气候变化领域集成服务门户(CCPortal): Flexible vector-based spatial configurations in land models

CCPortal

DOI	10.5194/hess-24-5953-2020
	Flexible vector-based spatial configurations in land models
	Gharari S.; Clark M.P.; Mizukami N.; Knoben W.J.M.; Wong J.S.; Pietroniro A.
发表日期	2020
ISSN	1027-5606
起始页码	5953
结束页码	5971
卷号	24 期号:12
英文摘要	Land models are increasingly used in terrestrial hydrology due to their process-oriented representation of water and energy fluxes. A priori specification of the grid size of the land models is typically defined based on the spatial resolution of forcing data, the modeling objectives, the available geospatial information, and computational resources. The variability of the inputs, soil types, vegetation covers, and forcing is masked or aggregated based on the a priori grid size. In this study, we propose an alternative vector-based implementation to directly configure a land model using unique combinations of land cover types, soil types, and other desired geographical features that have hydrological significance, such as elevation zone, slope, and aspect. The main contributions of this paper are to (1) implement the vector-based spatial configuration using the Variable Infiltration Capacity (VIC) model; (2) illustrate how the spatial configuration of the model affects simulations of basin-average quantities (i.e., streamflow) as well as the spatial variability of internal processes (snow water equivalent, SWE, and evapotranspiration, ET); and (3) describe the work and challenges ahead to improve the spatial structure of land models. Our results show that a model configuration with a lower number of computational units, once calibrated, may have similar accuracy to model configurations with more computational units. However, the different calibrated parameter sets produce a range of, sometimes contradicting, internal states and fluxes. To better address the shortcomings of the current generation of land models, we encourage the land model community to adopt flexible spatial configurations to improve model representations of fluxes and states at the scale of interest. © 2020 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	Earth sciences; Hydrology; Computational resources; Geo-spatial informations; Geographical features; Model representation; Snow water equivalent; Spatial configuration; Variable infiltration capacity models; Water and energy fluxes; Snow; calibration; hydrological modeling; hydrology; infiltration; land cover; numerical model; spatial analysis; spatial variation
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/159231
作者单位	Gharari, S., Centre for Hydrology, University of Saskatchewan, Canmore, Alberta, Canada; Clark, M.P., Centre for Hydrology, University of Saskatchewan, Canmore, Alberta, Canada; Mizukami, N., National Center for Atmospheric Research, Boulder, Colorado, United States; Knoben, W.J.M., Centre for Hydrology, University of Saskatchewan, Canmore, Alberta, Canada; Wong, J.S., Global Institute for Water Security, University of Saskatchewan, Saskatoon, Saskatchewan, Canada; Pietroniro, A., Department of Civil Engineering, University of Calgary, Calgary, Alberta, Canada
推荐引用方式 GB/T 7714	Gharari S.,Clark M.P.,Mizukami N.,et al. Flexible vector-based spatial configurations in land models[J],2020,24(12).
APA	Gharari S.,Clark M.P.,Mizukami N.,Knoben W.J.M.,Wong J.S.,&Pietroniro A..(2020).Flexible vector-based spatial configurations in land models.Hydrology and Earth System Sciences,24(12).
MLA	Gharari S.,et al."Flexible vector-based spatial configurations in land models".Hydrology and Earth System Sciences 24.12(2020).