干旱区生态环境知识资源中心(Arid): Satellite-Based Precipitation Datasets Evaluation Using Gauge Observation and Hydrological Modeling in a Typical Arid Land Watershed of Central Asia

Arid

DOI	10.3390/rs13020221
	Satellite-Based Precipitation Datasets Evaluation Using Gauge Observation and Hydrological Modeling in a Typical Arid Land Watershed of Central Asia
	Peng, Jiabin; Liu, Tie; Huang, Yue; Ling, Yunan; Li, Zhengyang; Bao, Anming; Chen, Xi; Kurban, Alishir; De Maeyer, Philippe
通讯作者	Liu, T (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China. ; Liu, T (corresponding author), Key Lab GIS & RS Applicat, Urumqi 830011, Xinjiang Uygur, Peoples R China. ; Liu, T (corresponding author), Sino Belgian Joint Lab Geoinformat, Urumqi 830011, Peoples R China. ; Liu, T (corresponding author), Sino Belgian Joint Lab Geoinformat, B-9000 Ghent, Belgium. ; Liu, T (corresponding author), CAS Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:2
英文摘要	Hydrological modeling has always been a challenge in the data-scarce watershed, especially in the areas with complex terrain conditions like the inland river basin in Central Asia. Taking Bosten Lake Basin in Northwest China as an example, the accuracy and the hydrological applicability of satellite-based precipitation datasets were evaluated. The gauge-adjusted version of six widely used datasets was adopted; namely, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (CDR), Climate Hazards Group Infrared Precipitation with Stations (CHIRPS), Global Precipitation Measurement Ground Validation National Oceanic and Atmospheric Administration Climate Prediction Center (NOAA CPC) Morphing Technique (CMORPH), Integrated Multi-Satellite Retrievals for GPM (GPM), Global Satellite Mapping of Precipitation (GSMaP), the Tropical Rainfall Measuring Mission (TRMM) and Multi-satellite Precipitation Analysis (TMPA). Seven evaluation indexes were used to compare the station data and satellite datasets, the soil and water assessment tool (SWAT) model, and four indexes were used to evaluate the hydrological performance. The main results were as follows: 1) The GPM and CDR were the best datasets for the daily scale and monthly scale rainfall accuracy evaluations, respectively. 2) The performance of CDR and GPM was more stable than others at different locations in a watershed, and all datasets tended to perform better in the humid regions. 3) All datasets tended to perform better in the summer of a year, while the CDR and CHIRPS performed well in winter compare to other datasets. 4) The raw data of CDR and CMORPH performed better than others in monthly runoff simulations, especially CDR. 5) Integrating the hydrological performance of the uncorrected and corrected data, all datasets have the potential to provide valuable input data in hydrological modeling. This study is expected to provide a reference for the hydrological and meteorological application of satellite precipitation datasets in Central Asia or even the whole temperate zone.
英文关键词	satellite datasets accuracy evaluation hydrological applicability SWAT Bosten Lake Basin
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000611554200001
WOS关键词	RIVER-BASIN ; REAL-TIME ; SWAT MODEL ; RAINFALL ; PRODUCTS ; CLIMATE ; TMPA ; BIAS ; SIMULATIONS ; VARIABILITY
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/348126
作者单位	[Peng, Jiabin; Liu, Tie; Huang, Yue; Ling, Yunan; Li, Zhengyang; Bao, Anming; Chen, Xi; Kurban, Alishir] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Peng, Jiabin; Liu, Tie; Huang, Yue; Ling, Yunan; Li, Zhengyang; Bao, Anming] Key Lab GIS & RS Applicat, Urumqi 830011, Xinjiang Uygur, Peoples R China; [Peng, Jiabin; Ling, Yunan; Li, Zhengyang; De Maeyer, Philippe] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Peng, Jiabin; Ling, Yunan; De Maeyer, Philippe] Univ Ghent, Dept Geog, B-9000 Ghent, Belgium; [Peng, Jiabin; Liu, Tie; Huang, Yue; Ling, Yunan; Bao, Anming; Chen, Xi; Kurban, Alishir; De Maeyer, Philippe] Sino Belgian Joint Lab Geoinformat, Urumqi 830011, Peoples R China; [Peng, Jiabin; Liu, Tie; Huang, Yue; Ling, Yunan; Bao, Anming; Chen, Xi; Kurban, Alishir; De Maeyer, Philippe] Sino Belgian Joint Lab Geoinformat, B-9000 Ghent, Belgium; [Liu, Tie; Huang, Yue; Chen, Xi] CAS Res Ctr Ecol & Environm Cent Asia, Urumqi 830011,...
推荐引用方式 GB/T 7714	Peng, Jiabin,Liu, Tie,Huang, Yue,et al. Satellite-Based Precipitation Datasets Evaluation Using Gauge Observation and Hydrological Modeling in a Typical Arid Land Watershed of Central Asia[J]. 中国科学院新疆生态与地理研究所,2021,13(2).
APA	Peng, Jiabin.,Liu, Tie.,Huang, Yue.,Ling, Yunan.,Li, Zhengyang.,...&De Maeyer, Philippe.(2021).Satellite-Based Precipitation Datasets Evaluation Using Gauge Observation and Hydrological Modeling in a Typical Arid Land Watershed of Central Asia.REMOTE SENSING,13(2).
MLA	Peng, Jiabin,et al."Satellite-Based Precipitation Datasets Evaluation Using Gauge Observation and Hydrological Modeling in a Typical Arid Land Watershed of Central Asia".REMOTE SENSING 13.2(2021).