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Comparison of TOA and BOA LW Radiation Fluxes Inferred From Ground‐Based Sensors, A‐Train Satellite Observations and ERA Reanalyzes at the High Arctic Station Eureka Over the 2002–2020 Period

Authors :
Jacques Pelon
Christopher J. Cox
Edwin W. Eloranta
Julien Delanoë
Yann Blanchard
Taniel Uttal
Centre ESCER
Université du Québec à Montréal = University of Québec in Montréal (UQAM)
TROPO - LATMOS
Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS)
Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)
Cooperative Institute for Research in Environmental Sciences (CIRES)
University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA)
National Oceanic and Atmospheric Administration (NOAA)
SPACE - LATMOS
Space Science and Engineering Center [Madison] (SSEC)
University of Wisconsin-Madison
Source :
Journal of Geophysical Research: Atmospheres, Journal of Geophysical Research: Atmospheres, American Geophysical Union, 2021, 126 (11), pp.e2020JD033615. ⟨10.1029/2020JD033615⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

International audience; This study focuses on the accuracy of longwave radiation flux retrievals at the top and bottom of the atmosphere at Eureka station, Canada, in the high Arctic. We report comparisons between seven products derived from (a) calculations based on a combination of ground-based and space-based lidar and radar observations, (b) standard radiometric observations from the CERES sensor, (c) direct observations at the surface from a broadband radiation station, and (d) the ERA-Interim and ERA5 reanalyzes. Statistical, independent analyses are first performed to look at recurring bias and trends in fluxes at Top and Bottom of the Atmosphere (TOA, BOA). The analysis is further refined by comparing fluxes derived from coincident observations decomposed by scene types. Results show that radiative transfer calculations using ground-based lidar-radar profiles derived at Eureka agree well with TOA LW fluxes observed by CERES and with BOA LW fluxes reference. CloudSat-CALIPSO also shows good agreement with calculations from ground-based sensor observations, with a relatively small bias. This bias is shown to be largely due to low and thick cloud occurrences that the satellites are insensitive to owing to attenuation from clouds above and surface clutter. These conditions of opaque low clouds, cause an even more pronounced bias for CERES BOA flux calculation in winter, due to the deficit of low clouds identified by MODIS. ERA-I and ERA5 fluxes behave differently, the large positive bias observed with ERA-I is much reduced in ERA5. ERA5 is closer to reference observations due to better behavior of low and mid-level clouds and surface temperature.

Details

Language :
English
ISSN :
2169897X and 21698996
Database :
OpenAIRE
Journal :
Journal of Geophysical Research: Atmospheres, Journal of Geophysical Research: Atmospheres, American Geophysical Union, 2021, 126 (11), pp.e2020JD033615. ⟨10.1029/2020JD033615⟩
Accession number :
edsair.doi.dedup.....ae631f3756151cb3297a5962481354ac
Full Text :
https://doi.org/10.1029/2020JD033615⟩