气候变化领域集成服务门户(CCPortal): Global catchment modelling using World-Wide HYPE (WWH); open data; and stepwise parameter estimation

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DOI	10.5194/hess-24-535-2020
	Global catchment modelling using World-Wide HYPE (WWH); open data; and stepwise parameter estimation
	Arheimer B.; Pimentel R.; Isberg K.; Crochemore L.; Andersson J.C.M.; Hasan A.; Pineda L.
发表日期	2020
ISSN	1027-5606
起始页码	535
结束页码	559
卷号	24 期号:2
英文摘要	Recent advancements in catchment hydrology (such as understanding catchment similarity, accessing new data sources, and refining methods for parameter constraints) make it possible to apply catchment models for ungauged basins over large domains. Here we present a cutting-edge case study applying catchment-modelling techniques with evaluation against river flow at the global scale for the first time. The modelling procedure was challenging but doable, and even the first model version showed better performance than traditional gridded global models of river flow. We used the open-source code of the HYPE model and applied it for >130 000 catchments (with an average resolution of 1000 km2), delineated to cover the Earth's landmass (except Antarctica). The catchments were characterized using 20 open databases on physiographical variables, to account for spatial and temporal variability of the global freshwater resources, based on exchange with the atmosphere (e.g. precipitation and evapotranspiration) and related budgets in all compartments of the land (e.g. soil, rivers, lakes, glaciers, and floodplains), including water stocks, residence times, and the pathways between various compartments. Global parameter values were estimated using a stepwise approach for groups of parameters regulating specific processes and catchment characteristics in representative gauged catchments. Daily and monthly time series (>10 years) from 5338 gauges of river flow across the globe were used for model evaluation (half for calibration and half for independent validation), resulting in a median monthly KGE of 0.4. However, the World-Wide HYPE (WWH) model shows large variation in model performance, both between geographical domains and between various flow signatures. The model performs best (KGE >0.6) in the eastern USA, Europe, South-East Asia, and Japan, as well as in parts of Russia, Canada, and South America. The model shows overall good potential to capture flow signatures of monthly high flows, spatial variability of high flows, duration of low flows, and constancy of daily flow. Nevertheless, there remains large potential for model improvements, and we suggest both redoing the parameter estimation and reconsidering parts of the model structure for the next WWH version. This first model version clearly indicates challenges in large-scale modelling, usefulness of open data, and current gaps in process understanding. However, we also found that catchment modelling techniques can contribute to advance global hydrological predictions. Setting up a global catchment model has to be a long-term commitment as it demands many iterations; this paper shows a first version, which will be subjected to continuous model refinements in the future. WWH is currently shared with regional/local modellers to appreciate local knowledge. © 2020 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	Budget control; Catchments; Open Data; Open source software; Open systems; Rivers; Runoff; Stream flow; Catchment characteristics; Catchment hydrology; Continuous modeling; Fresh water resources; Hydrological prediction; Parameter constraints; Spatial and temporal variability; Spatial variability; Parameter estimation; catchment; data set; hydrological modeling; parameter estimation; river flow; Antarctica; Canada; Europe; Far East; Japan; Russian Federation; South America; United States
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/159508
作者单位	Arheimer, B., Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Folkborgsvägen 17, Norrköping, 60176, Sweden; Pimentel, R., Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Folkborgsvägen 17, Norrköping, 60176, Sweden, Edf. Leonardo da Vinci, University of Cordoba, Campus de Rabanales, Córdoba, 14071, Spain; Isberg, K., Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Folkborgsvägen 17, Norrköping, 60176, Sweden; Crochemore, L., Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Folkborgsvägen 17, Norrköping, 60176, Sweden; Andersson, J.C.M., Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Folkborgsvägen 17, Norrköping, 60176, Sweden; Hasan, A., Hydrology Research, Swedish Meteorological and Hydrological Institute (SMHI), Folkborgsvägen 17, Norrköping, 60176, Sweden, Department of Physical Geography and Ecosystem Science, Lund University Box 117, Lund, 221 00, Swed...
推荐引用方式 GB/T 7714	Arheimer B.,Pimentel R.,Isberg K.,et al. Global catchment modelling using World-Wide HYPE (WWH); open data; and stepwise parameter estimation[J],2020,24(2).
APA	Arheimer B..,Pimentel R..,Isberg K..,Crochemore L..,Andersson J.C.M..,...&Pineda L..(2020).Global catchment modelling using World-Wide HYPE (WWH); open data; and stepwise parameter estimation.Hydrology and Earth System Sciences,24(2).
MLA	Arheimer B.,et al."Global catchment modelling using World-Wide HYPE (WWH); open data; and stepwise parameter estimation".Hydrology and Earth System Sciences 24.2(2020).