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Wenying Su (NASA)

Title: Senior Research Scientist
Technical Focus Area: Climate Science
Study Topics: Earth’s radiation budget, aerosol radiative effect
Mission/Project: CERES


Dr. Wenying Su is a senior scientist at the NASA Langley Research Center in Hampton, Virginia, USA. Her research interests include Earth radiation budget, climate variability, aerosol radiative forcing, and aerosol-cloud interactions. Dr. Su is the angular distribution model working group chair for the Clouds and the Earth’s Radiant Energy System (CERES) project, and she is also a member of the Deep Space Climate Observatory (DSCOVR) science team. Dr. Su is proficient in FORTRAN and MATLAB. She has published over 50 peer-reviewed publications and was awarded the NASA exceptional achievement medal in 2016. Dr. Su has been a member of the joint Committee on Earth Observation Satellites/ Coordination Group for Meteorological Satellite (CEOS/CGSM) Working Group on Climate (WGClimate) representing NASA since 2016. She serves as one of NASA’s point of contact to register the agency’s climate data records in the CEOS Essential Climate Variable Inventory. Under her leadership, NASA contributed about 40% of the climate data records in the Inventory. She contributed to the WGClimate Gap Analysis Report and the Coordinated Action Plan. She also contributed to the Space Agency Response to Global Climate Observing System (GCOS) Implementation Plan in 2017. Dr. Su is currently co-leading the WGClimate Use Case initiative with colleagues from WMO. The main objectives of the Use Case are to demonstrate the value of Earth observation for societal benefit and decision making and to illustrate the importance of satellite observations for climate monitoring and climate service. Dr. Su is a member of the newly established Group on Earth Observations (GEO) climate change working group as a CEOS representative, coordinating the CEOS contributions to the GEO engagement with the United Nation Framework Convention on Climate Change (UNFCCC) and the IPCC, and enhancing the use of Earth observations for mitigation.


  • Wenying Su, L. Liang, H. Wang, Z. A. Eitzen, Uncertainties in CERES Top-of-Atmosphere Fluxes Caused by Changes in Accompanying Imager, 12(2040),, Remote Sens., 2020.
  • Wenying Su, P. Minnis, L. Liang, D. P. Duda, K. V. Khlopenkov, M. Thieman, Y. Yu, A. Smith, S. Lorentz, D. Feldman, F. P. J. Valero, Determining the daytime Earth radiative flux from National Institute of Standards and Technology Advanced Radiometer (NISTAR) Measurements, 13, 429-443, Atmos. Meas. Tech.,, 2020.
  • Wenying Su, L. Liang, D. R. Doelling, P. Minnis, D. P. Duda, K. V. Khlopenkov, M. Thieman, N. G. Loeb, S. Kato, F. P. J. Valero, H. Wang, and F. G. Rose. Determining the shortwave radiative flux from Earth Polychromatic Imaging Camera. J. Geophys. Res., 123,, 2018.
  • Wenying Su, Lusheng Liang, Walter Miller, and Victor Sothcott, The effects of different footprint sizes and cloud algorithms on the top-of-atmosphere radiative flux calculation from CERES instrument on Suomi-NPP, Atmos. Meas. Tech., 10, 4001-4011,, 2017.
  • Wenying Su, Norman Loeb, Lusheng Liang, Nana Liu, Chuntao Liu, The El Nino-Southern Oscillation Effect on Tropical Outgoing Longwave Radiation: A Daytime Versus Nighttime Perspective, JGR, 122, 2017,
  • Wenying Su, Joseph Corbett, Zachary Eitzen, Lusheng Liang, Next-Generation Angular Distribution Models for Top-of-Atmosphere Radiative Flux Calculation from the CERES Instruments: Validation, Atmos. Meas. Tech. Disscuss., 8,, 4489-4536, 2015.
  • Wenying Su, Joseph Corbett, Zachary Eitzen, Lusheng Liang, Next-Generation Angular Distribution Models for Top-of-Atmosphere Radiative Flux Calculation from the CERES Instruments: Methodology, Atmos. Meas. Tech., 8,, 611-632, 2015.
  • Wenying Su, Norman G. Loeb, Gregory L. Schuster, Mian Chin, Fred Rose, Global all-sky shortwave direct radiative forcing of anthropogenic aerosols from combined satellite observations and GOCART simulations, J. Geophys. Res., 118,, 2013.
  • Wenying Su, Norman Loeb, Kuan-Man Xu, Gregory Schuster, Zachary Eitzen, An estimate of aerosol indirect effect from satellite measurements with concurrent meteorological analysis, J. Geophys. Res., 115, D18219,, 2010.
  • Wenying Su, Alejandro Bodas-Salcedo, Kuan-Man Xu, Thosmas Charlock, Comparison of the tropical radiative flux and cloud radiative effect profiles in a climate model with the Clouds and the Earth’s Radiant Energy System (CERES) data, J. Geophys. Res., 115, D01105,, 2010.
  • Wenying Su, Greg Schuster, Norman Loeb, Raymond Rogers, Richard Ferrare, Chris Hostetler, Johnathan Hair, Michael Obland, Aerosol and cloud interaction observed from High Spectral Resolution Lidar data, J. Geophys. Res., 113, D24202,, 2008.
  • Wenying Su, Ellsworth Dutton, Thomas Charlock, and Warren Wiscombe, Performance of commercial radiometers in very low temperature and pressure environments typical of polar regions and of the stratosphere: A laboratory study, J. Atmos. Oceanic Technol., 25(4), 558-569,, 2008.


