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Estimation of Precipitation over India and Associated Oceanic Regions by Combined Use of Gauge andMulti-satellite Sensor Observations at Fine Scale

机译:结合使用小尺度量规和多卫星传感器观测估算印度和相关海域的降水

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The present study focuses on estimating rainfall (daily accumulated) using gauge and satellite observa- tions over land and ocean regions of South Asia (30°S-50°N, 40°E-120°E) at a 0.25° × 0.25° spatial resolution for the period 2007-2010 (four years). The study utilizes observations from rain gauges, the Special Sensor Microwave/Imager (SSM/I) onboard the Defense Meteorological Satellite Program (DMSP), Precipitation Radar (PR) onboard the Tropical Rainfall Measuring Mission (TRMM) and geo-stationary satellite Meteosat from Eumetsat. The present study makes use of rainfall estimates by synergistic use of multi-satellite sensors using Meteosat Infrared and Water Vapor absorption channels and PR observations (Mishra et al., 2009b, 2010) and SSM/I-derived microwave estimates using a regional scattering index developed by Mishra et al., (2009a). The pixels over the land portion of the study area are filled with available rain gauge observations over the southern part (around 14°N and 78°E) of the study area, which has a dense network of Automatic Weather Station (AWS) rain gauges operated by the Indian Space Research Organization (ISRO). Pixels over the other part of the study area are filled with available microwave observations first, but if microwave observations are unavailable then these pixels are filled with microwave-calibrated infrared observations over the land and oceanic regions of the study area. The precipitation estimates from the present approach are vali- dated against rain gauge observations and other available standard rainfall products like TRMM-3B42V6 and Global Precipitation Climatology Project (GPCP) version 2.1. The validation results show that the present approach of precipitation estimation is able to estimate rainfall with high accuracy.
机译:本研究着重于使用南亚陆地和海洋区域(30°S-50°N,40°E-120°E)在0.25°×0.25°上的标尺和卫星观测估计降雨(每日累积) 2007-2010年(四年)的空间分辨率。这项研究利用了雨量计的观测结果,国防气象卫星计划(DMSP)上的特殊传感器微波/成像仪(SSM / I),热带雨量测量任务(TRMM)上的降水雷达(PR)以及气象卫星上的对地静止卫星Meteosat Eumetsat。本研究利用气象卫星的红外和水汽吸收通道和PR观测值(Mishra等,2009b,2010)和使用区域散射指数的SSM / I微波估计值协同使用多卫星传感器,并利用降雨估计值由Mishra等人(2009a)开发。研究区域陆地部分的像素充满了研究区域南部(约14°N和78°E)可用的雨量计观测值,该观测区具有密集的自动气象站(AWS)雨量计网络由印度空间研究组织(ISRO)运营。研究区域其他部分的像素首先填充有可用的微波观测值,但是如果没有微波观测,则这些像素将填充研究区域的陆地和海洋区域的微波校准红外观测值。本方法的降水量估计值是根据雨量计观测值和其他可用的标准降雨产品(如TRMM-3B42V6和2.1版全球降水气候学项目)验证的。验证结果表明,目前的降水估算方法能够高精度地估算降雨。

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