. W.
Wong and S. P. Sander “Near-infrared remote sensing of Los Angeles trace
gas distributions from a mountaintop site.” Atmos. Meas. Tech. 7:
713-729. 10.5194/amt-7-713-2014. (2014a).

58. Fu, D., T. J.
Pongetti, J. F. L. Blavier, T. J. Crawford, K. S. Manatt, G. C. Toon, K. W.
Wong and S. P. Sander “Near-infrared remote sensing of Los Angeles trace
gas distributions from a mountaintop site.” Atmos. Meas. Tech. 7
(3): 713-729. 10.5194/amt-7-713-2014. (2014b).

59. Gatebe, C. K. and M.
D. King “Airborne spectral BRDF of various surface types (ocean,
vegetation, snow, desert, wetlands, cloud decks, smoke layers) for remote
sensing applications.” Remote Sensing of Environment 179:
131-148. (2016).

60. Gaubert, B., H. M.
Worden, A. F. J. Arellano, L. K. Emmons, S. Tilmes, J. Barré, S. Martinez
Alonso, F. Vitt, J. L. Anderson, F. Alkemade, S. Houweling and D. P. Edwards
“Chemical Feedback From Decreasing Carbon Monoxide Emissions.” Geophysical
Research Letters
44 (19): 9985-9995. doi:10.1002/2017GL074987.

61. Ghulam, A., J.
Fishman and M. Maimaitiyiming Spectral separabilty analysis of five soybean
cultivars with different ozone tolerance using hyperspectral field spectroscopy
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2016),
National Convention Center, Beijing, China. . (2016).

62. Ghulam, A., J.
Fishman, M. Maimaitiyiming, J. L. Wilkins, M. Maimaitijang, J. Welsh, B. Bira
and M. Grzovic “Characterizing crop responses to background ozone in an
open-air agricultural field by using reflectance spectrometry.” IEEE
Geosci. Remote Sens. Lttrs.
12: 1307-1311.
10.1109/LGRS.2015.2397001. (2015).

63. Goes, J. I., H. d. R.
Gomes, K. Al-Hashimi and A. Buranapratheprat Ecological drivers of Green
Noctiluca blooms in two monsoonal driven ecosystems. Global Ecology and
Oceanography of Harmful Algal Blooms
. P. Glibert, E. Berdalet, M. Burford,
P. G. and M. Zhou, Springer. 232: 155-169. (2018).

64. Goldberg, D. L., C.
P. Loughner, M. Tzortziou, J. W. Stehr, K. E. Pickering, L. T. Marufu and R. R.
Dickerson “Higher surface ozone concentrations over the Chesapeake Bay
than over the adjacent land: Observations and models from the DISCOVER-AQ and
CBODAQ campaigns.” Atmospheric Environment 84: 9-19. (2014).

65. Gomes, H. d. R., Q.
Xu, J. Ishizaka, E. J. Carpenter, P. L. Yager and J. I. Goes “The
influence of nutrients in nice partitioning of phytoplankton communities – a
contrast between the Amazon River plume and the Changiang (Yangtze) River
diluted water of the East China Sea.” Frontiers in Marine Science
(Marine Biogeochemistry)
accepted. (2018).

66. Gordon, I. E., L. S.
Rothman, C. Hill, R. V. Kochanov, Y. Tan and e. al. “The HITRAN2016
Molecular Spectroscopic Database.” J. Quant. Spectrosc. Radiat.
. doi:10.1016/j.jqsrt.2017.06.038. (2017).

67. Hamer, P. D., K. W.
Bowman, D. K. Henze, J.-L. Attié and V. Marécal “The impact of observing
characteristics on the ability to predict ozone under varying polluted
photochemical regimes.” Atmos. Chem. Phys. 15: 10645-10667.

68. Hayashida, S., S.
Kayaba, M. Deushi, K. Yamaji, A. Ono, M. Kajino, T. T. Sekiyama, T. Maki and X.
Liu Study of Lower Tropospheric Ozone over Central and Eastern China:
Comparison of Satellite Observation with Model Simulation. Land-Atmospheric
Research Applications in South and Southeast Asia
. V. K., O. T. and J. C.,
Springer, Cham. (2018).

69. He, H., C. P.
Loughner, J. W. Stehr, H. L. Arkinson, L. C. Brent, M. B. Follette-Cook, M. A.
Tzortziou, K. E. Pickering, A. M. Thompson, D. K. Martins, G. S. Diskin, B. E.
Anderson, J. H. Crawford, A. J. Weinheimer, P. Lee, J. C. Hains and R. R.
Dickerson “An elevated reservoir of air pollutants over the Mid-Atlantic
States during the 2011 DISCOVER-AQ campaign: Airborne measurements and
numerical simulations.” Atmospheric Environment 85: 18-30.

70. Hilsenrath, E. and K.
Chance “NASA ups the TEMPO on monitoring air pollution.” The Earth
Observer 25 (Issue): 10-15, 35. (2013).

71. Hlaing, S., T.
Harmel, A. Gilerson and R. Arnone ” Evaluation of the VIIRS ocean color
monitoring performance in coastal regions.” Remote Sensing of
139: 398-414. (2013).

72. Hou, W., J. Wang, X.
Xu and J. Reid “An algorithm for hyperspectral remote sensing of
aerosols. 2. Information content analysis for aerosol parameters and principal
components of surface spectra.” Journal of Quantitative Spectroscopy
& Radiative Transfer
192: 14-29. DOI:
10.1016/j.jqsrt.2017.01.041. (2017).

73. Hou, W., J. Wang, X.
Xu, J. Reid and D. Han “An algorithm for hyperspectral remote sensing of
aerosols 1. Development of theoretical framework.” Journal of
Quantitative Spectroscopy & Radiative Transfer
178: 400-415.
10.1016/j.jqsrt.2016.01.019. (2016).

74. Hu, C. “An
empirical approach to derive MODIS ocean color patterns under severe sun
glint.” Geophys. Res. Lett. 38: L01603. (2011).

75. Hu, C., B. B. Barnes,
L. Qi and A. A. Corcoran “A harmful algal bloom of Karenia brevis in the
northeastern Gulf of Mexico as revealed by MODIS and VIIRS: A comparison.”
Sensors (15): 2873-2887. 10.3390/s150202873. (2015a).

76. Hu, C., B. B. Barnes,
L. Qi, C. Lembke and D. English “Vertical migration of Karenia brevis in
the northeastern Gulf of Mexico observed from glider measurements.”
Harmful Algae
58: 59-65. 10.1016/j.hal.2016.07.005. (2016a).

77. Hu, C., J.
Cannizzaro, K. L. Carder, F. E. Muller-Karger and R. Hardy “Remote
detection of Trichodesmium blooms in optically complex coastal waters: Examples
with MODIS full-spectral data.” Remote Sens. Environ. 114:
2048-2058. (2010).

78. Hu, C., S. Chen, M.
Wang, B. Murch and J. Taylor “Detecting surface oil slicks using VIIRS
nighttime imagery under moon glint: a case study in the Gulf of Mexico.” Remote
Sensing Letters
6: 295-301. (2015b).

79. Hu, C. and L. Feng
“GOES Imager shows diurnal change of a Trichodesmium erythraeum bloom on
the west Florida shelf.” IEEE Geosci. Remote Sens. Lett., 11:
1428 – 1432. (2014).

80. Hu, C. and L. Feng
“Modified MODIS fluorescence line height data product to improve image interpretation
for red tide monitoring in the eastern Gulf of Mexico.” J. Appl. Remote
11 (1): 012003. doi: 10.1117/1.JRS.11.012003. (2016).

81. Hu, C., L. Feng, R.
F. Hardy and E. J. Hochberg “Spectral and spatial requirements of remote
measurements of pelagic Sargassum macro algae.” Remote Sens. Environ.
167: 229-246. 10.1016/j.rse.2015.05.022. (2015c).

82. Hu, C., L. Feng, J.
Holmes, G. A. Swayze, I. Leifer, C. Melton, O. Garcia, I. MacDonald, M. Hess,
F. Muller-Karger, G. Graettinger and R. Green “Remote sensing estimation
of surface oil volume during the 2010 Deepwater Horizon oil blowout in the Gulf
of Mexico: scaling up AVIRIS observations with MODIS measurements.” J.
Appl. Remote Sens.
12 (2): 026008. (2018a).

83. Hu, C., L. Feng and
Z. Lee “Evaluation of GOCI sensitivity for at-sensor radiance and
GDPS-retrieved chlorophyll-a products.” Ocean Science Journal 47:
279-285. (2012a).

84. Hu, C., L. Feng and
Z. Lee “Uncertainties of SeaWiFS and MODIS remote sensing reflectance:
Implications from clear water measurements.” Remote Sens. Environ. 133:
168-182. (2013).

85. Hu, C., L. Feng, Z.
Lee, C. O. Davis, A. Mannino, C. R. McClain and B. A. Franz “Dynamic range
and sensitivity requirements of satellite ocean color sensors: learning from
the past.” Applied Optics 51 (25): 6045-6062. (2012b).

86. Hu, C., R. Hardy, E.
Ruder, A. Geggel, L. Feng, S. Powers, F. Hernandez, G. Graettinger, J. Bodnar
and T. McDonald “Sargassum coverage in the northeastern Gulf of Mexico
during 2010 from Landsat and airborne observations: Implications for the
Deepwater Horizon oil spill impact assessment.” Marine Pollution
107: 15-21. 10.1016/j.marpolbul.2016.04.045. (2016b).

87. Hu, C., Z. Lee and B.
Franz “Chlorophyll algorithms for oligotrophic oceans: A novel approach
based on three-band reflectance difference.” J. Geophys. Res 117:
C01011. 10.1029/2011JC007395. (2012c).

88. Hu, C., B. Murch, B.
B. Barnes, M. Wang, J.-P. Marechal, J. Franks, D. Johnson, B. Lapointe, D. S.
Goodwin, J. M. Schell and A. N. S. Siuda “Sargassum watch warns of
incoming seaweed.” Eos 97 (Issue): 10-15. 10.1029/2016EO058355. (2016c).

89. Hu, C., B. Murch, A.
A. Corcoran, L. Zheng, B. B. Barnes, R. H. Weisberg, K. Atwood and J. M. Lenes
“Developing a smart semantic web with linked data and models for near
real-time monitoring of red tides in the eastern Gulf of Mexico.” IEEE
Systems Journal
10: 1282 – 1290. 10.1109/JSYST.2015.2440782.

90. Hu, C., S.
Sathyendranath, J. D. Shutler, C. W. Brown, T. S. Moore, S. E. Craig, Soto and
A. Subramaniam Detection of Dominant Algal Blooms by Remote Sensing. IOCCG
(2014): Phytoplankton Functional Types from Space
. S. Sathyendranath.
Dartmouth, Canada. No. 15. (2014).

91. Hu, C., R. H.
Weisberg, Y. Liu, L. Zheng, K. Daly, D. English, J. Zhao and G. Vargo “Did
the northeastern Gulf of Mexico become greener after the Deepwater Horizon oil
spill?” Geophys. Res. Lett. 38: L09601.
10.1029/2011GL047184. (2011).

92. Hu, L., C. Hu and
M.-X. He “Remote estimation of biomass of Ulva prolifera macroalgae in the
Yellow Sea.” Remote Sens. Envion. 192: 217-227.
10.1016/j.rse.2017.01.037. (2017).

93. Huang, G., M. J.
Newchurch, S. Kuang, P. I. Buckley, W. Cantrell and L. Wang “Definition
and Determination of Ozone Laminae Using Continuous Wavelet Transform (CWT)
Analysis.” Atmospheric Environment 104: 125-131.
10.1016/j.atmosenv.2014.12.027. (2015).

94. Huang, M., K. W.
Bowman, G. R. Carmichael, T. Chai, R. B. Pierce, J. R. Worden, Ming Luo, I. B.
Pollack, T. B. Ryerson, J. B. Nowak, J. A. Neuman, J. M. Roberts, E. L. Atlas
and D. R. Blake “Changes in nitrogen oxides emissions in California during
2005-2010 indicated from top-down and bottom-up emission estimates.” Journal
of Geophysical Research: Atmospheres
119 (22): 12,928.
10.1002/2014JD022268. (2014).

