Dynamical Downscaling of Climate Change Impacts on Wind Energy Resources in the Contiguous United States by Using a Limited-Area Model with Scale-Selective Data Assimilation
Joint Authors
Liu, Bin
Costa, Katelyn B.
Semazzi, Fredrick H. M.
Xie, Lian
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
By using a limited-area model (LAM) in combination with the scale-selective data assimilation (SSDA) approach, wind energy resources in the contiguous United States (CONUS) were downscaled from IPCC CCSM3 global model projections for both current and future climate conditions.
An assessment of climate change impacts on wind energy resources in the CONUS region was then conducted.
Based on the downscaling results, when projecting into future climate under IPCC’s A1B scenario, the average annual wind speed experiences an overall shift across the CONUS region.
From the current climate to the 2040s, the average annual wind speed is expected to increase from 0.1 to 0.2 m s−1 over the Great Plains, Northern Great Lakes Region, and Southwestern United States located southwest of the Rocky Mountains.
When projecting into the 2090s from current climate, there is an overall increase in the Great Plains Region and Southwestern United States located southwest of the Rockies with a mean wind speed increase between 0 and 0.1 m s−1, while, the Northern Great Lakes Region experiences an even greater increase from current climate to 2090s than over the first few decades with an increase of mean wind speed from 0.1 to 0.4 m s−1.
American Psychological Association (APA)
Liu, Bin& Costa, Katelyn B.& Xie, Lian& Semazzi, Fredrick H. M.. 2014. Dynamical Downscaling of Climate Change Impacts on Wind Energy Resources in the Contiguous United States by Using a Limited-Area Model with Scale-Selective Data Assimilation. Advances in Meteorology،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1034222
Modern Language Association (MLA)
Liu, Bin…[et al.]. Dynamical Downscaling of Climate Change Impacts on Wind Energy Resources in the Contiguous United States by Using a Limited-Area Model with Scale-Selective Data Assimilation. Advances in Meteorology No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1034222
American Medical Association (AMA)
Liu, Bin& Costa, Katelyn B.& Xie, Lian& Semazzi, Fredrick H. M.. Dynamical Downscaling of Climate Change Impacts on Wind Energy Resources in the Contiguous United States by Using a Limited-Area Model with Scale-Selective Data Assimilation. Advances in Meteorology. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1034222
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034222