  • NASA Exceptional Achievement Award

National/International Leadership:

  • Member of the joint Committee on Earth Observation Satellites/Coordination Group for Meteorological Satellites (CEOS/CGSM) Working Group on Climate (WGClimate)
  • CEOS representative for the Group on Earth Observations (GEO) Climate Change Working Group

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SD Profiles Contact
  • CAPABLE/CRAVE Full Site Photo from left to right site enclosures: 1196A NASA LaRC, MPLnet, Virginia DEQ
    CAPABLE/CRAVE Full Site Photo from left to right site enclosures: 1196A NASA LaRC, MPLnet, Virginia DEQ

  • NASA LaRC NAST-I and HU ASSIST side-by-side for intercomparison
    NASA LaRC NAST-I and HU ASSIST side-by-side for intercomparison

  • Virginia DEQ, NASA and Penn State-NATIVE Enclosures (from right to left)
    Virginia DEQ, NASA and Penn State-NATIVE Enclosures (from right to left)

  • Ozone-sonde away.
    Ozone-sonde away.
  • About to lift.
    About to lift.
PurpleAir PA-II-SD Air Quality Sensor
Laser Particle Counters
Type (2) PMS5003
Range of measurement 0.3, 0.5, 1.0, 2.5, 5.0, & 10 μm
Counting efficiency 50% at 0.3μm & 98% at ≥0.5μm
Effective range
(PM2.5 standard)*
0 to 500 μg/m³
Maximum range (PM2.5 standard)* ≥1000 μg/m³
Maximum consistency error (PM2.5 standard) ±10% at 100 to 500μg/m³ & ±10μg/m³ at 0 to 100μg/m³
Standard Volume 0.1 Litre
Single response time ≤1 second
Total response time ≤10 seconds
Pressure, Temperature, & Humidity Sensor
Type BME280
Temperature range -40°F to 185°F (-40°C to 85°C)
Pressure range 300 to 1100 hPa
Humidity Response time (τ63%): 1 s
Accuracy tolerance: ±3% RH
Hysteresis: ≤2% RH

Pandora capabilities










Total Column O3, NO2, HCHO, SO2, H2O, BrO

0.01 DU

0.1 DU



Virginia Department of Environment Quality in-situ instrumentation






Thermo Scientific 42C (Molybdenum converter)

60 s

NO and NOx

50 pptv


Teledyne API 200EU w/ photolytic converter
(EPA) PI-Szykman

20 s


50 pptv


Thermo Scientific 49C (VADEQ)

20 s


1 ppbv


Thermo Scientific 48i (VADEQ)

60 s


40 ppbv


Thermo Scientific 43i (VADEQ)

80 s


0.2 ppbv


Thermo Scientific 1400AB TEOM (VADEQ)

600 s

PM2.5 (continuous)


1 3%

Thermo Scientific Partisol Plus 2025 (VADEQ)

24 hr

PM2.5 (filter-based FRM)- 1/3 days



Large area view.
Latitude: 37.1038
Longitude: -76.3872
Elevation: 3 m Above sea level
Scenes: urban, marsh, bay, river and farm.


