Abstract

Abstract. 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).

Highlights

  • The accurate estimation of rainfall is crucial for many applications, including its short-term assessment and long-term monitoring

  • 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

  • To what was proposed by Antonelli et al (2010), this analysis carries out a detailed validation of the OPEMW product by comparing the satellite estimation against the weather radar and rain gauge networks deployed over the Italian territory

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Summary

Introduction

The accurate estimation of rainfall is crucial for many applications, including its short-term assessment and long-term monitoring. The Precipitation Estimation at Microwave Frequencies (PEMW) algorithm was developed to infer rain rates from satellite passive microwave observations in the 89 to 190 GHz range (Di Tomaso et al, 2009). To what was proposed by Antonelli et al (2010), this analysis carries out a detailed validation of the OPEMW product by comparing the satellite estimation against the weather radar and rain gauge networks deployed over the Italian territory. This paper is organized as the follows: Sect. 2 describes the data set under consideration, Sect. 3 summarizes the methodology used for data comparison, Sect. 4 reports the results of the data analysis, and Sect. 5 summarizes the quantitative results and draws the final conclusions

Data set
Rain gauge network
Statistical scores
Results
Dichotomous statistical assessment
Continuous statistical assessment
Conclusions
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