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Patrick Taylor (NASA)

Title: Climate Research Scientist
Technical Focus Area: Climate Science
Mission/Project: CERES
Study Topics: Arctic climate change, cloud-sea ice interaction


Dr. Patrick Taylor has extensive experience using both observations and climate models to study the Earth system. Dr. Taylor’s career research goal is to better understand Earth’s Energy Budget and Water Cycle, providing improved climate model projections for societal benefit with a focus on the Arctic. Dr. Taylor’s research focuses on understanding cloud, radiation, and precipitation variability and their interactions using satellite remote sensing of clouds and Earth’s radiation budget. A common thread through Dr. Taylor’s research is the focus on understanding the cloud response to other Earth System processes. Dr. Taylor’s current research and collaborations investigate (1) the interactions between Arctic sea ice and clouds, (2) the teleconnections between Arctic climate variability, the surface energy budget and sea ice, and (3) the role of sea ice and surface turbulent fluxes in controlling Arctic amplification. In the first 10 years of his career, Dr. Taylor has authored 60 total publications and 47 peer-reviewed publications (Google Scholar H-Index of 18 and 1193 total citations) primarily on the behavior of clouds in tropical and polar regions and their radiative effects on time scales ranging from the diurnal cycle to climate change. Dr. Taylor’s research accomplishments have culminated in several recognitions including the 2012 Presidential Early Career Award for Scientists and Engineers, an award only 102 people receive each year. In 2015, Dr. Taylor was recognized as a Kavli Frontiers of Science Fellow. Dr. Taylor also received the 2013 NASA Early Career Award. Dr. Taylor was appointed by Governor McAuliffe in 2014 to the Virginia Climate Change and Resiliency Update Commission. In 2017, Dr. Taylor also served as a lead author on the USGCRP Climate Science Special Report, Fourth National Climate Assessment Vol. I.

Publication Bibliography:

Select Publications/Reports:

  • Taylor, P. C., 2018: Local processes with a global reach. Nature Climate Change, doi: 10.1038/s41558-018-0342-3.
  • Cohen, J., Zhang, X., Francis, J. and coauthors (including P. C. Taylor), 2020: Divergent consensuses on Arctic amplification influence on midlatitude severe winter weather. Nat. Clim. Chang. 10, 20–29, doi:10.1038/s41558-019-0662-y.
  • Duncan, B. N., and coauthors (including P.C. Taylor), 2020: Space‐based observations for understanding changes in the arctic‐boreal zone. Reviews of Geophysics, 58, e2019RG000652.
  • Yu, Y., Taylor, P. C., and Cai, M. (2019). Seasonal variations of arctic low‐level clouds and its linkage to sea ice seasonal variations. J. Geophys. Res.: Atmos, 124, 12206– 12226.
  • Taylor, P. C., R. C. Boeke, Y. Li, and D. W. J. Thompson, 2019: Arctic cloud annual cycle biases in climate models. Atmos. Chem. Phys. 18, 8759-8782, doi: 10.5194/acp-19-8759-2019.
  • Taylor, P. C., 2018: Local processes with a global reach. Nature Climate Change, doi: 10.1038/s41558-018-0342-3.
  • Boeke, R. C. and P. C. Taylor, 2018: Seasonal energy exchange in sea ice retreat regions contributes to differences in projected Arctic warming. Nature Comm., 9, 5017, doi: 10.1038/s41467-018-07061-9.
  • Taylor, P. C., and coauthors, 2018: On the increasing importance of air-sea exchange in a thawing Arctic: A review. Atmosphere, 9(2):41, doi:10.3390/atmos9020041.
  • Hegyi, B. M., P. C. Taylor, 2018: The unprecedented 2016-17 Arctic sea ice growth season: The crucial role of atmospheric rivers and longwave fluxes. Geophys. Res. Lett., 45, 5204–5212.
  • Taylor, P. C., W. Maslowski J. Perlwitz, and D. J. Wuebbles, 2017: Arctic Changes and their Effects on Alaska and the Rest of the United States. In: Climate Science Special Report: Fourth National Climate Assessment, Volume I. U.S. Global Climate Change Research Program, Washington, DC, USA, pp. 303-332, doi: 10.7930/J00863GK.
  • Taylor, P. C., S. Kato, K.-M. Xu, and M. Cai, 2015: Covariance between Arctic sea ice and clouds within atmospheric state regimes at the satellite footprint level. J. Geophys. Res. Atmos., 120, 12656-12678, doi:10.1002/2015JD023520.

Virtual Presentation:


  • Presidential Early Career Award for Scientists and Engineers (PECASE), 2012
  • National Academy of Sciences, Kavli Fellow, 2015
  • NASA Agency Early Career Medal, 2013

National/International Leadership:

  • Co-Chair of the US CLIVAR Process Studies and Model Improvements Panel
  • Co-Chair for the 2021 Gordon Research Conference on Radiation and Climate
  • U.S. Gov’t Expert Review Panelist and Chapter lead for IPCC SROCC and AR6 reports

Professional Memberships:

  • AGU
  • AMS

Education/Professional Experience:

  • Ph. D. Meteorology, Florida State University, 2009 (Prof. Robert G. Ellingson, advisor)
  • M. S. Meteorology, Florida State University, 2006 (Prof. Robert G. Ellingson, advisor).
  • B. S. Earth Science, California University of PA, 2004
  • Research Scientist, NASA Langley Research Center 11/09-Present


I enjoy spending time with family, playing sports, and working out. I am also an avid homebrewer, ranked BCJP judge, and a member of the CASK local homebrew club.

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SD Profiles Contact
  • 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.