Top-of-the-atmosphere reflected shortwave radiative fluxes from GOES-R
Under the GOES-R activity, new algorithms are being developed at the National Oceanic and Atmospheric Administration (NOAA)/Center for Satellite Applications and Research (STAR) to derive surface and top-of-the-atmosphere (TOA) shortwave (SW) radiative fluxes from the Advanced Baseline Imager (ABI),...
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Veröffentlicht in: | Atmospheric measurement techniques 2022-09, Vol.15 (17), p.5077-5094 |
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Zusammenfassung: | Under the GOES-R activity, new algorithms are being
developed at the National Oceanic and Atmospheric Administration
(NOAA)/Center for Satellite Applications and Research (STAR) to derive
surface and top-of-the-atmosphere (TOA) shortwave (SW) radiative fluxes from
the Advanced Baseline Imager (ABI), the primary instrument on GOES-R. This
paper describes a support effort in the development and evaluation of the
ABI instrument capabilities to derive such fluxes. Specifically, scene-dependent narrow-to-broadband (NTB) transformations are developed to
facilitate the use of observations from ABI at the TOA. Simulations of NTB
transformations have been performed with MODTRAN 4.3 using an updated
selection of atmospheric profiles and implemented with the final ABI
specifications. These are combined with angular distribution models (ADMs),
which are a synergy of ADMs from the Clouds and the Earth's Radiant Energy
System (CERES) and from simulations. Surface conditions at the scale of the
ABI products as needed to compute the TOA radiative fluxes come from the
International Geosphere–Biosphere Programme (IGBP). Land classifications at
1/6∘ resolution for 18 surface types are converted to the ABI 2 km
grid over the contiguous United States (CONUS) and
subsequently re-grouped to 12 IGBP types to match the classification of the
CERES ADMs. In the simulations, default information on aerosols and clouds
is based on that used in MODTRAN. Comparison of derived fluxes at the
TOA is made with those from CERES, and the level of agreement for both clear
and cloudy conditions is documented. Possible reasons for differences are
discussed. The product is archived and can be downloaded from the NOAA
Comprehensive Large Array-data Stewardship System (CLASS). |
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ISSN: | 1867-8548 1867-1381 1867-8548 |
DOI: | 10.5194/amt-15-5077-2022 |