NOAA微波综合检索系统(MiRS)云液态水检索和评估

Shuyan Liu, C. Grassotti, Q. Liu
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引用次数: 3

摘要

自2007年以来,NOAA微波综合检索系统(MiRS)已在美国国家海洋和大气管理局(NOAA)投入使用,并为许多包含微波传感器的卫星生成环境数据记录(即卫星产品)。本文主要研究了由中国国家极轨伙伴关系卫星(SNPP)搭载的先进技术微波测深仪(ATMS)获取的云液态水路径(CLWP)。CLWP产品通过地面观测和基于卫星的参考数据集进行评估。地面现场观测来自位于葡萄牙亚速尔群岛Graciosa岛东北大西洋(ENA)站点的大气辐射测量(ARM)。卫星参考数据来自全球降水测量(GPM)戈达德剖面算法(GPROF)对应的CLWP产品。结果表明,MiRS检索的CLWP与参考数据集吻合良好。在业绩方面有一些季节性和纬度依赖性的迹象,其中一些可能与参考数据本身的不确定性有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NOAA Microwave Integrated Retrieval System (MiRS) Cloud Liquid Water Retrieval and Assessment
The NOAA Microwave Integrated Retrieval System (MiRS) has been implemented operationally at the U.S. National Oceanic and Atmospheric Administration (NOAA) since 2007 and has been generating environmental data records (i.e. satellite products) for many satellites that contain microwave sensors. This paper focuses on cloud liquid water path (CLWP) retrieved from Advanced Technology Microwave Sounder (ATMS) onboard Suomi National Polar-orbiting Partnership (SNPP) satellite. The CLWP product is assessed by both ground based observations and a satellite based reference dataset. The ground in-situ observations are from the Atmospheric Radiation Measurement (ARM) at Eastern North Atlantic (ENA) site at Graciosa Island, Azores, Portugal. Satellite reference data are from Global Precipitation Measurement (GPM) Goddard Profiling Algorithm (GPROF) corresponding CLWP product. Results showed that MiRS retrieved CLWP is in good agreement with the reference data sets. There is some indication of seasonal and latitudinal dependence in performance, some of which may be related to uncertainties in the reference data themselves.
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