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Near real time product of the gauge adjusted GSMaP (GSMaP_Gauge_NRT)

机译:经调整的GSMaP的近实时乘积(GSMaP_Gauge_NRT)

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This paper describes the rain gauge adjusted algorithm for the Global Satellite Mapping of Precipitation (GSMaP_Gauge_NRT) that estimates the surface rainfall rate with the resolution of 0.1 degree and 1 hour resolution over the globe in near realtime. Precipitation is one of the most important parameters on the earth system, and the global distribution of precipitation and its change are essential data for modeling the water cycle, maintaining the ecosystem environment, agricultural production, improvements of the weather forecast precision, flood warning and so on. In the GPM (Global Precipitation Measurement) project, the integrated products of high resolution mapping of precipitation from microwave measurements from constellation satellite and infrared radiometers from geo-stationary orbit are developed and supplied to the public. However, sometimes such high resolution product such as GSMaP_NRT underestimates the surface precipitateon and causes large error for hydrological modeling. In this paper, global gauge data set are combined with GSMaP_NRT. After describing and evaluating the GSMaP_Gauge which is a gauge adjusted product of the GSMaP_MVK, the methodology of a new combined algorithm (GSMaP_Gauge_NRT) is described.
机译:本文介绍了针对全球降水的卫星降水图(GSMaP_Gauge_NRT)的经雨量计调整的算法,该算法可近乎实时地以0.1度的分辨率和1小时的分辨率估算全球地面降雨率。降水是地球系统上最重要的参数之一,降水的全球分布及其变化是模拟水循环,维护生态系统环境,农业生产,提高天气预报精度,洪水预警等重要数据。在。在GPM(全球降水量测量)项目中,开发了高分辨率的星座图,这些星座图是来自星座卫星的微波测量结果和地球静止轨道的红外辐射计的高分辨率降水图,并向公众提供。但是,有时此类高分辨率产品(例如GSMaP_NRT)会低估表面的沉淀物,从而对水文建模造成较大的误差。在本文中,全局量规数据集与GSMaP_NRT结合在一起。在描述和评估了GSMaP_MVK的量表调整产品GSMaP_Gauge之后,描述了一种新的组合算法(GSMaP_Gauge_NRT)的方法。

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