Long-Term Performance Evaluation of the Latest Multi-Source Weighted-Ensemble Precipitation (MSWEP) over the Highlands of Indo-Pak (1981-2009)
文献类型：期刊论文
| 作者 | Ali, Sikandar1,4; Chen, Yaning1,4; Azmat, Muhammad2; Kayumba, Patient Mindje1,4; Ahmed, Zeeshan4; Mind'je, Richard1,4; Ghaffar, Abdul1,3; Qin, Jinxiu1,4; Tariq, Akash4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-10-01 |
| 卷号 | 14期号:19页码:- |
| 关键词 | GPPs APHRO CHIRPS ERA-5 PGMFD MSWEP Indo-Pak |
| 英文摘要 | The paucity of in-situ records, particularly in the glaciated mountainous region, is an obstacle in cryosphere ecology and environmental studies. Generally, available gauge station data is fragmented and covers valleys; thus, the use of gridded precipitation products (GPPs) is crucial in such complex terrains. However, these GPPs suffer from systematic biases and uncertainties owing to parameterization deficiencies. Therefore, the main goal of this research is to systematically evaluate the long-term performance and differences of the newly launched MSWEP in comparison to APHRO, CHIRPS, ERA-5, and PGMFD over the transboundary region of Indo-Pak (1981-2009) at spatial (whole to sub-basins) and temporal (daily to seasonal) scales. Findings reveal (1) overall, five GPPs produced well annual spatial precipitation variability with high magnitudes in the northwestern and low in the northeastern region. (2) The estimations from GPPs also divulged better correlation with in-situ observations (MSWEP = 0.86, APHRO = 0.76, ERA-5 = 0.81, CHIRPS = 0.57 and PGMFD = 0.68) at daily span. Better performance was observed during the monsoon compared to winter and pre-monsoon seasons. (3) Lately, estimates from MSWEP are more reliable for all the seasons, especially in the winter season, with the highest CC (0.90) and lowest relative bias (3.03%). (4) All GPPs (excluding ERA-5) overestimated light precipitation (0-1 mm/day) and underestimated moderate to heavy precipitation, in contrast to the ERA-5 that tended to underestimate the light but overestimate moderate (1-20 mm/day) and heavy precipitation (>20 mm/day) events. The CHIRPS was less accurate in detecting most of the precipitation events. The MSWEP product captured all precipitation intensities more accurately than other GPPs. The current research indicates considerable implications for product improvement and data users for choosing better alternative precipitation data at a local scale. |
| 学科主题 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000867167200001 |
| 出版者 | MDPI |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/35293]  |
| 专题 | 中科院武汉岩土力学所 |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Institute of Geographical Information Systems (IGIS), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan 3.State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China 4.State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China |
| 推荐引用方式 GB/T 7714 | Ali, Sikandar,Chen, Yaning,Azmat, Muhammad,et al. Long-Term Performance Evaluation of the Latest Multi-Source Weighted-Ensemble Precipitation (MSWEP) over the Highlands of Indo-Pak (1981-2009)[J]. REMOTE SENSING,2022,14(19):-. |
| APA | Ali, Sikandar.,Chen, Yaning.,Azmat, Muhammad.,Kayumba, Patient Mindje.,Ahmed, Zeeshan.,...&Tariq, Akash.(2022).Long-Term Performance Evaluation of the Latest Multi-Source Weighted-Ensemble Precipitation (MSWEP) over the Highlands of Indo-Pak (1981-2009).REMOTE SENSING,14(19),-. |
| MLA | Ali, Sikandar,et al."Long-Term Performance Evaluation of the Latest Multi-Source Weighted-Ensemble Precipitation (MSWEP) over the Highlands of Indo-Pak (1981-2009)".REMOTE SENSING 14.19(2022):-. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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