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Title: Internal variability of a dynamically downscaled climate over North America

Journal Article · · Climate Dynamics
 [1];  [2];  [1];  [2];  [1]
  1. Argonne National Lab. (ANL), Argonne, IL (United States). Environmental Science Division
  2. Argonne National Lab. (ANL), Argonne, IL (United States). Mathematics and Computer Science Division

This study investigates the internal variability (IV) of a regional climate model, and considers the impacts of horizontal resolution and spectral nudging on the IV. A 16-member simulation ensemble was conducted using the Weather Research Forecasting model for three model configurations. Ensemble members included simulations at spatial resolutions of 50 km and 12 km without spectral nudging and simulations at a spatial resolution of 12 km with spectral nudging. All the simulations were generated over the same domain, which covered much of North America. The degree of IV was measured as the spread between the individual members of the ensemble during the integration period. The IV of the 12 km simulation with spectral nudging was also compared with a future climate change simulation projected by the same model configuration. The variables investigated focus on precipitation and near-surface air temperature. While the IVs show a clear annual cycle with larger values in summer and smaller values in winter, the seasonal IV is smaller for a 50-km spatial resolution than for a 12-km resolution when nudging is not applied. Applying a nudging technique to the 12-km simulation reduces the IV by a factor of two, and produces smaller IV than the simulation at 50 km without nudging. Applying a nudging technique also changes the geographic distributions of IV in all examined variables. The IV is much smaller than the inter-annual variability at seasonal scales for regionally averaged temperature and precipitation. The IV is also smaller than the projected changes in air-temperature for the mid- and late 21st century. However, the IV is larger than the projected changes in precipitation for the mid- and late 21st century.

Research Organization:
Argonne National Lab. (ANL), Argonne, IL (United States); Ames Lab., Ames, IA (United States)
Sponsoring Organization:
USDOE Office of Science (SC); USDOD
Grant/Contract Number:
AC02-06CH11357
OSTI ID:
1429906
Alternate ID(s):
OSTI ID: 1411037
Journal Information:
Climate Dynamics, Vol. 50, Issue 11-12; ISSN 0930-7575
Publisher:
Springer-VerlagCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 3 works
Citation information provided by
Web of Science

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