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

机译:地面天气雷达和雨量雨量网络验证卫星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 h?1 range suggests that OPEMW tends to slightly overestimate sri values below 6–7 mm h?1 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 h?1 with respect to rain gauges (respectively ?2–0 and 4 mm h?1 with respect to weather radars).
机译:微波频率(PEMW)算法的降水估计在意大利国家研究委员会的环境分析方法研究所(IMAA-CNR),用于推断出从89的卫星被动微波观测的表面雨强度(SRI)到190 GHz。 PEMW(OPEMW)的操作版本在IMAA-CNR连续运行了两年。 OPEMW SRI估计与其他降水产品一起用作洪水警报预测的运营水文模型的输入。本文介绍了OPEMW对20个天气雷达系统网络的同步地面观测的验证,以及分布在意大利半岛和主要岛屿的3000多个雨量仪的网络。验证工作使用一年(2011年7月2011年7月)的数据集。努力评估分别评估雨水检测和定量估计的二分和连续评分,调查空间和时间特征。该分析表明,在正确识别下雨和非雨区的准确性上表现出98%;它还量化了增加的能力(关于随机机会)来检测多雨和非雨区(0.42-0.45 Heidke技能评分)或仅限雨区(0.27-0.29公平威胁评分)。在夏季,秋季和春季,性能优于平均水平,而冬季的平均水平差。在冬季,空间时间分析并没有显示除阿尔卑斯山和北亚平宁山脉之外的季节性依赖。在0-15毫米H中的箱分析1范围内表明,OPEMW倾向于略微高估在6-7mmH的SRI值低于6-7毫米的β1并低估SRI以上的值。关于雨量仪(天气雷达),相关系数大于0.8(0.9)。每月平均差异和标准偏差在雨量仪(分别有关天气雷达)的雨量仪(分别为2毫米,分别为2mm H 2 Mm 2毫米)。

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