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DOI	10.5194/hess-23-1453-2019
	Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River
	Van Osnabrugge B.; Uijlenhoet R.; Weerts A.
发表日期	2019
ISSN	1027-5606
起始页码	1453
结束页码	1467
卷号	23 期号:3
英文摘要	Medium-term hydrologic forecast uncertainty is strongly dependent on the forecast quality of meteorological variables. Of these variables, the influence of precipitation has been studied most widely, while temperature, radiative forcing and their derived product potential evapotranspiration (PET) have received little attention from the perspective of hydrological forecasting. This study aims to fill this gap by assessing the usability of potential evaporation forecasts for 10-day-ahead streamflow forecasting in the Rhine basin, Europe. In addition, the forecasts of the meteorological variables are compared with observations. Streamflow reforecasts were performed with the daily wflow-hbv model used in previous studies of the Rhine using the ECMWF 20-year meteorological reforecast dataset. Meteorological forecasts were compared with observed rainfall, temperature, global radiation and potential evaporation for 148 subbasins. Secondly, the effect of using PET climatology versus using observation-based estimates of PET was assessed for hydrological state and for streamflow forecast skill. We find that (1) there is considerable skill in the ECMWF reforecasts to predict PET for all seasons, and (2) using dynamical PET forcing based on observed temperature and satellite global radiation estimates results in lower evaporation and wetter initial states, but (3) the effect on forecasted 10-day streamflow is limited. Implications of this finding are that it is reasonable to use meteorological forecasts to forecast potential evaporation and use this is in mediumrange streamflow forecasts. However, it can be concluded that an approach using PET climatology is also sufficient, most probably not only for the application shown here, but also for most models similar to the HBV concept and for moderate climate zones. As a by-product, this research resulted in gridded datasets for temperature, radiation and potential evaporation based on the Makkink equation for the Rhine basin. The datasets have a spatial resolution of 1.2×1.2 km and an hourly time step for the period from July 1996 through 2015. This dataset complements an earlier precipitation dataset for the same area, period and resolution. © 2019 Author(s).
语种	英语
scopus关键词	Atmospheric radiation; Climate models; Climatology; Evaporation; Evapotranspiration; Precipitation (meteorology); Solar radiation; Stream flow; Forecast uncertainty; Hydrological forecasting; Meteorological variables; Potential evaporation; Potential evapotranspiration; Radiative forcings; Streamflow forecast; Streamflow forecasting; Weather forecasting; climate modeling; hydrological regime; potential evapotranspiration; radiative forcing; spatial resolution; streamflow; temperature profile; weather forecasting; Rhine River; Hepatitis B virus
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159729
作者单位	Van Osnabrugge, B., Deltares, Operational Water Management Department, Delft, Netherlands, Wageningen University, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands; Uijlenhoet, R., Wageningen University, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands; Weerts, A., Deltares, Operational Water Management Department, Delft, Netherlands, Wageningen University, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands
推荐引用方式 GB/T 7714	Van Osnabrugge B.,Uijlenhoet R.,Weerts A.. Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River[J],2019,23(3).
APA	Van Osnabrugge B.,Uijlenhoet R.,&Weerts A..(2019).Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River.Hydrology and Earth System Sciences,23(3).
MLA	Van Osnabrugge B.,et al."Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River".Hydrology and Earth System Sciences 23.3(2019).