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Regional Dynamical Downscaling and the CORDEX Initiative

Annual review of environment and resources, 2015-11, Vol.40 (1), p.467-490 [Tạp chí có phản biện]

Copyright © 2015 by Annual Reviews. All rights reserved 2015 ;ISSN: 1543-5938 ;EISSN: 1545-2050 ;DOI: 10.1146/annurev-environ-102014-021217

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  • Nhan đề:
    Regional Dynamical Downscaling and the CORDEX Initiative
  • Tác giả: Giorgi, Filippo ; Gutowski, William J
  • Chủ đề: climate change ; CORDEX ; downscaling added value ; dynamical downscaling ; high-resolution modeling ; model evaluation ; RCM ; regional climate ; regional climate modeling ; regional Earth system modeling
  • Là 1 phần của: Annual review of environment and resources, 2015-11, Vol.40 (1), p.467-490
  • Mô tả: We review the challenges and future perspectives of regional climate model (RCM), or dynamical downscaling, activities. Among the main technical issues in need of better understanding are those of selection and sensitivity to the model domain and resolution, techniques for providing lateral boundary conditions, and RCM internal variability. The added value (AV) obtained with the use of RCMs remains a central issue, which needs more rigorous and comprehensive analysis strategies. Within the context of regional climate projections, large ensembles of simulations are needed to better understand the models and characterize uncertainties. This has provided an impetus for the development of the Coordinated Regional Downscaling Experiment (CORDEX), the first international program offering a common protocol for downscaling experiments, and we discuss how CORDEX can address the key scientific challenges in downscaling research. Among the main future developments in RCM research, we highlight the development of coupled regional Earth system models and the transition to very high-resolution, cloud-resolving models.
  • Nơi xuất bản: Annual Reviews
  • Ngôn ngữ: English
  • Số nhận dạng: ISSN: 1543-5938
    EISSN: 1545-2050
    DOI: 10.1146/annurev-environ-102014-021217
  • Nguồn: Annual Reviews Open Access
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