Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s00704-016-1784-z |
Disaggregating radar-derived rainfall measurements in East Azarbaijan, Iran, using a spatial random-cascade model | |
Osgouei, Hojjatollah Fouladi1,2; Zarghami, Mahdi1,3,4; Ashouri, Hamed5 | |
通讯作者 | Zarghami, Mahdi |
来源期刊 | THEORETICAL AND APPLIED CLIMATOLOGY
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ISSN | 0177-798X |
EISSN | 1434-4483 |
出版年 | 2017 |
卷号 | 129期号:1-2页码:427-435 |
英文摘要 | The availability of spatial, high-resolution rainfall data is one of the most essential needs in the study of water resources. These data are extremely valuable in providing flood awareness for dense urban and industrial areas. The first part of this paper applies an optimization-based method to the calibration of radar data based on ground rainfall gauges. Then, the climatological Z-R relationship for the Sahand radar, located in the East Azarbaijan province of Iran, with the help of three adjacent rainfall stations, is obtained. The new climatological Z-R relationship with a power-law form shows acceptable statistical performance, making it suitable for radar-rainfall estimation by the Sahand radar outputs. The second part of the study develops a new heterogeneous random-cascade model for spatially disaggregating the rainfall data resulting from the power-law model. This model is applied to the radar-rainfall image data to disaggregate rainfall data with coverage area of 512 x 512 km(2) to a resolution of 32 x 32 km(2). Results show that the proposed model has a good ability to disaggregate rainfall data, which may lead to improvement in precipitation forecasting, and ultimately better water-resources management in this arid region, including Urmia Lake. |
类型 | Article |
语种 | 英语 |
国家 | Iran ; USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000403666400032 |
WOS关键词 | PING RIVER-BASIN ; PRECIPITATION ; SIMULATION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/202674 |
作者单位 | 1.Univ Tabriz, Fac Civil Engn, Tabriz 51666, Iran; 2.East Azarbaijan Reg Water Co, Tabriz 51569, Iran; 3.Tufts Univ, Dept Civil & Environm Engn, Medford, MA 02155 USA; 4.MIT, Sociotech Syst Res Ctr, Cambridge, MA 02142 USA; 5.Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA |
推荐引用方式 GB/T 7714 | Osgouei, Hojjatollah Fouladi,Zarghami, Mahdi,Ashouri, Hamed. Disaggregating radar-derived rainfall measurements in East Azarbaijan, Iran, using a spatial random-cascade model[J],2017,129(1-2):427-435. |
APA | Osgouei, Hojjatollah Fouladi,Zarghami, Mahdi,&Ashouri, Hamed.(2017).Disaggregating radar-derived rainfall measurements in East Azarbaijan, Iran, using a spatial random-cascade model.THEORETICAL AND APPLIED CLIMATOLOGY,129(1-2),427-435. |
MLA | Osgouei, Hojjatollah Fouladi,et al."Disaggregating radar-derived rainfall measurements in East Azarbaijan, Iran, using a spatial random-cascade model".THEORETICAL AND APPLIED CLIMATOLOGY 129.1-2(2017):427-435. |
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