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Title: Development of fine-resolution analyses and expanded large-scale forcing properties. Part I: Methodology and evaluation

Journal Article · · Journal of Geophysical Research: Atmospheres
DOI:https://doi.org/10.1002/2014JD022245· OSTI ID:1182516
 [1];  [2];  [3];  [2];  [2];  [4];  [2];  [2]
  1. California Inst. of Technology (CalTech), Pasadena, CA (United States); Univ. of California at Los Angeles, Los Angeles, CA (United States)
  2. Brookhaven National Lab. (BNL), Upton, NY (United States)
  3. Univ. of California at Los Angeles, Los Angeles, CA (United States); California Inst. of Technology (CalTech), Pasadena, CA (United States)
  4. Stony Brook Univ., NY (United States)
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We produce fine-resolution, three-dimensional fields of meteorological and other variables for the U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) Southern Great Plains site. The Community Gridpoint Statistical Interpolation system is implemented in a multiscale data assimilation (MS-DA) framework that is used within the Weather Research and Forecasting model at a cloud-resolving resolution of 2 km. The MS-DA algorithm uses existing reanalysis products and constrains fine-scale atmospheric properties by assimilating high-resolution observations. A set of experiments show that the data assimilation analysis realistically reproduces the intensity, structure, and time evolution of clouds and precipitation associated with a mesoscale convective system. Evaluations also show that the large-scale forcing derived from the fine-resolution analysis has an overall accuracy comparable to the existing ARM operational product. For enhanced applications, the fine-resolution fields are used to characterize the contribution of subgrid variability to the large-scale forcing and to derive hydrometeor forcing, which are presented in companion papers.

Research Organization:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
SC00112704
OSTI ID:
1182516
Report Number(s):
BNL-107504-2015-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: 12 works
Citation information provided by
Web of Science

References (38)

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Constrained Variational Analysis of Sounding Data Based on Column-Integrated Budgets of Mass, Heat, Moisture, and Momentum: Approach and Application to ARM Measurements journal June 1997

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