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EAR-PF Near-real time monitoring and prediction of snowpack drought over Sierra Nevada, California

EAR-PF 加利福尼亚州内华达山脉积雪干旱的近实时监测和预测

基本信息

批准号：
1725789
负责人：
Laurie Huning
金额：
$ 8.7万
依托单位：
Huning Laurie S
依托单位国家：
美国
项目类别：
Fellowship Award
财政年份：
2017
资助国家：
美国
起止时间：
2017-07-01 至 2019-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1725789&HistoricalAwards=false
关键词：
EAR PF Near real time

项目摘要

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.

劳里·胡宁博士被授予美国国家科学基金会地球科学博士后奖学金，在加州大学欧文分校研究山区积雪干旱。美国西部地区，如加利福尼亚州，在很大程度上依赖山区的融雪，其水资源的很大一部分在加州并不少见。尽管如此，将降雪信息纳入干旱监测框架在很大程度上仍未得到探索。预计该项目将促进对积雪覆盖的山区干旱特征的了解，并提供对水资源可获得性和干旱持续概率的洞察，这将对更广泛的社区有用。该项目旨在更好地了解雪水当量(SWE)作为关键干旱指标的情况，这对依赖融雪水资源的地区实现水安全非常重要。PI将描述和诊断整个具有重要水文意义的内华达山脉的雪旱演变。将使用物理和统计方法、遥感和再分析来解决与水文和气象过程和状态(如SWE/降雪、径流、温度等)的时空变异性有关的科学问题。这些努力将朝着改善干旱监测系统和指标、短期预报以及在降雪重要的山区进行长期气候分析的方向发展。该项目将生成高分辨率、接近实时的积雪地图，以表征积雪不足、干旱严重程度和可用于水资源管理和减轻环境灾害的水储存。将分布式降雪信息纳入干旱监测系统将进一步加深对与积雪水文学、山区气象学、极端水文和气候学有关的过程的了解。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Mountain snowpack response to different levels of warming

DOI：
10.1073/pnas.1805953115
发表时间：
2018-10-23
期刊：
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
影响因子：
11.1
作者：
Huning, Laurie S.;AghaKouchak, Amir
通讯作者：
AghaKouchak, Amir

Characterizing snow drought conditions across the United States

描述美国各地的雪旱状况