The impact of explicit cloud boundary information on ice cloud microphysical property retrievals from infrared radiances

The impact of explicit cloud boundary information on ice cloud microphysical property retrievals from infrared radiances
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明确的云边界信息对红外辐射冰云微物理性质反演的影响

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发表时间:
2003
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影响因子:
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通讯作者:
G. Stephens
G. Stephens
中科院分区:
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文献类型:
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作者:
S. Cooper;T. L’Ecuyer;G. Stephens

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[1] Cirrus clouds have a profound impact on the radiation balance of the Earth–atmosphere system. Accurate representation of their radiative properties is critical to understanding climate and predicting climate change. This paper casts the split-window cirrus cloud retrieval technique in an optimal estimation framework facilitating direct inclusion of explicit cloud boundary information from complementary sensors as well as providing a suite of diagnostic tools for evaluating the dominant sources of uncertainty in all retrieved quantities. Errors in retrieved microphysical properties are used to determine the resulting errors in the calculation of global-scale radiative budgets. Uncertainties in optical depth and effective radius are found to diminish from � 45% and � 80%, respectively, in the absence of explicit cloud boundary information to � 15% and � 60% when accurate radarbased or lidar-based estimates are included. It is demonstrated that the improvements to cirrus cloud optical properties afforded by accurate cloud boundary information may lead to as much as a factor of 3 increase in the accuracy to which their impact on the Earth’s radiative balance can be modeled. Colocated infrared radiances from the ModerateResolution Imaging Spectroradiometer (MODIS) instrument aboard the Earth Observing System (EOS) Aqua satellite and cloud radar observations from the CloudSat satellite will soon allow the retrieval presented here to be integrated into an operational retrieval of the vertical distribution of cloud properties on a global scale. INDEX TERMS: 0320 Atmospheric Composition and Structure: Cloud physics and chemistry; 3359 Meteorology and Atmospheric Dynamics: Radiative processes; 3360 Meteorology and Atmospheric Dynamics: Remote sensing; 3374 Meteorology and Atmospheric Dynamics: Tropical meteorology; 3394 Meteorology and Atmospheric Dynamics: Instruments and techniques; KEYWORDS: cirrus clouds, split-window, CloudSat, radiative fluxes