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Impact of MSMR data on NCMRWF Global Data Assimilation System

机译:MSMR数据对NCMRWF全球数据同化系统的影响

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摘要

¶It is very essential to make use of non-conventional remotely sensed data mainly from various satellites for numerical weather prediction. IRS series of Indian satellites have been found very useful for various types of studies. Recently IRS-P4 was successfully launched and its Multi-frequency Scanning Microwave Radiometer (MSMR) sensor is giving near surface wind speed and total precipitable water content over oceanic region. An attempt has been made to assimilate directly these two geophysical parameters derived at 150 km resolution, along with other global meteorological data, in the National Center for Medium Range Weather Forecasting (NCMRWF), New Delhi Global Data Assimilation System. (GDAS).
机译:¶非常重要的是利用主要来自各种卫星的非常规遥感数据进行数值天气预报。已发现IRS系列印度卫星对各种类型的研究非常有用。最近,IRS-P4成功发射,其多频扫描微波辐射计(MSMR)传感器正在提供近地表风速和整个海洋区域的总可沉淀水含量。在新德里全球数据同化系统国家中距离天气预报中心(NCMRWF)中,已经尝试直接同化以150 km分辨率导出的这两个地球物理参数以及其他全球气象数据。 (GDAS)。

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  • 来源
    《Meteorology and Atmospheric Physics》 |2002年第4期|257-272|共16页
  • 作者单位

    National Center for Medium Range Weather Forecasting (NCMRWF) Mausam Bhavan Lodi Road New Delhi India;

    Center for Atmospheric Sciences I. I. T. Delhi New Delhi India;

    Center for Atmospheric Sciences I. I. T. Delhi New Delhi India;

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