95. Huang, M., K. W.
Bowman, G. R. Carmichael, R. B. Pierce, H. M. Worden, M. Luo, O. R. Cooper, I.
B. Pollack, T. B. Ryerson and S. S. Brown “Impact of Southern California
anthropogenic emissions on ozone pollution in the mountain states: Model
analysis and observational evidence from space.” Journal of Geophysical
Research: Atmospheres
Volume 118, Issue 22, pages , 27 November 2013
(22): 12,784-712,803. 10.1002/2013JD020205. (2013a).

96. Huang, M., G. R.
Carmichael, T. Chai, R. B. Pierce, S. J. Oltmans, D. A. Jaffe, K. W. Bowman, A.
Kaduwela, C. Cai, S. N. Spak, A. J. Weinheimer, L. G. Huey and G. S. Diskin
“Impacts of transported background pollutants on summertime western US air
quality: model evaluation, sensitivity analysis and data assimilation.” Atmos.
Chem. Phys.
13: 359-391. 10.5194/acp-13-359-2013. (2013b).

97. Jacob, D. J., A. J.
Turner, J. D. Maasakkers, J. Sheng, K. Sun, X. Liu, K. Chance, I. Aben, J.
McKeever and C. Frankenberg “Satellite observations of atmospheric methane
and their value for quantifying methane emissions.” Atmos. Chem. Phys.
16: 4371-4396. doi:10.5194/acp-16-14371-2016. (2016).

98. Jenkins, C. A., J. I.
Goes, K. McKee, H. D. R. Gomes, R. Arnone, M. Wang, M. Ondrusek and e. al.
“High-resolution shipboard measurements of phytoplankton: a way forward
for enhancing the utility of satellite SST and chlorophyll for mapping
microscale features and frontal zones in coastal waters.” SPIE
Asia-Pacific Remote Sensing
: 98780U-98780U. 10.1117/12.2225875. (2016).

99. Jiang, L. and M. Wang
“Identification of pixels with stray light and cloud shadow contaminations
in the satellite ocean color data processing.” Appl. Opt. 52
(27): 6757-6770. 10.1364/AO.52.006757. (2013).

100. Jiang, Z., B. C.
McDonald, H. Worden, J. R. Worden, K. Miyazaki, Z. Qu, D. K. Henze, D. B. A.
Jones, A. F. Arellano, E. V. Fischer, L. Zhu and K. F. Boersma “Unexpected
slowdown of US pollutant emission reduction in the past decade.” Proceedings
of the National Academy of Sciences
115 (20): 5099-5104.
10.1073/pnas.1801191115. (2018).

101. Jin, X., A. M. Fiore,
L. T. Miller, L. N. Lamsal, B. Duncan, K. F. Boersma, I. D. Smedt, G. G. Abad,
K. Chance and G. S. Tonnesen “Evaluating a space-based indicator of
surface ozone-NOx-VOC sensitivity over mid-latitude source regions and
application to decadal trends.” J. Geophys. Res. Atmos. 122.
doi: 10.1002/2017JD026720. (2017).

102. Jönsson, B. F. and J.
E. Salisbury “Episodicity in Phytoplankton Dynamics in a Coastal
Region.” Geophys. Res. Lett. 43. 10.1002/2016GL068683.

103. Judd, L., J.
Al-Saadi, L. Valin, R. Pierce, K. Yang, S. Janz, M. Kowalewski, J. Szykman, M.
Tiefengraber and M. Mueller “The Dawn of Geostationary Air Quality
Monitoring: Case Studies From Seoul and Los Angeles.” Front. Environ.
6: 85. doi: 10.3389/fenvs.2018.00085. (2018).

104. Kim, S.-W., B. C.
McDonald, S. Baidar, S. S. Brown, B. Dube, G. J. Frost, R. A. Harley, J. S.
Holloway, S. A. McKeen, J. A. Newman, J. B. Nowak, H. Oetjen, I. Ortega, I. B.
Pollack, J. M. Roberts, T. B. Ryerson, R. Thalman, M. Trainer, R. Volkamer, N.
Wagner, R. A. Washenfelder, E. Waxman and C. J. Young “Modeling the weekly
cycle of NOx and CO emissions and their impacts on O3 in the Los Angeles Basin
during the CalNex 2010 field campaign ” JGR 121 (3):
1340-1360. 10.1002/2015JD024292. (2016).

105. Kim, S.-W., V.
Natraj, S. Lee, H.-A. Kwon, R. Park, J. de Gouw, G. Frost, J. Kim, J. Stutz, M.
Trainer, C. Tsai and C. Warneke “Impact of high-resolution a priori
profiles on satellite-based formaldehyde retrievals.” Atmos. Chem.
18: 7639-7655. doi: 10.5194/acp-18-7639-2018. (2018).

106. Knepp, T., M. Pippin,
J. Crawford, G. Chen, J. Szykman, R. Long, L. Cowen, A. Cede, N. Abuhassan, J.
Herman, R. Delgado, J. Compton, T. Berkoff, J. Fishman, D. Martins, R.
Stauffer, A. M. Thompson, A. Weinheimer, D. Knapp, D. Montzka, D. Lenschow and
D. Neil “Estimating surface NO2 and SO2 mixing ratios from fast-response
total column observations and potential application to geostationary
missions.” J Atmos Chem 10.1007/s10874-013-9257-6.
10.1007/s10874-013-9257-6. (2013).

107. Kollonige, D. E., A.
M. Thompson, M. Josipovic, M. Tzortziou, B. J. P., R. Burger, D. K. Martins, P.
G. van Zyl, V. Vakkari and L. Laakso “OMI satellite and ground
based Pandora
observations and their application to surface NO2 estimations at terrestrial
and marine sites.” Journal of Geophysical Research: Atmospheres 123:
1441-1459. 10.1002/2017JD026518. (2018).

108. Kuang, S., M. J.
Newchurch, J. Burris and X. Liu “Ground-based lidar for atmospheric
boundary layer ozone measurements.” Appl. Opt. 52:
3557-3566. (2013).

109. Kuang, S., M. J.
Newchurch, J. Burris, L. Wang, P. I. Buckley, S. Johnson, K. Knupp, G. Huang,
D. Phillips and W. Cantrell “Nocturnal Ozone Enhancement in the Lower
Troposphere Observed by Lidar.” Atmospheric Environment 49:
6078-6084. (2011).

110. Kuang, S., M. J.
Newchurch, J. Burris, L. Wang, K. Knupp and G. Huang
“Stratosphere-to-troposphere transport revealed by ground-based lidar and
ozonesonde at a midlatitude site.” J. Geophys. Res. 117:
D18305. (2012).

111. Kwon, H.-A., R. J.
Park, J. I. Jeong, S. Lee, G. González Abad, T. P. Kurosu, P. I. Palmer and K.
Chance “Sensitivity of formaldehyde (HCHO) column measurements from a
geostationary satellite to temporal variation of the air mass factor in East
Asia.” Atmos. Chem. Phys. 17: 4673-4686. doi:
10.5194/acp-17-4673-2017. (2017).

112. Laughner, J. L. and
R. C. Cohen “Quantification of the effect of modeled lightning NO2 on
UV-visible air mass factors.” Atmos. Meas. Tech. 10:
4403-4419. doi: 10.5194/amt-10-4403-2017. (2017).

113. Laughner, J. L., A.
Zare and R. C. Cohen “Effects of daily meteorology on the interpretation
of space-based remote sensing of NO2.” Atmos. Chem. Phys. 16:
15247-15264. 10.5194/acp-16-15247-2016. (2016).

114. Laughner, J. L., Q.
Zhu and R. Cohen “Evaluation of version 3.0B of the BEHR OMI NO2
product.” Atmos. Meas. Tech. Discuss. 2018: 1-25.
10.5194/amt-2018-248. (2018a).

115. Laughner, J. L., Q.
Zhu and R. C. Cohen “The Berkeley High Resolution Tropospheric NO2
Product.” Earth Syst. Sci. Data Discuss. 2018: 1-33.
10.5194/essd-2018-66. (2018b).

116. Le, C. and C. Hu
“A hybrid approach to estimate chromophoric dissolved organic matter in
turbid estuaries from satellite measurements: A case study for Tampa Bay.”
Opt Express 21: 18849-18871. 10.1364/OE.21.018849. (2013).

117. Le, C., C. Hu, J.
Cannizzaro and H. Duan “Long-term distribution patterns of remote sensed
water quality parameters in Chesapeake Bay.” Estuarine, Coastal and
Shelf Science
128: 93-103. 10.1016/j.bbr.2011.03.031. (2013a).

118. Le, C., C. Hu, J.
Cannizzaro, D. English and C. Kovach “Climate-driven chlorophyll a changes
in a turbid estuary: Observation from satellites and implications for
management.” Remote Sens. Environ. 130: 11-24. (2013b).

119. Le, C., C. Hu, D.
English, J. Cannizzaro, Z. Chen, L. Feng, R. Boler and C. Kovach “Towards
a long-term chlorophyll-a data record in a turbid estuary using MODIS
observations.” Progress in Oceanography 109: 90-103.

120. Le, C., J. C.
Lehrter, C. Hu, H. MacIntyre and M. W. Beck “Satellite observation of
particulate organic carbon dynamics on the Louisiana continental shelf.” J.
Geophys. Res. Oceans
122: 555-569. DOI: 10.1002/2016JC012275.

121. Le, C., J. C.
Lehrter, C. Hu and D. R. Obenour “Satellite-based empirical models linking
river plume dynamics with hypoxic area and volume.” Geophys. Res. Lett.
43: 2693-2699. doi:10.1002/2015GL067521. (2016a).

122. Le, C., J. C.
Lehrter, B. A. Schaeffer, C. Hu, M. C. Murrell, J. D. Hagy, R. M. Greene and M.
Beck “Bio-optical water quality dynamics observed from MERIS in Pensacola
Bay, Florida.” Estuarine, Coastal and Shelf Science 173:
26-38. doi:10.1016/j.ecss.2016.02.003. (2016b).

123. Lee, C. C., S. C.
Sheridan, B. B. Barnes, C. Hu, D. E. Pirhalla, V. Ransibrahmanakul and K. Shein
“The development of a non-linear autoregressive model with exogenous input
(NARX) to model climate-water clarity relationships: reconstructing a
historical water clarity index for the coastal waters of the southeastern
USA.” Theor. Appl. Climatol. 130: 557-569. DOI 10.1007/s00704-016-1906-7.

124. Lee, Z., R. Arnone,
C. Hu, P. J. Werdell and B. Lubac “Uncertainties of optical parameters and
their propagations in an analytical ocean color inversion algorithm.” Appl.
49: 369-381. (2010).

125. Lee, Z., C. Hu, R.
Arnone and Z. Liu “Impact of sub-pixel variations on ocean color remote
sensing products.” Opt. Express 20: 20,844-820,854. (2012a).

126. Lee, Z., J. Marra, M.
J. Perry and M. Kahru “Estimating oceanic primary productivity from ocean
color remote sensing: A strategic assessment.” Journal of Marine
149: 50-59. (2015a).

127. Lee, Z., S. Shang, C.
Hu and G. Zibordi “Spectral interdependence of remote-sensing reflectance
and its implications on the design of ocean color satellite sensors.” Applied
53: 3301 – 3310. (2014a).

128. Lee, Z., S. Shang and
R. Stavn “AOPs are not additive: On the biogeo-optical modeling of the
diffuse attenuation coefficient.” Front. Mar. Sci 5. doi:
10.3389/fmars.2018.00008. (2018a).

129. Lee, Z.-P., R.
Arnone, D. Boyce, B. Franz, S. Greb, C. Hu, S. Lavender, M. Lewis, B.
Schaeffer, S. Shang, M. Wang, M. Wernand and C. Wilson. “Global water
clarity: continuing a century-long monitoring.” Eos 99 (Issue).
10.1029/2018EO097251. (2018b).

