中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Development and Evaluation of a River-Basin-Scale High Spatio-Temporal Precipitation Data Set Using the WRF Model: A Case Study of the Heihe River Basin

文献类型:期刊论文

作者Pan, Xiaoduo1; Li, Xin1; Cheng, Guodong1; Li, Hongyi1,2; He, Xiaobo1
刊名REMOTE SENSING
出版日期2015-07-01
卷号7期号:7页码:9230-9252
ISSN号2072-4292
DOI10.3390/rs70709230
通讯作者Li, Xin(lixin@lzb.ac.cn)
英文摘要To obtain long term accurate high resolution precipitation for the Heihe River Basin (HRB), Weather Research and Forecasting (WRF) model simulations were performed using two different initial boundary conditions, with nine microphysical processes for different analysis parameterization schemes. High spatial-temporal precipitation was simulated from 2000 to 2013 and a suitable set of initial, boundary, and micro parameters for the HRB was evaluated from the Heihe Watershed Allied Telemetry Experimental Research project and Chinese Meteorological Administration data at hourly, daily, monthly, and annual time scales using various statistical indicators. It was found that annual precipitation has gradually increased over the HRB since 2000. Precipitation mostly occurs in summer and is higher in monsoon-influenced areas. High elevations experience winter snowfall. Precipitation is higher in the eastern upstream area than in the western upstream, area; however, the converse occurs in winter. Precipitation gradually increases with elevation from 1000 m to 4000 m, and the maximum precipitation occurs at the height of 3500-4000 m, then the precipitation slowly decreases with elevation from 4000 m to the top over the Qilian Mountains. Precipitation is scare and has a high temporal variation in the downstream area. Results are systematically validated using the in situ observations in this region and it was found that precipitation simulated by the WRF model using suitable physical configuration agrees well with the observation over the HRB at hourly, daily, monthly and yearly scales, as well as at spatial pattern. We also conclude that the dynamic downscaling using the WRF model is capable of producing high-resolution and reliable precipitation over complex mountainous areas and extremely arid environments. The downscaled data can meet the requirement of river basin scale hydrological modeling and water balance analysis.
收录类别SCI
WOS关键词PRODUCTS ; STATES
WOS研究方向Remote Sensing
WOS类目Remote Sensing
语种英语
WOS记录号WOS:000360919900043
出版者MDPI AG
URI标识http://www.irgrid.ac.cn/handle/1471x/2557031
专题寒区旱区环境与工程研究所
通讯作者Li, Xin
作者单位1.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Peoples R China
2.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Pan, Xiaoduo,Li, Xin,Cheng, Guodong,et al. Development and Evaluation of a River-Basin-Scale High Spatio-Temporal Precipitation Data Set Using the WRF Model: A Case Study of the Heihe River Basin[J]. REMOTE SENSING,2015,7(7):9230-9252.
APA Pan, Xiaoduo,Li, Xin,Cheng, Guodong,Li, Hongyi,&He, Xiaobo.(2015).Development and Evaluation of a River-Basin-Scale High Spatio-Temporal Precipitation Data Set Using the WRF Model: A Case Study of the Heihe River Basin.REMOTE SENSING,7(7),9230-9252.
MLA Pan, Xiaoduo,et al."Development and Evaluation of a River-Basin-Scale High Spatio-Temporal Precipitation Data Set Using the WRF Model: A Case Study of the Heihe River Basin".REMOTE SENSING 7.7(2015):9230-9252.

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来源:寒区旱区环境与工程研究所

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