  • The inner red circle is a 20km CERES foot print centered on the BSRN-LRC site.
  • The pink circle represents a possible tangential 20km foot print.
  • The middle red circle represents the area in which a 20km foot print could fall and still see the site.
  • Yellow is a sample 40 deg off nadir foot print.
  • The outer red circle is the region which would be seen by a possible 40 deg off nadir foot print.
The BSRN-LRC sun tracker at the NASA Langley Research Center on a snowy day (02/20/2015) The BSRN-LRC sun tracker at the NASA Langley Research Center on a snowy day (02/20/2015)
CAPABLE-BSRN Google Site Location Image

Team Satellite Sensor G/L Dates Number of obs Phase angle range (°)
CMA FY-3C MERSI LEO 2013-2014 9 [43 57]
CMA FY-2D VISSR GEO 2007-2014
CMA FY-2E VISSR GEO 2010-2014
CMA FY-2F VISSR GEO 2012-2014
JMA MTSAT-2 IMAGER GEO 2010-2013 62 [-138,147]
JMA GMS5 VISSR GEO 1995-2003 50 [-94,96]
JMA Himawari-8 AHI GEO 2014- -
EUMETSAT MSG1 SEVIRI GEO 2003-2014 380/43 [-150,152]
EUMETSAT MSG2 SEVIRI GEO 2006-2014 312/54 [-147,150]
EUMETSAT MSG3 SEVIRI GEO 2013-2014 45/7 [-144,143]
EUMETSAT MET7 MVIRI GEO 1998-2014 128 [-147,144]
CNES Pleiades-1A PHR LEO 2012 10 [+/-40]
CNES Pleiades-1B PHR LEO 2013-2014 10 [+/-40]
NASA-MODIS Terra MODIS LEO 2000-2014 136 [54,56]
NASA-MODIS Aqua MODIS LEO 2002-2014 117 [-54,-56]
NASA-VIIRS NPP VIIRS LEO 2012-2014 20 [50,52]
NASA-OBPG SeaStar SeaWiFS LEO 1997-2010 204 (<10, [27-66])
NASA/USGS Landsat-8 OLI LEO 2013-2014 3 [-7]
NOAA-STAR NPP VIIRS LEO 2011-2014 19 [-52,-50]
NOAA GOES-10 IMAGER GEO 1998-2006 33 [-66, 81]
NOAA GOES-11 IMAGER GEO 2006-2007 10 [-62, 57]
NOAA GOES-12 IMAGER GEO 2003-2010 49 [-83, 66]
NOAA GOES-15 IMAGER GEO 2012-2013 28 [-52, 69]
VITO Proba-V VGT-P LEO 2013-2014 25 [-7]
KMA COMS MI GEO 2010-2014 60
AIST Terra ASTER LEO 1999-2014 1 -27.7
ISRO OceanSat2 OCM-2 LEO 2009-2014 2

The NASA Prediction Of Worldwide Energy Resources (POWER) Project improves the accessibility and usage NASA Earth Observations (EO) supporting community research in three focus areas: 1) renewable energy development, 2) building energy efficiency, and 3) agroclimatology applications. The latest POWER version enhances its distribution systems to provide the latest NASA EO source data, be more resilient, support users more effectively, and provide data more efficiently. The update will include hourly-based source Analysis Ready Data (ARD), in addition to enhanced daily, monthly, annual, and climatology ARD. The daily time-series now spans 40 years for meteorology available from 1981 and solar-based parameters start in 1984. The hourly source data are from Clouds and the Earth's Radiant Energy System (CERES) and Global Modeling and Assimilation Office (GMAO), spanning 20 years from 2001.

The newly available hourly data will provide users the ARD needed to model the energy performance of building systems, providing information directly amenable to decision support tools introducing the industry standard EPW (EnergyPlus Weather file). One of POWER’s partners, Natural Resource Canada’s RETScreen™, will be simultaneously releasing a new version of its software, which will have integrated POWER hourly and daily ARD products. For our agroclimatology users, the ICASA (International Consortium for Agricultural Systems Applications standards) format for the crop modelers has been modernized.

POWER is releasing new user-defined analytic capabilities, including custom climatologies and climatological-based reports for parameter anomalies, ASHRAE® compatible climate design condition statistics, and building climate zones. The ARD and climate analytics will be readily accessible through POWER's integrated services suite, including the Data Access Viewer (DAV). The DAV has been improved to incorporate updated parameter groupings, new analytical capabilities, and the new data formats. Updated methodology documentation and usage tutorials, as well as application developer specific pages, allow users to access to POWER Data efficiently.

+Visit the POWER Program Site to Learn More.