130. Lee, Z.-P., C. Hu, S.
L. Shang, K. P. Du, M. Lewis, R. Arnone and R. Brewin “Penetration of
UV-Visible solar light in the global oceans: Insights from ocean color remote
sensing.” J. Geophys. Res. 118 (9): 4241-4255.
10.1002/jgrc.20308. (2013a).

131. Lee, Z.-P. and S.
Shang “Visibility: How applicable is the century-old Koschmieder
model?” J. Atmos. Sci. (2016).

132. Lee, Z.-P., S. Shang,
K. Du and J. Wei “Resolving the long-standing puzzles about the observed
Secchi depth relationships.” Limnology and Oceanography in press.
10.1002/lno.10940. (2018c).

133. Lee, Z.-P., S. Shang,
C. Hu, K. Du, A. Weidemann, W. Hou, J. Lin and G. Lin “Secchi disk depth:
A new theory and mechanistic model for underwater visibility.” Remote
Sens. Env.
169: 139-149. (2015b).

134. Lee, Z.-P., S. Shang,
L. Qi and J. Yan “A semi-analytical scheme to estimate Secchi-disk depth
from Landsat-8 measurements,.” RSE 177: 101-106. (2016a).

135. Lee, Z. P. and Y.
Huot “On the non-closure of particle backscattering coefficient in
oligotrophic oceans.” Opt. Exp. 22: 29223-29233. (2014).

136. Lee, Z. P., M. Jiang,
C. Davis, N. Pahlevan, Y.-H. Ahn and R. Ma “Impact of multiple satellite
ocean color samplings in a day on assessing phytoplankton dynamics.” Ocean
Science Journal
47 (3): 323-329. (2012b).

137. Lee, Z. P., J. Marra,
M. J. Perry and M. Kahru “Estimating oceanic primary productivity from
ocean color remote sensing: a strategic assessment.” J. Marine Systems.
10.1016/j.jmarsys.2014.11.015. (2014b).

138. Lee, Z. P., N.
Pahlevan, Y.-H. Ahn, S. Greb and D. O’Donnell “A robust approach to
directly measure water-leaving radiance in the field.” Applied Optics
52 (8). (2013b).

139. Lee, Z. P., S. L.
Shang, K. P. Du, J. Wei and R. Arnone “Usable solar radiation and its
attenuation in the upper water column.” J. Geophys. Res. 119.
10.1002/2013JC009507. (2014c).

140. Lee, Z. P., S. L.
Shang, G. Lin, J. Chen and D. Doxaran “On the modeling of hyperspectral
remote-sensing reflectance of high-sediment-load waters in the Vis-SWIR
domain.” Appl. Opt. 55: 1738-1750. (2016b).

141. Lee, Z. P., J. Wei,
K. Voss, M. Lewis, A. Bricaud and Y. Huot “Hyperspectral absorption
coefficient of “pure” seawater in the 350-550 nm range inverted from
remote-sensing reflectance.” Appl. Opt. 54: 546-558.

142. Li, J., C. Hu, Q.
Shen, B. B. Barnes, B. Murch, L. Feng, M. Zhang and B. Zhang “Recovering
low quality MODIS-Terra data over highly turbid waters through noise reduction
and regional vicarious calibration adjustment: A case study in Taihu
Lake.” Remote Sens. Environ. 197: 72-84.
10.1016/j.rse.2017.05.027. (2017).

143. Li, X., C. Hu, S. Bao
and X. Yang “MODIS captures large-scale atmospheric gravity waves over the
Atlantic Ocean.” Acta Oceanol. Sin. 35: 1-2. (2016).

144. Lin, J., Z. Lee, M.
Ondrusek and K. Du “Remote sensing of normalized diffuse attenuation
coefficient of downwelling irradiance.” J. Geophys. Res. Oceans 121
(9): 6717-6730. 10.1002/2016JC011895. (2016a).

145. Lin, J., Z. P. Lee,
M. Ondrusek and M. Kahru “Attenuation coefficient of usable solar
radiation of the global oceans.” JGR. 10.1002/2015JC011528.

146. Lin, Z., W. Li, C. K.
Gatebe, R. Poudyal and K. Stamnes “Radiative transfer simulations of the
two-dimensional ocean glint reflectance and determination of the sea surface
roughness.” Applied Optics 55 (6): 1206-1215. (2016c).

147. Liu, C., X. Liu, M.
G. Kowalewski, S. J. Janz, G. González Abad, K. E. Pickering, K. Chance and L.
N. Lamsal “Analysis of ACAM Data for Trace Gas Retrievals during the 2011
DISCOVER-AQ Campaign.” J. Spectroscopy 2015: ID827160.
doi:10.1155/2015/827160. (2015a).

148. Liu, C., X. Liu, M.
G. Kowalewski, S. J. Janz, G. González Abad, K. E. Pickering, K. Chance and L.
N. Lamsal “Characterization and verification of ACAM slit functions for trace
gas retrievals during the 2011 DISCOVER-AQ flight campaign.” Atmos.
Meas. Tech.
8: 751-759. doi:10.5194/amt-8-751-2015. (2015b).

149. Liu, F., S. Choi, C.
Li, V. E. Fioletov, C. A. McLinden, J. Joiner, N. A. Krotkov, H. Bian, G.
Janssens-Maenhout, A. S. Darmenov and A. M. da Silva “A new global
anthropogenic SO2 emission inventory for the last decade: A mosaic of
satellite-derived and bottom-up emissions.” Atmos. Chem. Phys. Discuss.
2018: 1-27. 10.5194/acp-2018-331. (2018).

150. Liu, X., A. P. Mizzi,
J. L. Anderson, I. Fung and R. C. Cohen “Assimilation of satellite NO2
observations at high spatial resolution using OSSEs.” Atmos. Chem.
17: 7067-7081. 10.5194/acp-17-7067-2017. (2017).

151. Long, J. S., C. Hu
and M. Wang “Long-term spatiotemporal variability of southwest Florida
whiting events from MODIS observations.” International Journal of
Remote Sensing
39 (3): 906-923. DOI: 10.1080/01431161.2017.1392637.

152. Lou, X. and C. Hu
“Diurnal changes of a harmful algal bloom in the East China Sea:
Observations from GOCI.” Remote Sens. Environ. 140: 562-572.

153. Loughner, C., M.
Tzortziou, M. Follette-Cook, K. Pickering, D. Goldberg, C. Satam, A.
Weinheimer, J. Crawford, D. Knapp, D. Montzka, G. Diskin and R. R. Dickerson
“Impact of bay breeze circulations on surface air quality and boundary
layer export ” Journal of Applied Meteorology and Climatology 53.
0.1175/JAMC-D-13-0323.1. (2014).

154. Loughner, C. P., M.
Tzortziou, S. Shroder and K. E. Pickering “Enhanced dry deposition of
nitrogen pollution near coastlines: A case study covering the Chesapeake Bay
estuary and Atlantic Ocean coastline.” J. Geophys. Res. Atmos. 121:
14,221-214,238. doi:10.1002/2016JD025571. (2016).

155. Lu, Y., L. Li, C. Hu,
L. Li, M. Zhang, S. Sun and C. Lv?? “Sunlight induced chlorophyll
fluorescence in the near-infrared spectral region in natural waters:
Interpretation of the narrow reflectance peak around 761 nm.” J.
Geophys. Res. Oceans,
(121): 5017-5029. 10.1002/2016JC011797. (2016a).

156. Lu, Y., S. Sun, M.
Zhang, B. Murch and C. Hu “Refinement of the critical angle calculation
for the contrast reversal of oil slicks under sunglint.” J. Geophys.
Res. Oceans
121: 148-161. 10.1002/2015JC011001. (2016b).

157. Lyapustin, A., S.
Korkin, Y. Wang, B. Quayle and I. Laszlo “Discrimination of biomass
burning smoke and clouds in MAIAC algorithm.” Atmos. Chem. Phys. 12
(20): 9679-9686. 10.5194/acp-12-9679-2012. (2012).

158. Lyapustin, A., Y.
Wang, S. Korkin and D. Huang “MODIS Collection 6 MAIAC Algorithm.” Atmos.
Meas. Tech. Discuss.
2018: 1-50. 10.5194/amt-2018-141. (2018).

159. Marais, E. A. and K.
Chance “A geostationary air quality monitoring platform for Africa.” The
Clean Air Journal
25: 40-45. (2015).

160. Marais, E. A., D. J.
Jacob, S. Choi, J. Joiner, M. Belmonte-Rivas, R. C. Cohen, S. Beirle, L. T.
Murray, L. Schiferl, V. Shah and L. Jaeglé “Nitrogen oxides in the global
upper troposphere: interpreting cloud-sliced NO2 observations from the OMI
satellite instrument.” Atmos. Chem. Phys. Discuss. 2018:
1-14. 10.5194/acp-2018-556. (2018).

161. Marechal, J.-P., C.
Hellio and C. Hu “A simple, fast, and reliable method to predict Sargassum
washing ashore in the Lesser Antilles.” Remote Sensing Applications:
Society and Environment
5: 54-63. 10.1016/j.rsase.2017.01.001.

162. Martins, D., R.
Najjar, M.Tzortziou, N. Abuhassan and A. Thompson “Investigation of the
Spatial and Temporal variability of Ground and Satellite Column Measurements of
NO2 and O3 Over the Atlantic Ocean During the Deposition of Atmospheric
Nitrogen to Coastal Ecosystems Experiment.” J. Geophys. Res. Atmos.
(121): 14,175-114,187. doi:10.1002/2016JD024998. (2016).

163. McLinden, C. A., V.
Fioletov, M. W. Shephard, N. Krotkov, C. Li, R. V. Martin, M. D. Moran and J.
Joiner “Space-based detection of missing sulfur dioxide sources of global
air pollution.” Nature Geoscience 9: 496. 10.1038/ngeo2724


165. Mebust, A. K. and R.
C. Cohen “Observations of a seasonal cycle in NOx emissions from fires in
the African savanna.” Geophys. Res. Lett. 40: 1451-1455.

166. Mebust, A. K. and R.
C. Cohen “Space-based observations of fire NOx emission coefficients: a
global biome scale comparison.” Atmos. Chem. Phys. 14:
2509-2524. 10.5194/acp-14-2509-2014. (2014).

167. Mebust, A. K., A. R.
Russell, R. C. Hudman, L. C. Valin and R. C. Cohen “Characterization of
wildfire NOx emissions using MODIS fire radiative power and OMI tropospheric
NO2 columns.” Atmos. Chem. Phys. 11: 5839-5851. (2011).

168. Mitchell, C., C. Hu,
B. Bowler, D. Drapeau and W. M. Balch “Estimating particulate inorganic
carbon concentrations of the global ocean from ocean color measurements using a
reflectance difference approach.” Journal of Geophysical Research:
122. 10.1002/2017JC013146. (2017).

169. Mizzi, A. P., A. F.
Arellano Jr, D. P. Edwards, J. L. Anderson and G. G. Pfister
“Assimilating compact phase space retrievals of atmospheric composition
with WRF-Chem/DART: a regional chemical transport/ensemble Kalman filter data
assimilation system.” Geosci. Model Dev. 9 (3): 965-978.
10.5194/gmd-9-965-2016. (2016).

170. Moore, T., C. B.
Mouw, J. Sullivan, M. Twardowski, A. Burtner, A. Ciochetto, M. McFarland, A.
Nayak, D. Paladino, N. Stockley, T. H. Johengen, A. Yu, S. Ruberg and A.
Weidemann “Bio-optical properties of cyanobacteria blooms in western Lake
Erie.” Frontiers in Marine Science 4: 300. doi:
10.3389/fmars.2017.00300. (2017).

171. Moses, W. J., S. G.
Ackleson, J. W. Hair, C. A. Hostetler and W. D. Miller “Spatial scales of
optical variability in the coastal ocean: Implications for remote sensing and
in situ sampling.” J. Geophys. Res.: Ocn. 121.
10.1002/2016JC011767. (2016).

172. Mouw, C. B., A.
Ciochetto, B. Grunert and A. Yu “Expanding Understanding of Optical
Variability in Lake Superior with a four-year dataset.” Earth System
Science Data
9: 497-509. 10.5194/essd-9-497-2017. (2017).

