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首页> 美国政府科技报告 >Performance of the Falling Snow Retrieval Algorithms for the Global Precipitation Measurement (GPM) Mission.
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Performance of the Falling Snow Retrieval Algorithms for the Global Precipitation Measurement (GPM) Mission.

机译：用于全球降水测量（Gpm）任务的降雪检索算法的性能。

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Retrievals of falling snow from space represent an important data set for understanding the Earth's atmospheric, hydrological, and energy cycles, especially during climate change. Estimates of falling snow must be captured to obtain the true global precipitation water cycle, snowfall accumulations are required for hydrological studies, and without knowledge of the frozen particles in clouds one cannot adequately understand the energy and radiation budgets. While satellite-based remote sensing provides global coverage of falling snow events, the science is relatively new and retrievals are still undergoing development with challenges remaining). This work reports on the development and testing of retrieval algorithms for the Global Precipitation Measurement (GPM) mission Core Satellite, launched February 2014.

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