globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.atmosres.2018.05.016
Scopus记录号: 2-s2.0-85047638378
论文题名:
Comparison of two long-term and high-resolution satellite precipitation datasets in Xinjiang, China
作者: Gao F.; Zhang Y.; Chen Q.; Wang P.; Yang H.; Yao Y.; Cai W.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 212
起始页码: 150
结束页码: 157
语种: 英语
英文关键词: CHIRPS ; PERSIANN-CDR ; Satellite precipitation products ; Xinjiang
Scopus关键词: Chirp modulation ; Clock and data recovery circuits (CDR circuits) ; Gages ; Neural networks ; Satellites ; CHIRPS ; High resolution satellites ; PERSIANN ; Precipitation estimation from remotely sensed information ; Satellite precipitation ; Satellite precipitation products ; Temporal and spatial scale ; Xinjiang ; Rain
英文摘要: To investigate the long-term characteristics of precipitation in Xinjiang, China, two long-term monthly satellite precipitation datasets called CHIRPS (Climate Hazards Group Infrared Precipitation with Stations data) and PERSIANN-CDR (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Climate Data Record) are evaluated and compared with in situ measurements from 105 meteorological stations for the period 1983–2014. The evaluation is performed at multiple temporal and spatial scales. Results based on comparisons with in situ measurements show that PERSIANN-CDR and CHIRPS have similar correlations. However, both of the BIAS and RMSE, CHIRPS outperformed PERSIANN-CDR with the smaller errors and bias. In terms of the long time-series comparison at temporal scale, CHIRPS is more accurate with gauge observations at monthly and annual scales while PERSIANN-CDR tends to overestimate the precipitation in the rain season (from May to September). Furthermore, compared with PERSIANN-CDR, results show that CHIRPS is more accurate in reflecting the spatial distribution of average monthly and annual precipitation. In summary, the study shows that CHIRPS is a valuable complement to gauge precipitation data and provides useful guidance when choosing satellite precipitation product for hydrometeorological applications in Xinjiang. © 2018 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108819
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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作者单位: College of Resources Environment & Tourism, Capital Normal University, Beijing, 100048, China; School of Mathematical Sciences, Capital Normal University, Beijing, 100048, China; Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang, 212013, China; State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; Institute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing, 100871, China

Recommended Citation:
Gao F.,Zhang Y.,Chen Q.,et al. Comparison of two long-term and high-resolution satellite precipitation datasets in Xinjiang, China[J]. Atmospheric Research,2018-01-01,212
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