Top-of-the-atmosphere reflected shortwave radiative fluxes from GOES-R
-
Published:2022-09-06
Issue:17
Volume:15
Page:5077-5094
-
ISSN:1867-8548
-
Container-title:Atmospheric Measurement Techniques
-
language:en
-
Short-container-title:Atmos. Meas. Tech.
Author:
Pinker Rachel T.ORCID, Ma Yingtao, Chen Wen, Laszlo Istvan, Liu Hongqing, Kim Hye-Yun, Daniels Jaime
Abstract
Abstract. 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).
Funder
National Oceanic and Atmospheric Administration
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference39 articles.
1. Akkermans, T. and Clerbaux, N.: Narrowband-to-Broadband Conversions for
Top-of-Atmosphere Reflectance from the Advanced Very High-Resolution
Radiometer (AVHRR), Remote Sens., 12, 305, https://doi.org/10.3390/rs12020305, 2020. 2. Baldridge, A. M., Hook, S. J., Grove, C. I., and Rivera, G.: The ASTER spectral library version 2, Remote Sens. Environ., 113, 711–715, https://doi.org/10.1016/j.rse.2008.11.007, 2009. 3. Berk, A., Bernstein, L. W., and Robertson, D. C.: MODTRAN: A moderate
resolution model for LOWTRAN 7, Philips Laboratory, Report AFGL-TR-83-0187,
Hanscom AFB, MA, 1985. 4. Berk, A., Anderson, G. P., Acharya, P. K., Robertson, D. C., Chetwynd, J. H.,
and Adler-Golden, S. M.: MODTRAN Cloud and Multiple Scattering Upgrades with
Application to AVIRIS, Remote Sens. Environ., 65, 367–375,
https://doi.org/10.1016/S0034-4257(98)00045-5, 1998. 5. Borbas, E. E., Seemann, S. W., Huang, H.-L., Li, J., and Menzel, W. P.:
Global profile training database for satellite regression retrievals with
estimates of skin temperature and emissivity, Proceedings of the XIV,
International ATOVS Study Conference, Beijing, China, University of
Wisconsin-Madison, Space Science and Engineering Center, Cooperative
Institute for Meteorological Satellite Studies (CIMSS), Madison, WI,
763–770, 2005.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|