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
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 clima...
Saved in:
Main Authors: | Bin Liu, Katelyn B. Costa, Lian Xie, Fredrick H. M. Semazzi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2014/897246 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Regional Climate Change: Downscaling, Prediction, and Impact Assessment
by: Lian Xie, et al.
Published: (2015-01-01) -
Short‐Term Memory and Regional Climate Drive City‐Scale Water Demand in the Contiguous US
by: Wenjin Hao, et al.
Published: (2025-01-01) -
A Numerical Investigation of the Precipitation over Lake Victoria Basin Using a Coupled Atmosphere-Lake Limited-Area Model
by: Xia Sun, et al.
Published: (2014-01-01) -
Machine Learning as a Downscaling Approach for Prediction of Wind Characteristics under Future Climate Change Scenarios
by: Abbas Yeganeh-Bakhtiary, et al.
Published: (2022-01-01) -
Data Assimilation in Numerical Weather and Climate Models
by: Shaoqing Zhang, et al.
Published: (2015-01-01)