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Examining Biases in Diurnally-Integrated Shortwave Irradiances due to Two- and Four-Stream Approximations in Cloudy Atmosphere Shortwave irradiance biases due to two- and four-stream approximations have been studied for the last couple of decades, but biases in estimating Earth’s radiation budget have not been examined in earlier studies. In order to quantify biases in diurnally-averaged irradiances, we integrate the two- and four-stream biases using realistic diurnal variations of cloud properties from Clouds and the Earth’s Radiant Energy System (CERES) synoptic (SYN) hourly product. Three approximations are examined in this study, delta-two-stream-Eddington (D2strEdd), delta- two-stream-quadrature (D2strQuad), and delta-four-stream-quadrature (D4strQuad). Irradiances computed by the Discrete Ordinates Radiative Transfer (DISORT) and Monte Carlo (MC) methods are used as references. The MC noises are further examined by comparing with DISORT results. When the biases are integrated with a one-day of solar zenith angle variation, regional biases of D2strEdd and D2strQuad reach up to 8 W/sq.m, while biases of D4strQuad reach up to 2 W/sq.m. When the biases are further averaged monthly or annually, regional biases of D2strEdd and D2strQuad can reach –1.5 W/sq.m in SW top-of-atmosphere (TOA) upward irradiances and +3 W/sq.m in surface downward irradiances. In contrast, regional biases of D4strQuad are within +0.9 for TOA irradiances and –1.2 W/sq.m for surface irradiances. Except for polar regions, monthly and annual global mean biases are similar, suggesting that the biases are nearly independent to season. Biases in SW heating rate profiles are up to –0.008 K/d for D2strEdd and –0.016 K/d for D2strQuad, while the biases of the D4strQuad method are negligible.



Document ID
20200002711
Acquisition Source
Langley Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Ham, Seung-Hee
(Science Systems and Applications, Inc. (SSAI) Hampton, VA, United States)
Kato, Seiji
(NASA Langley Research Center Hampton, VA, United States)
Rose, Fred G.
(Science Systems and Applications, Inc. (SSAI) Hampton, VA, United States)
Date Acquired
April 20, 2020
Publication Date
January 28, 2020
Subject Category
Meteorology And Climatology
Report/Patent Number
NF1676L-32425
Report Number: NF1676L-32425
Funding Number(s)
WBS: 652528.02.01
Distribution Limits
Public
Copyright
Public Use Permitted.
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