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Title: Development of fine-resolution analyses and expanded large-scale forcing properties. Part II: Scale-awareness and application to single-column model experiments

Journal Article · · Journal of Geophysical Research: Atmospheres
DOI:https://doi.org/10.1002/2014JD022254· OSTI ID:1182517
 [1];  [2];  [3];  [2];  [2];  [4];  [2];  [2]
  1. Univ. of California at Los Angeles, Los Angeles, CA (United States); California Inst. of Technology, Pasadena, CA (United States)
  2. Brookhaven National Lab. (BNL), Upton, NY (United States)
  3. California Inst. of Technology (CalTech), Pasadena, CA (United States); Univ. of California at Los Angeles, Los Angeles, CA (United States)
  4. Stony Brook Univ., NY (United States)

Abstract Fine‐resolution three‐dimensional fields have been produced using the Community Gridpoint Statistical Interpolation (GSI) data assimilation system for the U.S. Department of Energy's Atmospheric Radiation Measurement Program (ARM) Southern Great Plains region. The GSI system is implemented in a multiscale data assimilation framework using the Weather Research and Forecasting model at a cloud‐resolving resolution of 2 km. From the fine‐resolution three‐dimensional fields, large‐scale forcing is derived explicitly at grid‐scale resolution; a subgrid‐scale dynamic component is derived separately, representing subgrid‐scale horizontal dynamic processes. Analyses show that the subgrid‐scale dynamic component is often a major component over the large‐scale forcing for grid scales larger than 200 km. The single‐column model (SCM) of the Community Atmospheric Model version 5 is used to examine the impact of the grid‐scale and subgrid‐scale dynamic components on simulated precipitation and cloud fields associated with a mesoscale convective system. It is found that grid‐scale size impacts simulated precipitation, resulting in an overestimation for grid scales of about 200 km but an underestimation for smaller grids. The subgrid‐scale dynamic component has an appreciable impact on the simulations, suggesting that grid‐scale and subgrid‐scale dynamic components should be considered in the interpretation of SCM simulations.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
SC00112704
OSTI ID:
1182517
Alternate ID(s):
OSTI ID: 1402210
Report Number(s):
BNL-107505-2015-JA; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000
Journal Information:
Journal of Geophysical Research: Atmospheres, Vol. 120, Issue 2; ISSN 2169-897X
Publisher:
American Geophysical UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 5 works
Citation information provided by
Web of Science

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