气候变化领域集成服务门户(CCPortal): Assessing the value of seasonal hydrological forecasts for improving water resource management: Insights from a pilot application in the UK

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DOI	10.5194/hess-24-6059-2020
	Assessing the value of seasonal hydrological forecasts for improving water resource management: Insights from a pilot application in the UK
	Peñuela A.; Hutton C.; Pianosi F.
发表日期	2020
ISSN	1027-5606
起始页码	6059
结束页码	6073
卷号	24 期号:12
英文摘要	Improved skill of long-range weather forecasts has motivated an increasing effort towards developing seasonal hydrological forecasting systems across Europe. Among other purposes, such forecasting systems are expected to support better water management decisions. In this paper we evaluate the potential use of a real-time optimization system (RTOS) informed by seasonal forecasts in a water supply system in the UK. For this purpose, we simulate the performances of the RTOS fed by ECMWF seasonal forecasting systems (SEAS5) over the past 10 years, and we compare them to a benchmark operation that mimics the common practices for reservoir operation in the UK. We also attempt to link the improvement of system performances, i.e. the forecast value, to the forecast skill (measured by the mean error and the continuous ranked probability skill score) as well as to the bias correction of the meteorological forcing, the decision maker priorities, the hydrological conditions and the forecast ensemble size. We find that in particular the decision maker priorities and the hydrological conditions exert a strong influence on the forecast skill-value relationship. For the (realistic) scenario where the decision maker prioritizes the water resource availability over energy cost reductions, we identify clear operational benefits from using seasonal forecasts, provided that forecast uncertainty is explicitly considered by optimizing against an ensemble of 25 equiprobable forecasts. These operational benefits are also observed when the ensemble size is reduced up to a certain limit. However, when comparing the use of ECMWF-SEAS5 products to ensemble streamflow prediction (ESP), which is more easily derived from historical weather data, we find that ESP remains a hard-to-beat reference, not only in terms of skill but also in terms of value. © 2020 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	Cost reduction; Decision making; Decision support systems; Meteorology; Reservoirs (water); Water management; Water supply; Water supply systems; Historical weather datum; Hydrological condition; Hydrological forecasting; Meteorological forcing; Ranked probability skill scores; Real-time optimization; Streamflow prediction; Waterresource management; Weather forecasting; correction; forecasting method; hydrological modeling; optimization; prediction; probability; resource availability; streamflow; water management; water resource; Europe
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/159224
作者单位	Peñuela, A., Civil Engineering, University of Bristol, Bristol, BS8 1TR, United Kingdom; Hutton, C., Wessex Water Services Ltd, Bath, BA2 7WW, United Kingdom; Pianosi, F., Civil Engineering, University of Bristol, Bristol, BS8 1TR, United Kingdom, Cabot Institute, University of Bristol, Bristol, BS8 1UH, United Kingdom
推荐引用方式 GB/T 7714	Peñuela A.,Hutton C.,Pianosi F.. Assessing the value of seasonal hydrological forecasts for improving water resource management: Insights from a pilot application in the UK[J],2020,24(12).
APA	Peñuela A.,Hutton C.,&Pianosi F..(2020).Assessing the value of seasonal hydrological forecasts for improving water resource management: Insights from a pilot application in the UK.Hydrology and Earth System Sciences,24(12).
MLA	Peñuela A.,et al."Assessing the value of seasonal hydrological forecasts for improving water resource management: Insights from a pilot application in the UK".Hydrology and Earth System Sciences 24.12(2020).