173. Mouw, C. B., S. Greb,
D. Aurin, P. M. DiGiacomo, Z. Lee, M. Twardowski, C. Binding, C. Hu, R. Ma, T.
Moore, W. Moses and S. E. Craig “Aquatic color radiometry remote sensing
of coastal and inland waters: Challenges and recommendations for future
satellite missions.” Remote Sensing of Environment 160:
15-30. 10.1016/j.rse.2015.02.001. (2015).

174. Muller-Karger, F. E.,
E. Hestir, C. Ade, K. Turpie, D. A. Roberts, D. Siegel, R. J. Miller, D. Humm,
N. Izenberg, M. Keller, F. Morgan, R. Frouin, A. G. Dekker, R. Gardner, J.
Goodman, B. Schaeffer, B. A. Franz, N. Pahlevan, A. G. Mannino, J. A. Concha,
S. G. Ackleson, K. C. Cavanaugh, A. Romanou, M. Tzortziou, E. S. Boss, R.
Pavlick, A. Freeman, C. S. Rousseaux, J. Dunne, M. C. Long, E. Klein, G. A.
McKinley, J. Goes, R. Letelier, M. Kavanaugh, M. Roffer, A. Bracher, K. R.
Arrigo, H. Dierssen, X. Zhang, F. W. Davis, B. Best, R. Guralnick, J. Moisan,
H. M. Sosik, R. Kudela, C. B. Mouw, A. H. Barnard, S. Palacios, C. Roesler, E.
G. Drakou, W. Appeltans and W. Jetz “Satellite sensor requirements for
monitoring essential biodiversity variables of coastal ecosystems.” Ecol
doi:10.1002/eap.1682. (2018).

175. Natraj, V., X. Liu,
S. Kulawik, K. Chance, R. Chatfield, D. P. Edwards, A. Eldering, G. Francis, T.
Kurosu, K. Pickering, R. Spurr and H. Worden “Multi-spectral sensitivity
studies for the retrieval of tropospheric and lowermost tropospheric ozone from
simulated clear-sky GEO-CAPE measurements.” Atmos. Environ. 45
(39): 7151-7165. (2011).

176. Nault, B. A., J. L.
Laughner, P. J. Wooldridge, J. D. Crounse, J. Dibb, G. Diskin, J. Peischl, J.
R. Podolske, I. B. Pollack, T. B. Ryerson, E. Scheuer, P. O. Wennberg and R. C.
Cohen “Lightning NOx Emissions: Reconciling Measured and Modeled Estimates
With Updated NOx Chemistry.” Geophysical Research Letters 44
(18): 9479-9488. doi:10.1002/2017GL074436. (2017).

177. Nowlan, C. R., X.
Liu, S. J. Janz, M. G. Kowalewski, K. Chance, M. B. Follette-Cook, A. Fried, G.
González Abad, J. R. Herman, L. M. Judd, H. A. Kwon, C. P. Loughner, K. E.
Pickering, D. Richter, E. Spinei, J. Walega, P. Weibring and A. J. Weinheimer
“Nitrogen dioxide and formaldehyde measurements from the GEOstationary
Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator over Houston,
Texas.” Atmos. Meas. Tech. Discuss. 2018: 1-36.
10.5194/amt-2018-156. (2018).

178. Nowlan, C. R., X.
Liu, J. W. Leitch, K. Chance, G. G. Abad, C. Liu, P. Zoogman, J. Cole, T.
Delker, W. Good, F. Murcray, L. Ruppert, D. Soo, M. B. Follette-Cook, S. J.
Janz, M. G. Kowalewski, C. P. Loughner, K. E. Pickering, J. R. Herman, M. R.
Beaver, R. W. Long, J. J. Szykman, L. M. Judd, P. Kelley, W. T. Luke, X. Ren
and a. A. Al-Saadi “Nitrogen dioxide observations from the Geostationary
Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument:
Retrieval algorithm and measurements during DISCOVER-AQ Texas 2013.” Atmos.
Meas. Tech.
9: 2647-2668. 10.5194/amt-9-2647-2016. (2016).

179. Orphal, J., J.
Staehelin, J. Tamminen and e. al. “Absorption cross-sections of ozone in
the ultraviolet and visible spectral regions: Status report 2015.” J.
Mol. Spectrosc.
327: 105-121. doi:10.1016/j.jms.2016.07.007. (2016).

180. Pahlevan, N., Z. Lee,
C. Hu and J. R. Schott “Diurnal remote sensing of coastal/oceanic waters:
A radiometric analysis for Geostationary Coastal and Air Pollution
Events.” Appl. Opt. 53: 648-665. (2014).

181. Pahlevan, N., J.-C.
Roger and Z. Ahmad “Revisiting short-wave-infrared (SWIR) bands for
atmospheric correction in coastal waters.” Optics express 25:
6015-6035. (2017).

182. Pirhalla, D. E., S.
C. Sheridan, C. C. Lee, B. B. Barnes, V. Ransibrahmanakul and C. Hu “Water
clarity patterns in South Florida coastal waters and their linkages to
synoptic-scale wind forcing.” Satellite Oceanography and Meteorology
1 (2): 1-15. 10.18063/SOM. 2016.02.003. (2017).

183. Piters, A. J. M., B.
Buchmann, D. Brunner, R. C. Cohen, J.-C. Lambert, G. de Leeuw, P. Stammes, M.
van Weele and F. Wittrock Data quality and validation of satellite measurements
of atmospheric composition, Chapter 7. The Remote Sensing of Tropospheric
Composition from Space
. J. P. Burrow, U. Platt and P. Borrell. Berlin,
Heidelberg Springer-Verlag. (2011).

184. Pour-Biazar, A., M.
Khan, L. Wang, Y.-H. Park, M. Newchurch, R. T. McNider, X. Liu, D. W. Byun and
R. Cameron “Utilization of Satellite Observation of Ozone and Aerosols in
Providing Initial and Boundary Condition for Regional Air Quality
Studies.” J. Geophys. Res. 116: D18309. (2011).

185. Qi, L., C. Hu, B. B.
Barnes and Z. Lee “VIIRS captures phytoplankton vertical migration in the
NE Gulf of Mexico.” Harmful Algae 66: 40-46. (2017a).

186. Qi, L., C. Hu, J.
Cannizzaro, A. A. Corcoran, D. English and C. Le “VIIRS observations of a
Karenia brevis bloom in the northeastern Gulf of Mexico in the absence of a
fluorescence band.” IEEE Geosci. Remote Sens. Lett., 12:
2213-2217. 10.1109/LGRS.2015.2457773. (2015).

187. Qi, L., C. Hu, H.
Duan, J. Cannizzaro and R. Ma ” A novel MERIS algorithm to derive
cyanobacterial phycocyanin pigment concentrations in a eutrophic lake:
Theoretical basis and practical considerations.” Remote Sens. Environ.
154: 298-317. (2014).

188. Qi, L., C. Hu, P. M.
Visser and R. Ma “Diurnal changes of cyanobacteria blooms in Taihu Lake as
derived from GOCI observations.” Limnol. Oceanogr. 63:
1711-1726. doi: 10.1002/lno.10802. (2018).

189. Qi, L., C. Hu, M.
Wang, S. Shang and C. Wilson “Floating algae blooms in the East China
Sea.” Geophysical Research Letters 44. 10.1002/2017GL075525.

190. Qi, L., Z. Lee, C. Hu
and M. Wang “Requirement of minimal signal-to-noise ratios of ocean color
sensors and uncertainties of ocean color products.” J. Geophys. Res.
122: 2595-2611. doi:10.1002/2016JC012558. (2017c).

191. Reed, A., A. M.
Thompson, D. E. Kollonige, D. K. Martins, M. Tzortziou, J. R. Herman, T. A.
Berkoff, N. K. Abuhassan and A. Cede “Effects of Local Meteorology and
Aerosols on Ozone and Nitrogen Dioxide Retrievals from OMI and Pandora
Spectrometers in Maryland, USA during DISCOVER-AQ 2011.” Journal of
Atmospheric Chemistry
10.1007/s10874-013-9254-9. (2013).

192. Remer, L. A., S.
Mattoo, R. C. Levy, A. Heidinger, R. B. Pierce and M. Chin “Retrieving
aerosol in a cloudy environment: aerosol product availability as a function of
spatial resolution.” Atmos. Meas. Tech. 5: 1823-1840.

193. Robinson, W. D., B.
A. Franz, A. Mannino and J.-H. Ahn “Cloud motion in the GOCI/COMS ocean
colour data.” International Journal of Remote Sensing 37
(20): 4948-4963. 10.1080/01431161.2016.1225177. (2016).

194. Rose, K. C., P. J.
Neale, M. Tzortziou, C. L. Gallegos and T. E. Jordan “Patterns of
spectral, spatial, and long
term variability in light attenuation in an optically
complex sub
estuary.” Limnol
doi:10.1002/lno.11005. (2018).

195. Russell, A. R., A. E.
Perring, L. C. Valin, R. C. Hudman, E. C. Browne, K.-E. Min, P. J. Wooldridge
and R. C. Cohen “A high spatial resolution retrieval of NO2 column
densities from OMI: Method and Evaluation.” Atmos. Chem. Phys. 11:
8543-8554. (2011).

196. Russell, A. R., L. C.
Valin and R. C. Cohen “Trends in OMI NO2 observations over the United
States: effects of emission control technology and the economic
recession.” Atmos. Chem. Phys. 12: 12197-12209.
10.5194/acp-12-12197-2012. (2012).

197. Sahay, A., S. M. Ali,
A. Gupta and J. I. Goes “Ocean color satellite determinations of
phytoplankton size class in the Arabian Sea during the winter monsoon.” Remote
Sensing of the Environment
198: 286-296. doi:
10.1016/j.rse.2017.06.017. (2017).

198. Salisbury, J., C.
Davis, A. Erb, C. Hu, C. Gatebe, C. Jordan, Z. Lee, A. Mannino, C. B. Mouw, C.
Schaaf, B. A. Schaeffer and M. Tzortziou “Coastal Observations from a New
Vantage Point.” Eos 97 (Issue). 10.1029/2016EO062707. (2016).

199. Salisbury, J., D.
Vandemark, B. Jönsson, W. Balch, S. Chakraborty, S. Lohrenz, B. Chapron, B.
Hales, A. Mannino, J. T. Mathis, N. Reul, S. R. Signorini, R. Wanninkhof and K.
K. Yates “How Can Present and Future Satellite Missions Support Scientific
Studies that Address Ocean Acidification?” Oceanography 25
(2): 108-121. 10.5670/oceanog.2015.35. (2015).

200. Salisbury, J. E. and
B. F. Jonsson “Rapid warming and salinity changes alter carbonate
parameters and hide ocean acidification.” Biogeochemistry accepted.

201. Sellitto, P., G.
Dufour, M. Eremenko, J. Cuesta, V. H. Peuch, A. Eldering, D. P. Edwards and J.
M. Flaud “The effect of using limited scene-dependent averaging kernels
approximations for the implementation of fast observing system simulation
experiments targeted on lower tropospheric ozone.” Atmos. Meas. Tech.
6 (8): 1869-1881. 10.5194/amt-6-1869-2013. (2013).

202. Shang, S. L., Z. P.
Lee, L. S. Shi, G. Lin, G. M. Wei and X. Li “Changes in water clarity in
the Bohai Sea: Observations from MODIS.” Remote Sens. Env. 186:
22-31. doi: (2016).

203. Shang, Z., Z. Lee, Q.
Dong and J. Wei “Self-shading associated with a skylight-blocked approach
system for the measurement of water-leaving radiance and its correction.” Applied
56: 7033-7040. (2017).

204. Sheng, J. X., D. J.
Jacob, J. D. Maasakkers, Y. Zhang and M. P. Sulprizio “Comparative
analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE)
satellite instruments for constraining methane emissions on fine regional
scales: application to the Southeast US.” Atmos. Meas. Tech. Discuss.
2018: 1-15. 10.5194/amt-2018-121. (2018).

205. Shi, W. and M. Wang
“Satellite views of the Bohai Sea, Yellow Sea, and East China Sea.” Prog.
104: 30-45. (2012a).

206. Shi, W. and M. Wang
“Sea ice property in the Bohai Sea measured by MODIS-Aqua: 1. Satellite
algorithm development.” J. Mar. Syst. 95: 32-40.
10.1016/j.jmarsys.2012.01.012. (2012b).

