In this section
@article{Gristey:2021:10.3390/rs13132640,
author = {Gristey, JJ and Su, W and Loeb, NG and Vonder, Haar TH and Tornow, F and Schmidt, KS and Hakuba, MZ and Pilewskie, P and Russell, JE},
doi = {10.3390/rs13132640},
journal = {Remote Sensing},
title = {Shortwave radiance to irradiance conversion for earth radiation budget satellite observations: a review},
url = {http://dx.doi.org/10.3390/rs13132640},
volume = {13},
year = {2021}
}
TY - JOUR
AB - Observing the Earth radiation budget (ERB) from satellites is crucial for monitoring and understanding Earth’s climate. One of the major challenges for ERB observations, particularly for reflected shortwave radiation, is the conversion of the measured radiance to the more energetically relevant quantity of radiative flux, or irradiance. This conversion depends on the solar-viewing geometry and the scene composition associated with each instantaneous observation. We first outline the theoretical basis for algorithms to convert shortwave radiance to irradiance, most commonly known as empirical angular distribution models (ADMs). We then review the progression from early ERB satellite observations that applied relatively simple ADMs, to current ERB satellite observations that apply highly sophisticated ADMs. A notable development is the dramatic increase in the number of scene types, made possible by both the extended observational record and the enhanced scene information now available from collocated imager information. Compared with their predecessors, current shortwave ADMs result in a more consistent average albedo as a function of viewing zenith angle and lead to more accurate instantaneous and mean regional irradiance estimates. One implication of the increased complexity is that the algorithms may not be directly applicable to observations with insufficient accompanying imager information, or for existing or new satellite instruments where detailed scene information is not available. Recent advances that complement and build on the base of current approaches, including machine learning applications and semi-physical calculations, are highlighted.
AU - Gristey,JJ
AU - Su,W
AU - Loeb,NG
AU - Vonder,Haar TH
AU - Tornow,F
AU - Schmidt,KS
AU - Hakuba,MZ
AU - Pilewskie,P
AU - Russell,JE
DO - 10.3390/rs13132640
PY - 2021///
SN - 2072-4292
TI - Shortwave radiance to irradiance conversion for earth radiation budget satellite observations: a review
T2 - Remote Sensing
UR - http://dx.doi.org/10.3390/rs13132640
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000670953300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR - https://www.mdpi.com/2072-4292/13/13/2640
UR - http://hdl.handle.net/10044/1/113500
VL - 13
ER -