气候变化领域集成服务门户(CCPortal): Sensitivity of meteorological-forcing resolution on hydrologic variables

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DOI	10.5194/hess-24-3451-2020
	Sensitivity of meteorological-forcing resolution on hydrologic variables
	Maina F.Z.; Siirila-Woodburn E.R.; Vahmani P.
发表日期	2020
ISSN	1027-5606
起始页码	3451
结束页码	3474
卷号	24 期号:7
英文摘要	Projecting the spatiotemporal changes in water resources under a no-analog future climate requires physically based integrated hydrologic models which simulate the transfer of water and energy across the earth's surface. These models show promise in the context of unprecedented climate extremes given their reliance on the underlying physics of the system as opposed to empirical relationships. However, these techniques are plagued by several sources of uncertainty, including the inaccuracy of input datasets such as meteorological forcing. These datasets, usually derived from climate models or satellite-based products, are typically only resolved on the order of tens to hundreds of kilometers, while hydrologic variables of interest (e.g., discharge and groundwater levels) require a resolution at much smaller scales. In this work, a high-resolution hydrologic model is forced with various resolutions of meteorological forcing (0.5 to 40.5 km) generated by a dynamical downscaling analysis from the regional climate model Weather Research and Forecasting (WRF). The Cosumnes watershed, which spans the Sierra Nevada and Central Valley interface of California (USA), exhibits semi-natural flow conditions due to its rare undammed river basin and is used here as a test bed to illustrate potential impacts of various resolutions of meteorological forcing on snow accumulation and snowmelt, surface runoff, infiltration, evapotranspiration, and groundwater levels. Results show that the errors in spatial distribution patterns impact land surface processes and can be delayed in time. Localized biases in groundwater levels can be as large as 5-10m and 3m in surface water. Most hydrologic variables reveal that biases are seasonally and spatially dependent, which can have serious implications for model calibration and ultimately water management decisions. © 2020 Author(s).
语种	英语
scopus关键词	Earth (planet); Groundwater; Runoff; Water management; Weather forecasting; Dynamical downscaling; Empirical relationships; Meteorological forcing; Regional climate modeling; Sources of uncertainty; Spatial distribution patterns; Spatio-temporal changes; Weather research and forecasting; Climate models; climate forcing; climate modeling; data set; downscaling; extreme event; hydrological change; hydrological modeling; resolution; satellite altimetry; sensitivity analysis; spatiotemporal analysis; water level; weather forecasting; California; Central Valley [California]; Sierra Nevada [California]; 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/159357
作者单位	Maina, F.Z., Energy Geosciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, M. S. 74R-316C, Berkeley, CA 94704, United States; Siirila-Woodburn, E.R., Energy Geosciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, M. S. 74R-316C, Berkeley, CA 94704, United States; Vahmani, P., Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road,M. S. 74R-316C, Berkeley, CA 94704, United States
推荐引用方式 GB/T 7714	Maina F.Z.,Siirila-Woodburn E.R.,Vahmani P.. Sensitivity of meteorological-forcing resolution on hydrologic variables[J],2020,24(7).
APA	Maina F.Z.,Siirila-Woodburn E.R.,&Vahmani P..(2020).Sensitivity of meteorological-forcing resolution on hydrologic variables.Hydrology and Earth System Sciences,24(7).
MLA	Maina F.Z.,et al."Sensitivity of meteorological-forcing resolution on hydrologic variables".Hydrology and Earth System Sciences 24.7(2020).