207. Shi, W. and M. Wang
“Sea ice property in the Bohai Sea measured by MODIS-Aqua: 2. Study of sea
ice seasonal and inter-annual variability.” J. Mar. Syst. 95:
41-49. (2012c).

208. Shi, W. and M. Wang
“Ocean reflectance spectra at the red, near-infrared, and shortwave
infrared from highly turbid waters: A study in the Bohai Sea, Yellow Sea, and
East China Sea.” Limnol. Oceanogr. 59 (2): 427-444.
10.4319/lo.2014.59.2.0427. (2014).

209. Shi, W., M. Wang and
L. Jiang “Tidal effects on ecosystem variability in the Chesapeake Bay
from MODIS-Aqua.” Remote Sens. Environ. 138: 65-76.
10.1016/j.rse.2013.07.002. (2013).

210. Son, S. and M. Wang
“Water properties in Chesapeake Bay from MODIS-Aqua measurements,.” Remote
Sens. Environ.
123: 163-174. 10.1016/j.rse.2012.03.009. (2012).

211. Soto, I. M., F. E.
Muller-Karger, C. Hu and J. Wolny “Characterization of Karenia brevis
blooms on the West Florida Shelf using ocean color satellite imagery:
implications for bloom maintenance and evolution.” J. Appl. Remote
11 (1): 012002. doi: 10.1117/1.JRS.11.012002. (2016).

212. Spurr, R., J. Wang,
J. Zeng and M. I. Mishchenko “Linearized T-matrix and Mie scattering
computations.” Journal of Quantitative Spectroscopy and Radiative
113 (6): 425-439. (2012).

213. Stauffer, R., A.
Thompson, D. K. Martins, R. D. Clark, C. P. Loughner, R. Delgado, T. A.
Berkoff, E. C. Gluth, R. R. Dickerson, J. W. Stehr, M. Tzortziou and A. J.
Weinheimer “Bay Breeze Influence on Surface Ozone at Edgewood, MD, during
July 2011.” Journal of Atmospheric Chemistry.
10.1007/s10874-012-9241-6. (2012).

214. Streets, D. G., T.
Canty, G. R. Carmichael, B. d. Foy, R. R. Dickerson, B. N. Duncan, D. P.
Edwards, J. A. Haynes, D. K. Henze, M. R. Houyoux, D. J. Jacob, N. A. Krotkov,
L. N. Lamsal, Y. Liu, Z. Lu, R. V. Martin, G. G. Pfister, R. W. Pinderm, R. J.
Salawitch and K. J. Wecht “Emissions estimation from satellite retrievals:
A review of current capability.” Atmospheric Environment 77:
1011-1042. (2013).

215. Suleiman, R. M., K.
Chance and X. Liu A Geostationary air quality monitor for the Middle East.

216. Sullivan, J., T.
Berkoff, G. Gronoff, T. Knepp, M. Pippin, D. Allen, L. Twigg, R. Swap, M.
Tzortziou, A. Thompson, R. Stauffer, G. Wolfe, J. Flynn, S. Pusede, L. Judd, W.
Moore, B. Baker, J. Al-Saadi and T. McGee “The Ozone Water-Land
Environmental Transition Study (OWLETS): An Innovative Strategy
forUnderstanding Chesapeake Bay Pollution Events.” Bull. Amer. Meteor.
in press. 10.1175/BAMS-D-18-0025.1. (2018).

217. Sun, S. and C. Hu
“The challenges of interpreting oil-water spatial and spectral contrasts
for the estimation of oil thickness: Examples from satellite and airborne
measurements of the Deepwater Horizon oil spill.” in revision.

218. Sun, S. and C. Hu
“Sun glint requirement for the remote detection of surface oil
films.” Geophys. Res. Lett. 43: 309-316.
10.1002/2015GL066884. (2016).

219. Sun, S., C. Hu, L.
Feng, G. A. Swayze, J. Holmes, G. Graettinger, I. MacDonald, O. Garcia and I.
Leifer “Oil slick morphology derived from AVIRIS measurements of the
Deepwater Horizon oil spill: Implications for spatial resolution requirements
of remote sensors.” Mar. Pollut. Bull. 103: 276-285.
10.1016/j.marpolbul.2015.12.003. (2016).

220. Sun, S., C. Hu and J.
W. Tunnell Jr. “Surface oil footprint and trajectory of the Ixtoc-I oil
spill determined from Landsat/MSS and CZCS observations.” Marine
Pollution Bulletin
101: 632-641.
doi:10.1016/j.marpolbul.2015.10.036. (2015).

221. Sun, S., Y. Lu, Y.
Liu, M. Wang and C. Hu “Tracking an oil tanker collision and spilled oils
in the East China Sea using multisensor day and night satellite imagery.” Geophysical
Research Letters
45. doi: 10.1002/2018GL077433. (2018).

222. Superczynski, S. D.,
S. Kondragunta and A. I. Lyapustin “Evaluation of Multi-Angle Implementation
of Atmospheric Correction (MAIAC) Aerosol Algorithm through Intercomparison
with VIIRS Aerosol Products and AERONET.” J. Geophys. Res. Atmos. 122:
3005-3022. 10.1002/2016JD025720. (2017).

223. Timmermans, R. M. A.,
W. A. Lahoz, J. L. Attié, V. H. Peuch, R. L. Curier, D. P. Edwards, H. J. Eskes
and P. J. H. Builtjes “Observing System Simulation Experiments for air
quality.” Atmospheric Environment 115: 199-213. (2015).

224. Travis, K. R., D. J.
Jacob, J. A. Fisher, P. S. Kim, E. A. Marais, L. Zhu, K. Yu, C. C. Miller, R.
M. Yantosca, M. P. Sulprizio, A. M. Thompson, P. O. Wennberg, J. D. Crounse, J.
M. St. Clair, R. C. Cohen, J. L. Laughner, J. E. Dibb, S. R. Hall, K. Ullmann,
G. M. Wolfe, I. B. Pollack, J. Peischl, J. A. Neuman and X. Zhou “Why do
models overestimate surface ozone in the Southeast United States?” Atmos.
Chem. Phys.
16 (21): 13561-13577. 10.5194/acp-16-13561-2016. (2016).

225. Turner, A. J., D. J.
Jacob, J. Benmergui, J. Brandman, L. White and C. A. Randles “Assessing
the capability of different satellite observing configurations to resolve the
distribution of methane emissions at kilometer scales.” Atmos. Chem.
18 (11): 8265-8278. 10.5194/acp-18-8265-2018. (2018).

226. Tzortziou, M., J. R.
Herman, Z. Ahmad, C. P. Loughner, N. Abuhassan and A. Cede “Atmospheric
NO2 dynamics and impact on ocean color retrievals in urban nearshore
regions.” J. Geophys. Res. Oceans 119. 10.1002/
2014JC009803. (2014).

227. Tzortziou, M., J. R.
Herman, C. P. Loughner, A.Cede, N. Abuhassan and S. Naik “Spatial and
temporal variability of ozone and nitrogen dioxide over a major urban estuarine
ecosystem.” Journal of Atmospheric Chemistry Special Issue
. 10.1007/s10874-013-9255-8. (2013).

228. Tzortziou, M., L. M
and G. Shrestha “Coordinating and communicating carbon cycle
research.” Eos 98 (Issue). doi: 10.1029/2017EO080201. (2017).

229. Tzortziou, M., O.
Parker, B. Lamb, J. R. Herman, L. Lamsal, R. Stauffer and N. Abuhassan
“Atmospheric Trace Gas (NO2 and O3) Variability in South Korean Coastal
Waters, and Implications for Remote Sensing of Coastal Ocean Color
Dynamics.” Remote Sensing in press (Special Issue: Remote
Sensing of Short-Term Coastal Ocean Processes Enabled from Geostationary
Vantage Point): remotesensing-364450. (2018).

230. Tzortziou, M., C.
Zeri, E. Dimitriou, Y. Ding, R. Jaffé, E. Anagnostou, E. Pitta and A. Mentzafou
“Colored dissolved organic matter dynamics and anthropogenic influences in
a major transboundary river and its coastal wetland.” Limnology and
60: 1222-1240. doi/10.1002/lno.10092. (2015).

231. Valin, L. C., A. M.
Fiore, K. Chance and G. González Abad “The role of OH production in
interpreting the variability of CH2O columns in the southeast U.S.” J.
Geophys. Res. Atmos.
121: 478-493. doi:10.1002/2015JD024012. (2016).

232. Valin, L. C., A. R.
Russell, E. J. Buscela, J. P. Veefkind and R. C. Cohen “Observation of slant
column NO2 using the super-zoom mode of AURA OMI.” Atmos. Meas. Tech.
4: 1929-1935. (2011a).

233. Valin, L. C., A. R.
Russell and R. C. Cohen “Variations of OH radical in an urban plume
inferred from NO2 column measurements.” Geophys. Res. Lett. 40
(9): 1856-1860. (2013).

234. Valin, L. C., A. R.
Russell and R. C. Cohen “Chemical feedback effects on the spatial patterns
of the NOx weekend effect: A sensitivity analysis.” Atmos. Chem. Phys.
14: 1-9. 10.5194/acp-14-1-2014. (2014).

235. Valin, L. C., A. R.
Russell, R. C. Hudman and R. C. Cohen ” Effects of model resolution on the
interpretation of satellite NO2 observations.” Atmos. Chem. Phys. 11:
11647-11655. (2011b).

236. Vandermeulen, R. A.,
A. Mannino, A. Neeley, J. Werdell and R. Arnone “Determining the optimal
spectral sampling frequency and uncertainty thresholds for hyperspectral remote
sensing of ocean color.” Optics Express 25 (16): A785. doi:
10.1364/oe.25.00a785. (2017).

237. Vandermeulen, R. A.,
A. R., S. Ladner and P. Martinolich “Enhanced satellite remote sensing of
coastal waters using spatially improved bio-optical products from
SNPP-VIIRS.” Remote Sensing of Environment 165: 53-63.

238. Vaquero-Martinez, J.,
M. Anton, J. P. Ortiz de Galisteo, V. E. Cachorro, H. Wang, G. González Abad,
R. Roman and M. J. Costa “Validation of integrated water vapor from IMU
satellite instrument against reference GPS data at the Iberian Peninsula.”
Science of the Total Environment 580: 857-864. doi:
10.1016/j.scitotenv.2016.12.032. (2017).

239. Vinnikov, K. Y., R.
R. Dickerson, N. A. Krotkov, E. S. Edgerton and J. J. Schwab “The net
decay time of anomalies in concentrations of atmospheric pollutions.” Atmos.
160: 19-26. 10.1016/j.atmosenv.2017.04.006. (2017).

240. Waldbusser, G. and J.
Salisbury “Ocean Acidification in the Coastal Zone from an Organism’s
Perspective: Multiple System Parameters, Frequency Domains, and Habitats.”
Annual Review of Marine Science 6: 221-247.
10.1146/annurev-marine-121211-172238. (2014).

241. Wang, G., Z. P. Lee
and C. B. Mouw “Multi-spectral remote sensing of phytoplankton pigment
absorption properties in cyanobacteria bloom waters: a regional example in the
western basin of Lake Erie.” Remote Sensing 9 (12): 1309.
doi: 10.3390/rs9121309. (2017a).

242. Wang, G. Q., Z. P.
Lee, D. Mishra and R. Ma “Retrieving absorption coefficients of multiple
phytoplankton pigments from hyperspectral remote sensing reflectance.” Limnol.
. 10.1002/lom3.10102. (2016a).

243. Wang, J., X. Xu, S.
Ding, J. Zeng, R. Spurr, X. Liu, K. Chance and M. Mishchenko “A numerical
testbed for remote sensing of aerosols, and its demonstration for evaluating
retrieval synergy from a geostationary satellite constellation of GEO-CAPE and
GOES-R.” J. Quant. Spectrosc. Radiat. Transfer. 146:
510-528. (2014).

