Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.5968 |
Spatial assessment of the performance of multiple high-resolution satellite-based precipitation data sets over the Middle East | |
El Kenawy, Ahmed M.1,2; McCabe, Matthew F.3; Lopez-Moreno, Juan I.1; Hathal, Yossef4; Robaa, S. M.5; Al Budeiri, Ahmed L.4; Jadoon, Khan Zaib6; Abouelmagd, Abdou7; Eddenjal, Ali8; Dominguez-Castro, Fernando1; Trigo, Ricardo M.9; Vicente-Serrano, Sergio M.1 | |
2019-04-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
卷号 | 39期号:5页码:2522-2543 |
文章类型 | Article |
语种 | 英语 |
国家 | Spain; Egypt; Saudi Arabia; Iraq; Pakistan; Libya; Portugal |
英文摘要 | This study presents the first comprehensive evaluation of the performance of three globally high-resolution remotely sensed products in replicating the main characteristics of rainfall over the Middle East, with special emphasis on extreme wet events. Specifically, we employed daily observational data from a network of rain gauges (N=217), spanning the retrospective period 1998-2013 and covering six countries in the Middle East (i.e., Egypt, Iraq, Jordan, Libya, Saudi Arabia, and Syria), against data derived from three global satellite-based precipitation products: the Version 7 TRMM (Tropical Rainfall Measuring Mission) Multi-satellite Precipitation Analysis 3B42 product (TRMM-3B42), the Climate Prediction Center MORPHing technique (CMORPH), and the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN). Alongside a range of conventional statistical error measures (e.g., bias, normalized root-mean-square error [nRMSE] and Spearman's rho correlation coefficient), this study also gives priority to evaluate the skill of these products in reproducing characteristics of extreme wet events (e.g., frequency, intensity, duration, onset, anomaly). Results demonstrate that TRMM-3B42 generally performs well in estimating rainfall totals during the rainy season (ONDJFMA), with a mean bias of 0.05mm, nRMSE of 0.15mm, and Spearman's rho of 0.74 for the whole Middle East. In contrast, PERSIANN-CDR and CMORPH-BLD underestimate the observed rainfall. Importantly, TRMM-3B42 outperforms other products in reproducing the frequency and intensity of the most extreme wet events, while PERSIANN-CDR and CMORPH-BLD fail to reproduce these key characteristics. Notably, all products perform poorly in reproducing the climatology of the anomalous wet events in the region, indicating that careful scrutiny must be warranted before using these products, particularly for hydrological modelling. Considering the daily resolution of these remotely sensed precipitation products and their reasonable spatial resolution (0.25x0.25 degrees) in comparison to available in situ data over the Middle East, results of this work provide a solid scientific reference for national stakeholders and policy makers to decide on the most useful product for their specific applications (e.g., hydrological modelling, streamflow forecasts, water resources management, and hydrometeorological hazard assessment and mitigation). |
英文关键词 | CMORPH extreme wet events Middle East PERSIANN rainfall TRMM-3B42 |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000467048900002 |
WOS关键词 | AFRICA REGION ; PRODUCTS ; EXTREMES ; TEMPERATURE ; TRENDS ; CLIMATOLOGY ; GAUGE ; TMPA ; VARIABILITY ; DENSITY |
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/182110 |
专题 | 气候变化 |
作者单位 | 1.Inst Pirena Ecol, Campus Aula Dei,Avda Montanana, Zaragoza 50059, Spain; 2.Mansoura Univ, Dept Geog, Mansoura, Egypt; 3.King Abdullah Univ Sci & Technol, Div Biol & Environm Sci & Engn, Thuwal, Saudi Arabia; 4.Baghdad Univ, Dept Geog, Baghdad, Iraq; 5.Cairo Univ, Dept Astron Space Sci & Meteorol, Fac Sci, Cairo, Egypt; 6.Int Islamic Univ, Dept Civil Engn, Islamabad, Pakistan; 7.Suez Canal Univ, Dept Geol, Fac Sci, Ismailia, Egypt; 8.Libyan Natl Meteorol Ctr, Tripoli, Libya; 9.Univ Lisbon, Fac Ciencias, Inst Dom Luiz, Ctr Geofis, Lisbon, Portugal |
推荐引用方式 GB/T 7714 | El Kenawy, Ahmed M.,McCabe, Matthew F.,Lopez-Moreno, Juan I.,et al. Spatial assessment of the performance of multiple high-resolution satellite-based precipitation data sets over the Middle East[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(5):2522-2543. |
APA | El Kenawy, Ahmed M..,McCabe, Matthew F..,Lopez-Moreno, Juan I..,Hathal, Yossef.,Robaa, S. M..,...&Vicente-Serrano, Sergio M..(2019).Spatial assessment of the performance of multiple high-resolution satellite-based precipitation data sets over the Middle East.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(5),2522-2543. |
MLA | El Kenawy, Ahmed M.,et al."Spatial assessment of the performance of multiple high-resolution satellite-based precipitation data sets over the Middle East".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.5(2019):2522-2543. |
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