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Fuzhong Weng

1. Introduction Satellite observations of the atmosphere, land, and oceans are now a major component of the environmental observing system, since they provide critically important information to better understand and forecast short-term as well as climatic changes in weather. Through data assimilation techniques, the satellite observations as well as other sources of atmospheric and oceanic data, sampled at different times, intervals, and locations can be combined into a unified and consistent

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Chinnawat Surussavadee and David H. Staelin

1. Introduction To assimilate passive microwave precipitation observations or retrievals into numerical weather prediction (NWP) models, the modeled radiances must be consistent with those observed. This paper tests the sensitivity of that consistency to assumptions in a particular radiative transfer model (RTM), and in a cloud-resolving NWP model that predicts hydrometeor habits and profiles. The precipitation and water path retrieval accuracies are shown to be less sensitive to the physical

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Peter M. Norris and Arlindo M. da Silva

paid to predicted cloud properties, due to the slower time scales associated with cloud-induced radiative heating rates compared with the forecast duration. Nevertheless, clouds do have an important societal impact from day to day, in terms of their effects on diurnal temperature range and sunlight exposure. Furthermore, since NWP and GCM models have become more merged, typically sharing the same physics, advances in cloud parameterization in either climate or weather studies ought to benefit the

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Graeme L. Stephens and Christian D. Kummerow

that govern such distributions point to the elementary importance of the synoptic-scale controls of the atmospheric circulations that shape our weather systems ( Rossow and Cairns 1995 ). The vast range of scales that influence cloud and precipitation properties and the effects of these properties on weather and climate dictate a sampling strategy that inevitably requires the use of data collected from sensors flown on earth-orbiting satellites. A number of methods for determining various cloud and

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Ruiyue Chen, Fu-Lung Chang, Zhanqing Li, Ralph Ferraro, and Fuzhong Weng

Multispectral Rainfall Algorithm (GMSRA). J. Appl. Meteor. , 40 , 1500 – 1514 . Chang , F-L. , and Z. Li , 2002 : Estimating the vertical variation of cloud droplet effective radius using multispectral near-infrared satellite measurements. J. Geophys. Res. , 107 . 4257, doi:10.1029/2001JD000766 . Chang , F-L. , and Z. Li , 2003 : Retrieving vertical profiles of water-cloud droplet effective radius: Algorithm modification and preliminary application. J. Geophys. Res. , 108 . 4763, doi

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