244. Wang, J., X. Xu, D.
K. Henze, J. Zeng, Q. Ji, S.-C. Tsay and J. Huang “Top-down estimate of
dust emissions through integration of MODIS and MISR aerosol retrievals with
the GEOS-Chem adjoint model.” Geophysical Research Letters 39
(8): L08802. doi:10.1029/2012GL051136. (2012a).

245. Wang, L., M.
Follette-Cook, M. J. Newchurch, K. Pickering, A. Pour-Biazar, S. Kuang, W.
Koshak and H. Peterson “Evaluation of lightning-induced tropospheric ozone
enhancements observed by ozone lidar and simulated by WRF/Chem.” Atmos.
115: 185-191. 10.1016/j.atmosenv.2015.05.054. (2015).

246. Wang, L., M. J.
Newchurch, A. Biazar, X. Liu, S. Kuang, M. Khan and K. Chance “Evaluating
AURA/OMI Ozone Profiles Using Ozonesonde Data and EPA Surface Measurements for
August 2006.” Atmospheric Environment 45 (31): 5523-5530.

247. Wang, L., M. J.
Newchurch, A. Pour-Biazar, S. Kuang, M. Khan, X. Liu, W. Koshak and K. Chance
“Estimating the influence of lightning on upper tropospheric ozone using
NLDN lightning data and CMAQ model.” Atmospheric Environment 67:
219-228. (2013a).

248. Wang, M., J. H. Ahn,
L. Jiang, W. Shi, S. Son, Y. J. Park and L. H. Ryu “Ocean color products
from the Korean Geostationary Ocean Color Imager (GOCI).” Opt. Express
21 (3): 3835-3849. (2013b).

249. Wang, M. and C. Hu
“Mapping and quantifying Sargassum distribution and coverage in the
Central West Atlantic using MODIS observations.” Remote Sens. Environ.
183: 356-367. 10.1016/j.rse.2016.04.019. (2016).

250. Wang, M. and C. Hu
“Predicting Sargassum blooms in the Caribbean Sea from MODIS
observations.” Geophys. Res. Lett. 44: 3265-3273.
doi:10.1002/ 2017GL072932. (2017).

251. Wang, M. and C. Hu
“On the continuity of quantifying floating algae of the Central West
Atlantic between MODIS and VIIRS.” International Journal of Remote
39 (12): 3852-3869. DOI: 10.1080/01431161.2018.1447161.

252. Wang, M., C. Hu, J.
Cannizzaro, D. English, X. Han, D. Naar, B. Lapointe, R. Brewton and F.
Hernandez “Remote sensing of Sargassum biomass, nutrients, and pigments.”
Geophys. Res. Lett. in press. 10.1029/2018GL078858. (2018).

253. Wang, M., C. J. Nim,
S. Son and W. Shi “Characterization of turbidity in Florida’s Lake
Okeechobee and Caloosahatchee and St. Lucie estuaries using MODIS-Aqua
measurements.” Water Res. 46: 5410-5422. (2012b).

254. Wang, M. and W. Shi
“Sensor noise effects of the SWIR bands on MODIS-derived ocean color
products.” IEEE Trans. Geosci. Remote Sensing 50: 3280-3292.
10.1109/TGRS.2012.2183376. (2012).

255. Wang, M., W. Shi and
L. Jiang “Atmospheric correction using near-infrared bands for satellite
ocean color data processing in the turbid western Pacific region.” Opt.
20 (2): 741-753. 10.1364/OE.20.000741. (2012c).

256. Wang, M., S. Son, Y.
Zhang and W. Shi “Remote sensing of water optical property for China’s
Lake Taihu using the SWIR atmospheric correction with 1640 and 2130 nm
bands.” IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. (JSTARS) 6
(6): 2505 – 2516. 10.1109/JSTARS.2013.2243820. (2013c).

257. Wang, Y., J. Wang, R.
Levy, X. Xu and J. Reid “MODIS retrieval of aerosol optical depth over
turbid coastal water.” Remote Sensing 9: 595. (2017b).

258. Wang, Y., J. Wang, X.
Xu, D. K. Henze, Y. Wang and Z. Qu “A new approach for monthly updates of
anthropogenic sulfur dioxide emissions from space: Application to China and
implications for air quality forecasts.” Geophysical Research Letters
43 (18): 9931-9938. doi:10.1002/2016GL070204. (2016b).

259. Wecht, K. J., D. J.
Jacob, M. P. Sulprizio, G. W. Santoni, S. C. Wofsy, R. Parker, H. Bösch and J.
R. Worden “Spatially resolving methane emissions in California:
constraints from the CalNex aircraft campaign and from present (GOSAT, TES) and
future (TROPOMI, geostationary) satellite observations.” Atm. Chem.
14: 8175-8184. 10.5194/acp-14-8173-2014. (2014).

260. Wei, J., Z.-P. Lee
and S. Shang “A system to measure the data quality of spectral remote
sensing reflectance of aquatic environments.” JGR-Oceans 121:
8189-8207. (2016a).

261. Wei, J. and Z. P. Lee
“Retrieval of phytoplankton and color detrital matter absorption
coefficients with remote sensing reflectance in an ultraviolet band.” Appl.
54 (4): 636-649. (2015).

262. Wei, J., Z. P. Lee,
M. Lewis, N. Pahlevan, M. Ondrusek and R. Armstrong “Radiance
transmittance measured at the ocean surface.” Opt. Express 23
(9): 11826-11837. (2015).

263. Wei, J., Z. P. Lee,
M. Ondrusek, A. Mannino, M. Tzortziou and R. Armstrong “Spectral slopes of
the absorption coefficient of colored dissolved and detrital material inverted
from UV-visible remote sensing reflectance.” J. Geophys. Res. 121
(3): 1953-1969. doi:10.1002/2015JC011415. (2016b).

264. Werdell, P. J., L. I.
W. McKinna, E. Boss, S. G. Ackleson, S. E. Craig, W. W. Gregg, Z. Lee, S.
Maritorena, C. S. Roesler, C. S. Rousseaux, D. Stramski, J. M. Sullivan, M. S.
Twardowski, M. Tzortziou and X. Zhang “An overview of approaches and
challenges for retrieving marine inherent optical properties from ocean color
remote sensing.” Progress in Oceanography 160: 186-212.
10.1016/j.pocean.2018.01.001. (2018).

265. Wong, K. W., D. Fu,
T. J. Pongetti, S. Newman, E. A. Kort, R. Duren, Y.-K. Hsu, C. E. Miller, Y. L.
Yung and S. P. Sander “Mapping CH4 : CO2 ratios in Los Angeles with
CLARS-FTS from Mount Wilson, California.” Atmos. Chem. Phys. 15:
241-252. 10.5194/acp-15-241-2015. (2015).

266. Wong, K. W., T. J.
Pongetti, T. Oda, K. R. Gurney, S. Newman, R. Duren, C. E. Miller, Y. L. Yung
and S. P. Sander “Monthly trends of top-down methane emissions in the
South Coast Air Basin from 2011-2015.” Atmos. Chem. Phys. Discuss.
10.5194/acp-2016-232. (2016).

267. Worden, H. M., D. P.
Edwards, M. N. Deeter, D. Fu, S. S. Kulawik, J. R. Worden and A. Arellano
“Averaging kernel prediction from atmospheric and surface state parameters
based on multiple regression for nadir-viewing satellite measurements of carbon
monoxide and ozone.” Atmos. Meas. Tech. 6: 1633-1646.
10.5194/amt-6-1633-2013. (2013).

268. Xi, X., V. Natraj, R.
L. Shia, M. Luo, Q. Zhang, S. Newman, S. P. Sander and Y. L. Yung
“Simulated retrievals for the remote sensing of CO2, CH4, CO, and H2O from
geostationary orbit.” Atmos. Meas. Tech. 8 (11): 4817-4830.
10.5194/amt-8-4817-2015. (2015).

269. Xu, Q., C. Sukigara,
J. I. Goes, H. d. R. Gomes, Y. Zhu, S. Wang, A. Shen, E. R. Maure, T. Matsuno,
W. Yuji, S. Yoo and J. Ishizaka “Interannual changes in summer phytoplankton
community composition in relation to water mass variability in the East China
Sea.” J Oceanogr. 10.1007/s10872-018-0484-y. (2018).

270. Xu, X., J. Wang, D.
K. Henze, W. Qu and M. Kopacz “Constraints on aerosol sources using
GEOS-Chem adjoint and MODIS radiances, and evaluation with multisensor (OMI,
MISR) data.” J. Geophys. Res. Atmos. 118: 1-18.
doi:10.1002/jgrd.50515. (2013).

271. Xu, X., J. Wang, Y.
Wang, J. Zeng, O. Torres, Y. Yang, A. Marshak, J. Reid and S. Miller
“Passive remote sensing of altitude and optical depth of dust plumes using
the oxygen A and B bands: First results from EPIC/DSCOVR at Lagrange-1
point.” Geophys. Res. Lett. 44: 7544-7554. 10.1002/
2017GL073939. (2017).

272. Yang, H., R. Arnone
and J. Jolliff “Estimating advective near-surface currents from ocean
color satellite images.” Remote Sensing of the Environment 158:
1-14. (2015).

273. Yang, M., J.
Ishizaka, J. I. Goes, H. d. R. Gomes, E. Mure, M. Hayashi, T. Katano, N. Fujii,
K. Saitoh, T. Mine, H. Yamashita, N. Fujii and A. Mizuno “Improved
MODIS-Aqua Chlorophyll-a Retrievals in the Turbid Semi-Enclosed Ariake Bay,
Japan.” Remote Sensing 10: 1335. doi: 10.3390/rs10091335.

274. Zare, A., P. S.
Romer, T. Nguyen, F. N. Keutsch, K. Skog and R. C. Cohen “A comprehensive
organic nitrate chemistry: insights into the lifetime of atmospheric organic
nitrates.” Atmos. Chem. Phys. Discuss. 2018: 1-33.
10.5194/acp-2018-530. (2018).

275. Zeng, Z. C., Q.
Zhang, V. Natraj, J. S. Margolis, R. L. Shia, S. Newman, D. Fu, T. J. Pongetti,
K. W. Wong, S. P. Sander, P. O. Wennberg and Y. L. Yung “Aerosol
scattering effects on water vapor retrievals over the Los Angeles Basin.” Atmos.
Chem. Phys.
17 (4): 2495-2508. 10.5194/acp-17-2495-2017. (2017).

276. Zhang, M., C. .Hu, J.
Cannizzaro, D. English, B. B. Barnes, P. Carlson and L. Yarbro “Comparison
of two atmospheric correction approaches applied to MODIS T measurements over
North American waters.” Remote Sens. Environ. 216: 442-455.

277. Zhang, M., D.
English, C. Hu, P. Carlson, F. E. Muller-Karger, G. Toro-Farmer and S. R.
Herwitz “Short-term changes of remote sensing reflectance in a
shallow-water environment: observations from repeated airborne hyperspectral
measurements.” International Journal of Remote Sensing 37
(7): 1620-1638. 10.1080/01431161.2016.1159746. (2016).

278. Zhang, M., C. Hu and
D. E. e. al. “Atmospheric correction of AISA measurements over the Florida
Keys optically shallow waters: challenges in radiometric calibration and
aerosol selection.” IEEE J-STARS 8: 4189-4196. (2015a).

279. Zhang, M., C. Hu, J.
Cannizzaro, M. G. Kowalewski and S. J. Janz “Diurnal changes of remote
sensing reflectance over Chesapeake Bay: Observations from the Airborne Compact
Atmospheric Mapper.” Estuarine, Coastal and Shelf Science 200:
181-193. 10.1016/j.ecss.2017.10.021. (2018b).

280. Zhang, M., C. Hu, M.
G. Kowalewski and S. J. Janz “Atmospheric correction of hyperspectral GCAS
airborne measurements over the North Atlantic Ocean and Louisiana Shelf.” IEEE
Trans. Geosci. Remote Sens.
56: 168-179. (2018c).

281. Zhang, M., C. Hu, M.
G. Kowalewski, S. J. Janz, Z. Lee and J. Wei “Atmospheric correction of
hyperspectral airborne GCAS measurements over the Louisiana Shelf using a cloud
shadow approach.” International Journal of Remote Sensing 38
(4): 1162-1179. doi: 10.1080/01431161.2017.1280633. (2017).

