English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Dynamical downscaling: Assessment of model system dependent retained and added variability for two different regional climate models

Rockel, B., Castro, C. L., Pielke, R. A., von Storch, H., & Leoncini, G. (2008). Dynamical downscaling: Assessment of model system dependent retained and added variability for two different regional climate models. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 113(D21): D21107. doi:10.1029/2007JD009461.

Item is

Files

show Files

Locators

show

Creators

hide
 Creators:
Rockel, Burkhardt1, Author
Castro, Christopher L.1, Author
Pielke, Roger A.1, Author
von Storch, Hans2, Author           
Leoncini, Giovanni1, Author
Affiliations:
1external, ou_persistent22              
2I 3 - Global High-Resolution Climate Reconstruction, Integrated Activities, The CliSAP Cluster of Excellence, External Organizations, Bundesstraße 53, 20146 Hamburg, DE, ou_1863494              

Content

hide
Free keywords: CONTIGUOUS UNITED-STATES; LIMITED-AREA MODEL; SUMMER CLIMATE; RAMS; REANALYSIS
 Abstract: In this paper, we compare the retained and added variability obtained using the regional climate model CLM (Climate version of the Local Model of the German Weather Service) to an earlier study using the RAMS (Regional Atmospheric Modeling System) model. Both models yield similar results for their standard configurations with a commonly used nudging technique applied to the driving model fields. Significantly both models do not adequately retain the large-scale variability in total kinetic energy with results poorer on a larger grid domain. Additional experiments with interior nudging, however, permit the retention of large-scale values for both models. The spectral nudging technique permits more added variability at smaller scales than a four-dimensional internal grid nudging on large domains. We also confirmed that dynamic downscaling does not retain (or increase) simulation skill of the large-scale fields over and beyond that which exists in the larger-scale model or reanalysis. Our conclusions should be relevant to all applications of dynamic downscaling for regional climate simulations.

Details

hide
Language(s): eng - English
 Dates: 2008
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000260788500003
DOI: 10.1029/2007JD009461
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

hide
Title: JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 113 (D21) Sequence Number: D21107 Start / End Page: - Identifier: ISSN: 2169-897X