基于MAP地表观测的gcp - 1dd全球卫星降水产品验证

P. Skomorowski , F. Rubel , B. Rudolf
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引用次数: 11

摘要

全球降水气候学项目首次提供了每日卫星降水估计。gcpp - 1dd产品的实验版本最近推出,并可从美国宇航局获得,它为研究界提供了专门由卫星测量计算的1度日降水场。这些包括来自地球静止卫星和热带地区SSM/I数据的红外估计,以及来自高纬度极地轨道卫星的TOVS数据。本研究的目的是利用中尺度高山计划(MAP)期间密集雨量计网测量的地表降水,验证基于TOVS的中欧地区gcp - 1dd降雨率。在gcp - 1dd产品的网格上客观分析了1997年6 / 7月的3 100个高质量的日雨量计测量结果。这里给出了差异场(平均误差= - 0.59 mm/day)、相关系数(月平均值=0.57)以及准确率得分(检测概率=0.6,虚警率=0.2)和技能得分(真技能统计量=0.36)的验证结果。这些分数略低于从NWP模型验证中已知的分数。
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Verification of GPCP-1DD global satellite precipitation products using MAP surface observations

Daily satellite precipitation estimates have become available for the first time by the Global Precipitation Climatology Project. The experimental version of the GPCP-1DD product, recently launched and available from NASA, provides the research community with 1 degree daily precipitation fields exclusively computed from satellite measurements. These comprise IR estimates from geostationary satellites and SSM/I data in the tropics as well as TOVS data from polar orbiting satellites at higher latitudes. The purpose of the present study is to verify the TOVS based GPCP-1DD rain rates over Central Europe with the surface precipitation measured with the dense rain gauge network operated during The Mesoscale Alpine Programme (MAP). 3 100 high quality daily rain gauge measurements during June/July 1997 have been objectively analyzed on the grid of the GPCP-1DD products. Verification results are given here in terms of difference fields (mean error=−0.59 mm/day), correlation coefficients (mean monthly value =0.57) as well as accuracy scores (probability of detection=0.6, false alarm ratio=0.2) and skill scores (true skill statistics=0.36). These scores are slightly inferior than those known from NWP model verifications.

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