282. Zhang, Q., V. Natraj,
K.-F. Li, R.-L. Shia, D. Fu, T. J. Pongetti, S. P. Sander, C. M. Roehl and Y.
L. Yung “Accounting for aerosol scattering in the CLARS retrieval of
column averaged CO2 mixing ratios.” Journal of Geophysical Research:
120 (14): 7205-7218. doi:10.1002/2015JD023499. (2015b).

283. Zhang, Y., H. Yu, T.
F. Eck, A. Smirnov, M. Chin, L. A. Remer, H. Bian, Q. Tan, R. Levy, B. N.
Holben and S. Piazzolla “Aerosol daytime variations over North and South
America derived from multiyear AERONET measurements.” J. Geophys. Res.
117: D05211. (2012).

284. Zhao, J., C. Hu, J.
M. Lenes, R. H. Weisberg, C. Lembke, D. English, J. Wolny, L. Zheng, J. J.
Walsh and G. Kirkpatrick “Three-dimensional structure of a Karenia brevis
bloom: observations from gliders, satellites, and field measurements.” Harmful
29: 22-30.

285. Zhu, L., D. K. Henze,
J. O. Bash, K. E. Cady-Pereira, M. W. Shephard, M. Luo and S. L. Capps
“Sources and impacts of atmospheric NH3: Current understanding and
frontiers for modeling, measurements, and remote sensing in North
America.” Current Pollution Reports 1: 96-116.
10.1007/s40726-015-0010-4. (2015).

286. Zhu, L., D. J. Jacob,
F. N. Keutsch, L. J. Mickley, R. Scheffe, M. Strum, G. González Abad, K.
Chance, K. Yang, B. Rappenglück, D. B. Millet, M. Baasandorj, L. Jaeglé and V.
Shah “Formaldehyde (HCHO) as a hazardous air pollutant: Mapping surface
air concentrations from satellite and inferring cancer risks in the United
States.” Environ. Sci. Technol. 51 (10): 5650-5657.
doi:10.1021/acs.est.7b01356. (2017a).

287. Zhu, L., D. J. Jacob,
P. S. Kim and e. al “Observing atmospheric formaldehyde (HCHO) from space:
Validation and intercomparison of six retrievals from four satellites (OMI,
GOME2A, GOME2B, OMPS) with SEAC4RS aircraft observations over the Southeast US.”
Atmos. Chem. Phys. 16: 13477-13490.
doi:10.5194/acp-16-13477-2016. (2016).

288. Zhu, Y., J. Ishizaka,
S. C. Tripathy, C. Sukigara, J. I. Goes, T. Matsuno and D. J. Suggett
“Relationship between light, community composition and the electron
requirement for carbon fixation in natural phytoplankton.” Marine
Ecology Progress Series
580: 83-100. 10.3354/meps12310. (2017b).

289. Zoffoli, M. L., Z. P.
Lee, M. Ondrusek, J. Lin, C. Kovach, J. Wei and M. Lewis “Estimation of
Transmittance of Solar Radiation in the Visible Domain Based on Remote Sensing:
Evaluation of Models Using In Situ Data.” Journal of Geophysical
122 (11): 9176-9188. 10.1002/2017JC013209. (2017).

290. Zoogman, P., D. J.
Jacob, K. Chance, X. Liu, A. Fiore, M. Lin and K. Travis “Monitoring
high-ozone events in the US Intermountain West using TEMPO geostationary
satellite observations.” Atmos. Chem. Phys. 14: 6261-6271.

291. Zoogman, P., D. J.
Jacob, K. Chance, H. M. Worden, D. P. Edwards and L. Zhang “Improved
monitoring of surface ozone air quality by joint assimilation of geostationary
satellite observations of ozone and CO.” Atmos. Environ. 84:
254-261. (2014b).

292. Zoogman, P., D. J.
Jacob, K. Chance, L. Zhang, P. L. Sager, A. M. Fiore, A. Eldering, X. Liu, V.
Natraj and S. S. Kulawik “Ozone Air Quality Measurement Requirements for a
Geostationary Satellite Mission.” Atmos. Environ. 45:
7143-7150. (2011).

293. Zoogman, P., X. Liu,
K. Chance, Q. Sun, C. Schaaf, T. Mahr and T. Wagner “A climatology of
visible surface reflectance spectra.” J. Quant. Spectrosc. Radiat.
180: 39-46. doi:10.1016/j.jqsrt.2016.04.003. (2016).

294. Zoogman, P., X. Liu,
R. M. Suleiman and e. al. “Tropospheric Emissions: Monitoring of Pollution
(TEMPO).” J. Quant Spectrosc. Radiat. Transfer 186: 17-39.
doi:10.1016/j.jqsrt.2016.05.008. (2017).

June 20, 2022

ACTIVATE’s final flight deployment ended this past week with Research Flight 179 (Saturday June 18) transiting back from Bermuda to Virginia. A number of flights in the past week continued to build on the dataset for aerosol-cloud-meteorology interactions surrounding the Bermuda area, including on Tuesday June 14 a “process study flight” where the coordinated aircraft characterized a building cumulus cloud system. The Falcon conducted its traditional “wall” pattern used during process study flights with ~20 stacked legs going from below to above the cloud. Meanwhile the UC-12 flew overhead conducting remote sensing measurements of the same system while launching numerous dropsondes. A day earlier (June 13), the joint research flight conducted was synchronized with a CALIPSO overpass in conditions that are ideal for intercomparison of data including cloud-free air with significant aerosol concentrations and a diversity of aerosol types including in particular African dust. Now the ACTIVATE team focuses on processing and data archival of the 2022 flight deployments.

January 24, 2022

Four joint flights were conducted this past Tuesday and Wednesday (Jan 18-19) to capitalize on another cold air outbreak event, similar to the previous week. We observed significant temperature variations in the various vertical profiles conducted by the low-flying Falcon, with evidence of significant precipitation near the transition from overcast to open-cell cloud conditions. A significant decreasing gradient in cloud drop number concentrations was observed with distance offshore especially during the January 18 flights.

June 14, 2021

This past week included two double-flight days on Monday-Tuesday (June 7-8). June 7 was notable in that the second flight (RF 80) was a “process study” flight, which accounts for approximately 10% of ACTIVATE flights. We targeted an area with a cluster of clouds and conducted a total of 10 Falcon legs in cloud at different altitudes ranging from ~2 to ~13 kft. These legs and a subsequent downward spiral resulted in 10 cloud water samples for a single cloud system. Simultaneously, the King Air conducted a ‘wheel and spoke” pattern far above to allow the remote sensors to characterize the environment and cloud that the Falcon was directly sampling. A total of 14 dropsondes were launched by the King Air in the ~3 hr flight. This flight and the other “process study” flight in this summer campaign (RF77 on June 2) will provide a remarkable dataset to investigate aerosol-cloud-meteorology interactions with very detailed measurements for single evolving cloud systems.

March 15, 2021

ACTIVATE conducted four more successful joint flights (Research Flights 51-54) this past week. We characterized a variety of cloud conditions including post-frontal clouds associated with another cold air outbreak on Monday (March 8) in contrast to the following day (Tuesday March 9) where there was a sharp inversion with uniform cloud top heights and generally thin clouds. Flights this past week were marked by influence from local and regional burning emissions. The second of two flights on Friday (March 12) was coordinated with a CALIPSO overpass.

Febraury 5, 2021

ACTIVATE’s had its first joint flight of the winter 2021 campaign on February 3. We were successful to sample a transition from overcast stratocumulus clouds to broken cumulus clouds near our farthest southeast point of the flight track. There was extensive mixed-phase precipitation in areas closer to shore but pure liquid clouds farther offshore coinciding with the open cell cloud field. Although at low optical depth, an interesting aerosol layer was observed above 6 km that most likely was dust due to its depolarizing nature.

January 30, 2020

This past week ACTIVATE took to the skies again to begin our 2021 winter campaign. In contrast to last year, we started a bit earlier in the month of January to capitalize on a higher frequency of cold air outbreak events. Friday’s flights (January 29) were particularly ideal with both aircraft sampling along cloud streets aligned with the predominant wind direction coming from the north/northwest. We observed a transition from supercooled droplets to mixed phase precipitation with distance away from shore.

June 13, 2022

The past week coincided with a string of excellent weather conditions leading to eight joint flights between June 7-11 (RF166-173). There was evidence of African dust in the region that the aircraft sampled, in addition to coordinated efforts with glider platforms operated by the Bermuda Institute of Ocean Sciences to study the upper parts of the ocean surface that may affect the ACTIVATE measurements via sea-air interactive processes. Research flight 166 on 7 June was somewhat unique in that we sampled distinct cloud streets that we more commonly flew in during the winter season associated with cold air outbreaks. The ACTIVATE team also hosted a successful outreach event at the Longtail Aviation hangar featuring 40 students from three local grade schools.

June 6, 2022

On 31 May, the ACTIVATE team conducted a joint plane transit flight from Langley Research Center to Bermuda to base operations there until June 18. A series of flights (Research Flights 161-165) up through Sunday 5 June helped obtain statistics of atmospheric conditions around Bermuda. Many of the local Bermuda flights ended with a spiral sounding just offshore the Tudor Hill facility to obtain important vertical data for trace gases, aerosol, and weather parameters that will complement extensive surface monitoring work going on in coordination with the NSF-funded BLEACH project going on focused on halogen chemistry. Flights have already gathered important statistics associated with shallow “popcorn” cumulus cloud fields.

May 23, 2022

Four graduate students from the University of Arizona visited Langley Research Center to learn about and participate in the operational side of ACTIVATE. They took part in a very active flight week, with a total of eight joint flights deployed (Flights 153 - 160). Flights 156 and 157 on Wednesday, May 18th were special because these were the first flights to and from Bermuda that included a CALIPSO underflight. The CALIPSO track was clear of clouds and various aerosol layers such as smoke and dust were present. Another set of joint flights to and from Bermuda was conducted on Saturday, marking a successful end to the May flights. The next update will be in a couple weeks as the coming week will be used to prepare to fly out to Bermuda to base operations there from 1-18 June.

May 16, 2022

The previous week was marked by a persistent low pressure system positioned off the mid-Atlantic coast that impacted flight operations. Only one joint flight was conducted as a result on Tuesday (10 May; Research Flight 152), which featured strong northeasterly winds and warm air advection over the coastal cold waters created stratiform clouds near the surface. During parts of the flight there were several layers of decoupled stratiform cloud in the lower (free) troposphere.  There was evidence of strong sea salt influence on this day with a high volume of cloud water samples collected that will be helpful for continued characterization of the cloud chemistry in the study region. This week was marked by some visitors to Langley Research Center from the science team including Hailong Wang (PNNL) and Minnie Park (BNL), along with Simon Kirschler who is visiting from DLR in Germany.

May 09, 2022

ACTIVATE’s sixth and final deployment began this past week with three successful joint flights (Flights 149-151). In contrast to the winter deployment, aerosol optical depths increased this past week with dust and smoke signatures, with the latter possibly stemming from plumes advected from the western United States. These data will be helpful to learn more about the impacts of these aerosol types on clouds even if they reside above cloud tops. On Thursday (5 May 2022) we conducted a successful refueling trip to Providence, Rhode Island marked by extensive cloud characterization and upwards of 20 cloud water samples helpful for cloud composition studies.

March 30, 2022

We wrapped up Deployment 5 on Tuesday after finishing a couple joint flights (Research Flights 146-148). Monday’s flight was intriguing owing to the diversity of aerosol types sampled ranging from the usual marine aerosol types such as sea salt to also smoke, dust, and pollen. Tuesday’s flights were excellent for cold air outbreak characterization including upwind clear air sampling and then also the transition from overcast cloud conditions to an open cloud field. We will begin Deployment 6 in the first week of May and conduct flights through the end of June.

