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Validation of satellite OPEMW precipitation product with ground-based weather radar and rain gauge networks

机译:利用地面气象雷达和雨量计网络验证卫星OPEMW降水产品

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The Precipitation Estimation at Microwave Frequencies (PEMW) algorithm was developed at the Institute of Methodologies for Environmental Analysis of the National Research Council of Italy (IMAA-CNR) for inferring surface rain intensity (sri) from satellite passive microwave observations in the range from 89 to 190 GHz. The operational version of PEMW (OPEMW) has been running continuously at IMAA-CNR for two years. The OPEMW sri estimates, together with other precipitation products, are used as input to an operational hydrological model for flood alert forecast. This paper presents the validation of OPEMW against simultaneous ground-based observations from a network of 20 weather radar systems and a network of more than 3000 rain gauges distributed over the Italian Peninsula and main islands. The validation effort uses a data set covering one year (July 2011–June 2012). The effort evaluates dichotomous and continuous scores for the assessment of rain detection and quantitative estimate, respectively, investigating both spatial and temporal features. The analysis demonstrates 98% accuracy in correctly identifying rainy and non-rainy areas; it also quantifies the increased ability (with respect to random chance) to detect rainy and non-rainy areas (0.42–0.45 Heidke skill score) or rainy areas only (0.27–0.29 equitable threat score). Performances are better than average during summer, fall, and spring, while worse than average in the winter season. The spatial–temporal analysis does not show seasonal dependence except over the Alps and northern Apennines during winter. A binned analysis in the 0–15 mm hsup?1/sup range suggests that OPEMW tends to slightly overestimate sri values below 6–7 mm hsup?1/sup and underestimate sri above those values. With respect to rain gauges (weather radars), the correlation coefficient is larger than 0.8 (0.9). The monthly mean difference and standard deviation remain within ±1 and 2 mm hsup?1/sup with respect to rain gauges (respectively ?2–0 and 4 mm hsup?1/sup with respect to weather radars).
机译:意大利国家研究委员会环境分析方法研究所(IMAA-CNR)开发了微波频率下的降水估计(PEMW)算法,用于从卫星被动微波观测中推断地表降雨强度(sri),范围为89至190 GHz。 PEMW(OPEMW)的运行版本已在IMAA-CNR上连续运行了两年。 OPEMW sri估计值与其他降水产品一起,用作洪水预警预报业务水文模型的输入。本文介绍了OPEMW针对来自20个天气雷达系统的网络以及分布在意大利半岛和主要岛屿上的3000多个雨量计的网络同时进行的地面观测的验证。验证工作使用涵盖一年(2011年7月至2012年6月)的数据集。这项工作分别评估了雨水探测和定量评估的二分和连续得分,同时调查了空间和时间特征。分析表明,正确识别雨天和非雨天区域的准确性为98%;它还可以量化检测到多雨和非多雨区域(0.42-0.45 Heidke技能得分)或仅在多雨区域(0.27-0.29公平威胁得分)的能力(相对于随机机会)。在夏季,秋季和春季,性能好于平均水平,而在冬季则差于平均水平。时空分析没有显示出季节依赖性,除了冬季阿尔卑斯山和亚平宁山脉北部。在0–15 mm h ?1 范围内进行的分箱分析表明,OPEMW倾向于稍微高估低于6–7 mm h ?1 的sri值,而低估高于这些值的sri 。对于雨量计(天气雷达),相关系数大于0.8(0.9)。相对于雨量计,月平均差和标准偏差保持在±1和2 mm h ?1 之内(相对于雨量计分别为?2-0和4 mm h ?1 雷达)。

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