Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2018.02.019 |
Assessment of GPM and SM2RAIN-ASCAT rainfall products over complex terrain in southern Italy | |
Chiaravalloti, Francesco1; Brocca, Luca2; Procopio, Antonio1; Massari, Christian2; Gabriele, Salvatore1 | |
2018-07-01 | |
发表期刊 | ATMOSPHERIC RESEARCH
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ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2018 |
卷号 | 206页码:64-74 |
文章类型 | Article |
语种 | 英语 |
国家 | Italy |
英文摘要 | The assessment of precipitation over land is extremely important for a number of scientific purposes related to the mitigation of natural hazards, climate modelling and prediction, famine and disease monitoring, to cite a few. Due to the difficulties and the cost to maintain ground monitoring networks, i.e., raingauges and meteorological radars, remote sensing is receiving more and more attention in the recent decade(s). However, the accuracy of satellite observations of rainfall should be assessed with ground information as it is affected by a number of factors (topography, vegetation density, land-sea interface). Calabria is a peninsular region in southern Italy characterized by complex topography, dense vegetation and a narrow North-South elongated shape, thus being a very challenging place for rainfall retrieval from remote sensing. In this study, we built a high-quality rainfall datasets from raingauges and meteorological radars for testing three remotely sensed rainfall products: 1) the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement product (IMERG), 2) the SM2RASC product obtained from the application of SM2RAIN (Soil Moisture TO RAIN) algorithm to the Advanced SCATterometer (ASCAT) derived satellite soil moisture data, and 3) a product derived from a simple combination of IMERG and SM2RASC. The assessment of the products is carried out at different rainfall time accumulation (e.g., from 0.5 to 24 h) for a similar to 2-year period from 10th March 2015, to 31st December 2016. Results show that IMERG has good performance at time resolutions higher than 6 h. At daily time scale, IMERG and SM2RASC show similar results with median correlations, R, similar to 0.60, and root mean square error, RMSE, similar to 7.6 mm/day (BIAS is -0.85 and + 0.51 mm/day, respectively). The combined product outperforms the parent products (median R > 0.70, RMSE < 6.5 mm/day, BIAS -0.07 mm/day). Among the different factors affecting products quality, topographic complexity seems to play the more relevant role, particularly for SM2RASC but also for IMERG. Overall, this study shows that the investigated satellite-based products agree reasonably well with observations notwithstanding the challenging features of the region, and the combination of IMERG and SM2RASC provides a way to overcome their limitations and to produce a higher quality satellite rainfall product. |
英文关键词 | Rainfall Soil moisture Remote sensing Hydrology |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000430765000005 |
WOS关键词 | PRECIPITATION ANALYSIS TMPA ; SATELLITE SOIL-MOISTURE ; MEDITERRANEAN REGION ; WEATHER RADAR ; IMERG ; TRMM ; RETRIEVALS ; EVENTS ; CONSTELLATION ; PERFORMANCE |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/38368 |
专题 | 地球科学 |
作者单位 | 1.CNR, Res Inst Geohydrol Protect, Cosenza, Italy; 2.CNR, Res Inst Geohydrol Protect, Perugia, Italy |
推荐引用方式 GB/T 7714 | Chiaravalloti, Francesco,Brocca, Luca,Procopio, Antonio,et al. Assessment of GPM and SM2RAIN-ASCAT rainfall products over complex terrain in southern Italy[J]. ATMOSPHERIC RESEARCH,2018,206:64-74. |
APA | Chiaravalloti, Francesco,Brocca, Luca,Procopio, Antonio,Massari, Christian,&Gabriele, Salvatore.(2018).Assessment of GPM and SM2RAIN-ASCAT rainfall products over complex terrain in southern Italy.ATMOSPHERIC RESEARCH,206,64-74. |
MLA | Chiaravalloti, Francesco,et al."Assessment of GPM and SM2RAIN-ASCAT rainfall products over complex terrain in southern Italy".ATMOSPHERIC RESEARCH 206(2018):64-74. |
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