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Climate Change Trend Analysis on Ext...

Cawthorne, Dylan Luke.

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Climate Change Trend Analysis on Extreme Precipitation over Shasta Dam Watershed Based on 159-Year Long-Term Dynamic Downscaling.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Climate Change Trend Analysis on Extreme Precipitation over Shasta Dam Watershed Based on 159-Year Long-Term Dynamic Downscaling./
作者:	Cawthorne, Dylan Luke.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	46 p.
附註:	Source: Masters Abstracts International, Volume: 55-05.
Contained By:	Masters Abstracts International55-05(E).
標題:	Civil engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10124479
ISBN:	9781339825878

Climate Change Trend Analysis on Extreme Precipitation over Shasta Dam Watershed Based on 159-Year Long-Term Dynamic Downscaling.
Cawthorne, Dylan Luke.

Climate Change Trend Analysis on Extreme Precipitation over Shasta Dam Watershed Based on 159-Year Long-Term Dynamic Downscaling. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 46 p.

Source: Masters Abstracts International, Volume: 55-05.

Thesis (M.S.)--University of California, Davis, 2016.

California's interconnected water system is one of the most advanced water management systems in the world, and understanding of long-term trends in atmospheric and hydrologic behavior is increasingly being seen as vital to its future well-being. Knowledge of such trends is hampered by the lack of long period observation data and the uncertainty surrounding future projections of atmospheric models. This study examines historical precipitation trends over Shasta Dam Watershed (SDW), which lies upstream of one of the most important aspects of California's water system, Shasta Dam, using a dynamic downscaling methodology that can obtain reconstructed climate data at fine time-space scales. The methodology for reconstructing historical precipitation data over SDW started with the coarse-resolution historical 2 degree 20th Century Project (20CRv2c) reanalysis dataset from NOAA and CIRES. The Weather Research and Forecasting (WRF) model was then used to produce 159 years (1852- 2010) of long-term reconstructed hourly precipitation data at a 3 km spatial resolution over SDW. Trend analysis on this data indicated an increase in total precipitation over the study period as well as a growing intensity of extreme events such as 6, 12, 24, 48, and 72 hour storms. These results both inform long-term planning decisions regarding the future of Shasta Dam and California's water system and validate a methodology that can be used in data-sparse basins around the world.

ISBN: 9781339825878Subjects--Topical Terms:

860360
Civil engineering.

Climate Change Trend Analysis on Extreme Precipitation over Shasta Dam Watershed Based on 159-Year Long-Term Dynamic Downscaling.
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