contributor author | Zhang, Ying | |
contributor author | Li, Zhanqing | |
contributor author | Macke, Andreas | |
date accessioned | 2017-06-09T14:37:55Z | |
date available | 2017-06-09T14:37:55Z | |
date copyright | 2002/10/01 | |
date issued | 2002 | |
identifier issn | 0022-4928 | |
identifier other | ams-23197.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4159731 | |
description abstract | This study investigates and accounts for the influence of various ice cloud parameters on the retrieval of the surface solar radiation budget (SSRB) from reflected flux at the top of the atmosphere (TOA). The optical properties of ice clouds depend on ice crystal shape, size distribution, water content, and the vertical profiles of geometric and microphysical structure. As a result, the relationship between the SSRB and TOA-reflected flux for an ice cloud atmosphere is more complex and differs from that for water cloud and cloudless atmospheres. The sensitivities of the relationship between the SSRB and TOA-reflected flux are examined with respect to various ice cloud parameters. Uncertainties in the retrieval of the SSRB due to inadequate knowledge of various ice cloud parameters are evaluated thoroughly. The uncertainty study is concerned with both pure ice clouds and multiphase clouds (ice cloud above water cloud). According to the magnitudes of errors in the SSRB retrieval caused by different input variables, parameterized correction terms were introduced. If the input variables are known accurately, errors in the retrieval of the SSRB under a wide range of ice cloud conditions are expected to diminish substantially, to less than 10 W m?2 for 91% of the simulated ice cloud cases. In comparison, the same accuracy may be attained for only 19% of the retrievals for the same ice cloud cases using the retrieval algorithm designed for non-ice-cloud conditions. | |
publisher | American Meteorological Society | |
title | Retrieval of Surface Solar Radiation Budget under Ice Cloud Sky: Uncertainty Analysis and Parameterization | |
type | Journal Paper | |
journal volume | 59 | |
journal issue | 20 | |
journal title | Journal of the Atmospheric Sciences | |
identifier doi | 10.1175/1520-0469(2002)059<2951:ROSSRB>2.0.CO;2 | |
journal fristpage | 2951 | |
journal lastpage | 2965 | |
tree | Journal of the Atmospheric Sciences:;2002:;Volume( 059 ):;issue: 020 | |
contenttype | Fulltext | |