DOI: 10.5194/hess-24-3451-2020
论文题名: Sensitivity of meteorological-forcing resolution on hydrologic variables
作者: Maina F.Z. ; Siirila-Woodburn E.R. ; Vahmani P.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期: 7 起始页码: 3451
结束页码: 3474
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
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). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162647
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
Maina F.Z.,Siirila-Woodburn E.R.,Vahmani P.. Sensitivity of meteorological-forcing resolution on hydrologic variables[J]. Hydrology and Earth System Sciences,2020-01-01,24(7)