Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR021201 |
genRE: A Method to Extend Gridded Precipitation Climatology Data Sets in Near Real-Time for Hydrological Forecasting Purposes | |
van Osnabrugge, B.1,2; Weerts, A. H.1,2; Uijlenhoet, R.2 | |
2017-11-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:11 |
文章类型 | Article |
语种 | 英语 |
国家 | Netherlands |
英文摘要 | To enable operational flood forecasting and drought monitoring, reliable and consistent methods for precipitation interpolation are needed. Such methods need to deal with the deficiencies of sparse operational real-time data compared to quality-controlled offline data sources used in historical analyses. In particular, often only a fraction of the measurement network reports in near real-time. For this purpose, we present an interpolation method, generalized REGNIE (genRE), which makes use of climatological monthly background grids derived from existing gridded precipitation climatology data sets. We show how genRE can be used to mimic and extend climatological precipitation data sets in near real-time using (sparse) real-time measurement networks in the Rhine basin upstream of the Netherlands (approximately 160,000 km(2)). In the process, we create a 1.2 x 1.2 km transnational gridded hourly precipitation data set for the Rhine basin. Precipitation gauge data are collected, spatially interpolated for the period 1996-2015 with genRE and inverse-distance squared weighting (IDW), and then evaluated on the yearly and daily time scale against the HYRAS and EOBS climatological data sets. Hourly fields are compared qualitatively with RADOLAN radar-based precipitation estimates. Two sources of uncertainty are evaluated: station density and the impact of different background grids (HYRAS versus EOBS). The results show that the genRE method successfully mimics climatological precipitation data sets (HYRAS/EOBS) over daily, monthly, and yearly time frames. We conclude that genRE is a good interpolation method of choice for real-time operational use. genRE has the largest added value over IDW for cases with a low real-time station density and a high-resolution background grid. |
英文关键词 | gridded precipitation data sets real time hydrological forecasting generalized REGNIE Rhine basin transnational |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000418736700035 |
WOS关键词 | RAINFALL ; RESOLUTION ; MODEL ; PERFORMANCE ; INTERPOLATION |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20094 |
专题 | 资源环境科学 |
作者单位 | 1.Deltares, Operat Water Management Dept, Delft, Netherlands; 2.Wageningen Univ & Res, Dept Environm Sci, Hydrol & Quantitat Water Management Grp, Wageningen, Netherlands |
推荐引用方式 GB/T 7714 | van Osnabrugge, B.,Weerts, A. H.,Uijlenhoet, R.. genRE: A Method to Extend Gridded Precipitation Climatology Data Sets in Near Real-Time for Hydrological Forecasting Purposes[J]. WATER RESOURCES RESEARCH,2017,53(11). |
APA | van Osnabrugge, B.,Weerts, A. H.,&Uijlenhoet, R..(2017).genRE: A Method to Extend Gridded Precipitation Climatology Data Sets in Near Real-Time for Hydrological Forecasting Purposes.WATER RESOURCES RESEARCH,53(11). |
MLA | van Osnabrugge, B.,et al."genRE: A Method to Extend Gridded Precipitation Climatology Data Sets in Near Real-Time for Hydrological Forecasting Purposes".WATER RESOURCES RESEARCH 53.11(2017). |
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