| 项目编号: | 1725789
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| 项目名称: | EAR-PF Near-real time monitoring and prediction of snowpack drought over Sierra Nevada, California |
| 作者: | Laurie Huning
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| 承担单位: | Huning Laurie S
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| 批准年: | 2017
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| 开始日期: | 2017-07-01
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| 结束日期: | 2019-06-30
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| 资助金额: | 87000
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| 资助来源: | US-NSF
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| 项目类别: | Fellowship
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Geosciences - Earth Sciences
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| 英文关键词: | california
; drought monitoring system
; critical drought indicator
; hydrologically-significant sierra nevada
; drought monitoring framework
; near-real time map
; drought characteristic
; project
; snowpack drought
; snow drought
; nsf earth sciences postdoctoral fellowship
; drought persistence
; drought severity
; near-term forecast
; snowpack deficit
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| 英文摘要: | Dr. Laurie Huning has been awarded an NSF Earth Sciences Postdoctoral Fellowship to work at the University of California, Irvine investigating snowpack droughts across mountainous terrain. Regions in the western United States such as California greatly rely on snowmelt from mountainous regions for a significant fraction of their water resources and drought in California is not uncommon. Nonetheless, the incorporation of snow information into drought monitoring frameworks remains largely unexplored. It is expected that the project will advance the knowledge of drought characteristics across snow-dominated mountainous terrain and provide insight into water availability and the probability of drought persistence that would be useful to the broader community.
The project aims to develop a better understanding of snow water equivalent (SWE) as a critical drought indicator, which is important for achieving water security in regions that depend on snowmelt-derived water resources. The PI will characterize and diagnose the evolution of snow droughts across the hydrologically-significant Sierra Nevada. Physical and statistical methods, remote sensing, and reanalyses will be used to address science questions related to the spatial and temporal variability of hydrological and meteorological processes and states (e.g. SWE/snowfall, streamflow, temperature, etc.). Such efforts will move toward improved drought monitoring systems and metrics, near-term forecasts, and long-term climate analysis in mountainous regions where snow is important. This project will generate high-resolution, near-real time maps of the snowpack to characterize snowpack deficits, drought severity, and water storage that can be used for water resources management and environmental hazard mitigation. The incorporation of distributed snow information into a drought monitoring system will further the knowledge of processes related to snow hydrology, mountain meteorology, and hydrologic extremes and climatology. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/89915
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| Appears in Collections: | 全球变化的国际研究计划
科学计划与规划
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| Recommended Citation: | |
Laurie Huning. EAR-PF Near-real time monitoring and prediction of snowpack drought over Sierra Nevada, California. 2017-01-01.
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