March 28, 2022

After considerable effort and patience due to pandemic-related barriers, ACTIVATE was able to successfully execute its first flight to Bermuda this past week. Research flights 142-143 on Tuesday March 22nd involved out-and-back flights from Hampton, Virginia to Bermuda. Flights to Bermuda are important for a number of reasons including the ability to extend the spatial range of data off the U.S. East Coast to be farther removed from continental and Gulf Stream influence and closer to more “background marine” conditions. Flights 144-145 on Saturday March 26th were special in that a wide range of aerosol types were sampled including dust, smoke, sea salt, and biological particles especially in the form of pollen near the coast.

March 21, 2022

ACTIVATE had a golden flight day on 13 March 2022 (Sunday) with a cold air outbreak and two joint flights in morning and afternoon. In the morning flight we sampled an overcast cloud field that began to transition into a more broken field. We conducted 3 “walls” with the low flyer (Falcon) involving level legs below and in cloud stacked vertically on top of each other for better vertical characterization of the ‘aerosol-cloud system’. We launched 11 dropsondes with the high flyer (King Air). Data suggest significant new particle formation above cloud tops offshore during the cold air outbreak event. The two flights that day provide excellent data for model intercomparison to understand boundary layer cloud evolution. Later in the week (Monday March 14) was marked by smoke conditions offshore that the Falcon was able to characterize with its suite of instruments. Two graduate students and a research scientist from the University of Arizona visited NASA Langley Research Center this past week to learn about and participate in the operational side of ACTIVATE.

March 14, 2022

This week was dominated by a stalled cold front over the ACTIVATE flight domain, which prevented the team from executing flights most of the week owing to complex conditions that would affect data quality (e.g., mid and high level clouds impacting remote sensors on the King Air) and sampling of well-defined boundary layer clouds. We were successful though with flights at the beginning of the week (Research flights 135-136) on Monday March 7th, including both clear air and cloud characterization to the southern part of our usual sampling domain. The following week appears to be very promising with cold air outbreak conditions setting up as soon as this Sunday March 13th.

March 7, 2022

The past week of ACTIVATE flights (research flights 130-134) including more clear air characterization than past weeks, with both dust and smoke influence over the northwest Atlantic. Two of the flights consisted of a vertical spiral sounding in cloud-free and polluted conditions with the HU-25 Falcon with the King Air flying overhead, which will be helpful for a number of types of analyses, including intercomparison between aerosol remote sensing products from the HSRL-2/RSP (on the King Air) and in situ aerosol observations from the Falcon. The two flights on Friday March 4th in particular were excellent as there was high cloud fraction across most of our sampling region which afforded a chance to sample clouds impacted by potential dust and smoke plumes.

March 1, 2022

After standing down for a week to swap the B200 with the UC-12 King Air, flights resumed this past week (research flights 120-125) with three days of double-flights (Feb. 15, 16, 19). The statistical database representative of typical wintertime conditions continued to expand with these flights that all included cloud sampling and similar characteristics as recent weeks. For instance, gradients of decreasing cloud drop concentration with distance east of the shore continued to be observed, along with both warm and mixed-phase precipitation, and situations where cumulus clouds connected to overlying stratiform clouds.

February 22, 2022

After standing down for a week to swap the B200 with the UC-12 King Air, flights resumed this past week (research flights 120-125) with three days of double-flights (Feb. 15, 16, 19). The statistical database representative of typical wintertime conditions continued to expand with these flights that all included cloud sampling and similar characteristics as recent weeks. For instance, gradients of decreasing cloud drop concentration with distance east of the shore continued to be observed, along with both warm and mixed-phase precipitation, and situations where cumulus clouds connected to overlying stratiform clouds.

February 7, 2022

Research flights 115-119 in the past week continued the extensive characterization of the northwest Atlantic in during typical wintertime conditions. Notable features this week included gradients offshore such as how in flight 115 (Tuesday, Feb 1) clouds were initially scattered by the coast and then rapidly started to deepen and fill in forming an overcast deck on the outbound leg. Towards the northeast part of the flight path, clouds took on a distinctly decoupled appearance with cumulus clouds feeding an upper stratiform deck. Aerosol gradients were evident too with regard to number concentration and composition. These distinct differences in the study region on individual flights present a critical opportunity for data analysis to better understand the aerosol-cloud-meteorology system.

January 31, 2022

Six joint flights were conducted this past week, including three double-flight days between January 24 and 27. The two flights on January 24th included more sampling towards the southern part of our operation domain to get more diversity in conditions with regard to weather and aerosol conditions. The two flights on Thursday (Jan 27) included a refueling stop at Providence, Rhode Island to allow us to extend our spatial range of sampling. That day included complex cloud structure with wave characteristics (i.e., variable base and top heights) and decoupling of cloud layers. There was an abundance of ice nuclei during the two flights on this day.

January 18, 2022

ACTIVATE returned with flights this past week by executing Research Flights 100-104, including consecutive double-flight days on Tuesday and Wednesday (January 11-12, 2022). The two flights on January 11th were used to sampled upwind and into a region of clouds during a cold air outbreak event; the second flight was used to keep tracking the evolution of the cold air outbreak farther downwind to the southeast of where the first flight left off. Intriguing features were observed on the two flights on Tuesday including steam fog, funnel clouds, and waterspouts. Both warm and mixed-phase precipitation were observed, along with new particle formation above cloud tops.

December 13, 2021

Four joint flights were conducted this past week in ACTIVATE’s final week of science flights for December before resuming flights in January 2022. Notable was the back-to-back flight day on Thursday (9 Dec 2021) when the two aircraft flew north for a refueling stop at Quonset State Airport (Rhode Island). This marks the first refueling stop at a secondary base in the ACTIVATE project. Extending our typical spatial range was helpful for a more extensive characterization of the complex cloud scene  including solid and broken boundary layer cloud structure with distinctly different cloud types including both warm and mixed-phase precipitation. ACTIVATE measurements during these two flights will be very helpful to understand gradients in the aerosol-cloud system during the transitions between cloud types (e.g., stratocumulus, fair weather cumulus) and the solid versus broken cloud fields.

The ACTIVATE team hosted an open data workshop with 70+ participants over two days on October 20-21, 2021. Discussion centered around how to access and use the data, in addition to walking through two detailed case study flights. Participants from the international audience presented some slides of their own to stimulate ideas and brainstorming around research into aerosol-cloud-meteorology interactions. Material from the workshop, including recordings of the two days can be found at:

December 6, 2021

The 5th ACTIVATE deployment started this past week with two joint flights having similar headings going southeast from the base of operations at NASA Langley Research Center. These flights allowed for unique sampling of trace gases, aerosols, and marine boundary layer clouds in the month of December, which has yet to be done during ACTIVATE’s first 93 flights leading up to these two flights. More flights are planned in the coming week before a break and then resumption of flights in January.

July 1, 2021

We finished our summer campaign this past week with four more ACTIVATE flights (Research Flights 90-93) between June 28 and 30. These flights focused on extensive data collection in typical summertime shallow cumulus clouds. A notable feature in these flights was sampling behind ship vessels near the coast that yielded especially large enhancements in particle concentration parameters.

June 28, 2021

Four flights were conducted last week, with two single flight days on June 22 and 24, and a double flight day on June 26. Saturday’s conditions (June 26) were in particular very good for ACTIVATE with a scattered shallow cumulus cloud scene throughout the day that both planes were able to jointly characterize. The past week also was linked to high variability in aerosol conditions with the northward advancement of African dust into our study region.

June 21, 2021

This past week included three single-flight days on Tuesday-Thursday (June 15-17). The first flight of this week (June 15) was a statistical cloud survey but proved to be a challenging flight to execute as the King Air encountered pervasive cirrus along the track and the Falcon dealt with low clouds at varying altitude ranges. The June 16 flight targeted mostly clear skies with observations of moderate aerosol loading. This flight also included an overflight of Langley Research Center at the end to intercompare with the AERONET site and the High Altitude Lidar Observatory (HALO) HSRL/water vapor lidar that was conducting upward looking ground tests. The last flight of the week (June 17) included a coordinated run along the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite overpass and then two reverse headings to capture in cloud data in vicinity of the ASTER overpass for additional contextual data. The flights on June 16-17 both saw non-spherical particles near the coast and drizzle over the ocean was observed on June 17.

June 7, 2021

Four successful joint flights occurred last week. The double flight day on Wednesday June 2 was particularly noteworthy. Our morning flight conducted our typical statistical survey flight plan to an area south of the Virginia coast where there was a cumulus cloud field, with some regions evolving into deeper, more organized, convection. Based on that flight and satellite imagery, we set up the second flight to execute a “process study” pattern where the Falcon conducted a series of transects through a selected cloud cluster to characterize the vertical microphysical properties of the developing cluster immediately followed by an environmental profile in the surrounding cloud-free region. Simultaneously, the King Air conducted a “wheel and spoke” pattern centered around the cloud system, with multiple dropsondes launched above, and on the periphery of the cloud cluster alongside remote sensing transects to characterize the cloud and aerosol system underneath. Data from both planes will be used to characterize the range of cloud types observed on that day, with a focus on understanding the processes that drive shallow cumulus organization.

June 1, 2021

The last two weeks were busy with 9 joint flights, including three separate double-sortie days. The May 21 morning flight in particular was intriguing with a mixture of different conditions offshore with the two aircraft flying mostly straight to the east and then returning on the same track to NASA LaRC. Closer to shore, the aircraft observed a stratus deck with a prominent aerosol layer just above cloud as observed by the HSRL-2. These clouds then transitioned progressively into a more scattered cumulus cloud field to the east. At the far eastern end of the track there was a cold pool that we sampled within and just outside. Throughout this and the other flights this past week, there was evidence both either (or both) smoke and dust in the free troposphere. Measurement data will help unravel how these various aerosol types interact with the different types of clouds such as in the May 21 flights. On May 19, we also coordinated the flight along the CALIPSO satellite track where both aircraft and the satellite had successful made measurements.

May 17, 2021

After a short break after the Winter 2021 campaign, ACTIVATE took back to the skies this past week to start the Summer 2021 campaign. We conducted 4 successful joint flights between May 13-15 with interesting cloud conditions in each flight. The lower-flying Falcon characterized multiple layers of clouds and observed both warm and mixed-phase precipitation. Remote sensing observations on the higher-flying King Air detected aerosol layers aloft in the free troposphere potentially from dust and smoke on separate flights.

April 5, 2021

ACTIVATE wrapped up its winter 2021 flight campaign with five joint research flights this past week (RF 57-61) capped off by a double-flight day on Friday (4/2) to capitalize on another cold air outbreak event. Those two flights included an increased number of dropsondes (~10 per flight) to get extensive temporal and spatial characterization of the vertical atmospheric structure as the cold air outbreak cloud field evolved during the day. Notable in the other flights last week was successful coordination with ASTER and CALIPSO overpasses in our flight region.

March 29, 2021

We executed a joint flight (RF 56) on Tuesday March 23rd on a day marked by fairly ‘clean’ conditions in terms of very low aerosol and cloud drop number concentrations in the marine boundary layer. Cloud fraction on this day was markedly lower than a typical cold air outbreak type of day, which is helpful for ACTIVATE which is aiming to generate statistics in a wide range of conditions associated with aerosols, clouds, and meteorology.

March 22, 2021

The previous week posed significant weather challenges but Saturday (March 20, 2020) did finally provide low clouds evolving in a cold air outbreak. Interesting features in that joint flight (Research Flight 55) were Asian dust residing aloft above the boundary layer clouds, in addition to an interesting layer of depolarizing aerosol right above clouds near the end of flight as observed by the HSRL-2; it is unclear what the source of that layer was, but data analysis with the Falcon data will help unravel those details.

March 8, 2021

ACTIVATE executed three successful joint flights (Research Flights 48-50) this past week. On Thursday March 4th we coordinated our flight with a NASA A-Train overpass over an area with some scattered marine boundary layer clouds. The back-to-back flights on Friday March 5th served two objectives to capitalize on an excellent cold air outbreak event: (i) characterize the aerosol and meteorological characteristics upwind of the cloud field farther downwind; and (ii) characterize the evolution of the cloud field with the desire to capture the transition from overcast cloudy conditions to open cell structure. Noteworthy features in these flights were dust layers from long-range transport and significant new particle formation.