Identification and inter-comparison of appropriate long-term precipitation datasets using decision tree model and statistical matrix over China
文献类型：期刊论文
| 作者 | Faiz, Muhammad Abrar5; Zhang, Yongqiang5; Baig, Faisal2,3; Wrzesinski, Dariusz4; Naz, Farah1 |
| 刊名 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
 |
| 出版日期 | 2021-04-06 |
| 页码 | 19 |
| 关键词 | APHRODITE CHIRPS CMA extremes NCEP2 |
| ISSN号 | 0899-8418 |
| DOI | 10.1002/joc.7113 |
| 通讯作者 | Zhang, Yongqiang(zhangyq@igsnrr.ac.cn) |
| 英文摘要 | The reliability of long-term precipitation estimates is vital for climatology and hydrometeorology applications. Different climatic zones and high rain gauge network (more than 800) of China are a suitable topography for performance evaluation of different long-term precipitation datasets. In this study, seven long-term precipitation datasets are tested against in situ observations at different time scales (1981-2016) at 813 grid points. Well-known statistical indicators and Fast-frugal tree (FFt) decision model are employed to identify the best long-term datasets. Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Climate Data Record is the only datasets that did not perform well in the study area. Asian Precipitation-Highly-Resolved Observational Data Integration Towards Evaluation (APHRODITE), Global Precipitation Climatology Centre (GPCC), and Climate Prediction Center (CPC-Global) estimates are comparable with in situ observations. Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), National Centers for Environmental Prediction (NCEP2) overestimate the precipitation extremes in the region. There exists a difference of 100-250 mm among precipitation datasets at an annual scale. All of the seven long-term datasets underestimate the rxdays across China. The minimum range of rxdays (maximum precipitation amount in under defined days: 1 day or 5 days) captured by datasets is comparable except PERSIANN-CDR. The maximum range calculated with PERSIANN-CDR is 55.01 (rx1day), and 129.67 (rx5day), much less than the in situ rxdays. This analysis shows that datasets failed to capture maximum precipitation intensity in the region as well. FFt decision model results show that APHRODITE ranked first based on calculated consecutive dry days among all six other datasets in the most climatic zones. Overall, results indicate that data assimilation, the spatial coverage of ground stations, and interpolation techniques used to develop the datasets may limit the reliability of precipitation datasets in the study area. |
| WOS关键词 | RAINFALL MEASURING MISSION ; HIGH-RESOLUTION SATELLITE ; GLOBAL PRECIPITATION ; GRIDDED PRECIPITATION ; RIVER-BASIN ; SPATIAL INTERPOLATION ; METEOROLOGICAL DROUGHT ; STREAMFLOW SIMULATION ; EXTREME PRECIPITATION ; REANALYSIS DATASETS |
| 资助项目 | CAS President's International Fellowship Initiative (PIFI)[2020PE0048] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000637068700001 |
| 出版者 | WILEY |
| 资助机构 | CAS President's International Fellowship Initiative (PIFI) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/161840]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Yongqiang |
| 作者单位 | 1.Khawaja Fareed Univ, Dept Civil Engn, Rahim Yar Khan, Pakistan 2.United Arab Emirates Univ, Dept Civil & Environm Engn, Al Ain, U Arab Emirates 3.United Arab Emirates Univ, Natl Water Ctr, Al Ain, U Arab Emirates 4.Adam Mickiewicz Univ, Inst Phys Geog & Environm Planning, Poznan, Poland 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Faiz, Muhammad Abrar,Zhang, Yongqiang,Baig, Faisal,et al. Identification and inter-comparison of appropriate long-term precipitation datasets using decision tree model and statistical matrix over China[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2021:19. |
| APA | Faiz, Muhammad Abrar,Zhang, Yongqiang,Baig, Faisal,Wrzesinski, Dariusz,&Naz, Farah.(2021).Identification and inter-comparison of appropriate long-term precipitation datasets using decision tree model and statistical matrix over China.INTERNATIONAL JOURNAL OF CLIMATOLOGY,19. |
| MLA | Faiz, Muhammad Abrar,et al."Identification and inter-comparison of appropriate long-term precipitation datasets using decision tree model and statistical matrix over China".INTERNATIONAL JOURNAL OF CLIMATOLOGY (2021):19. |
入库方式： OAI收割
来源：地理科学与资源研究所
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