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

Feng, Sha; Vogelmann, Andrew M.; Li, Zhijin; Liu, Yangang; Lin, Wuyin; Zhang, Minghua; Toto, Tami; Endo, Satoshi

doi:10.1002/2014JD022254

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

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Abstract

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.

Authors:

Feng, Sha ^[1]; Vogelmann, Andrew M. ^[2]; Li, Zhijin ^[3]; Liu, Yangang ^[2]; Lin, Wuyin ^[2]; Zhang, Minghua ^[4]; Toto, Tami ^[2]; Endo, Satoshi ^[2]

Univ. of California at Los Angeles, Los Angeles, CA (United States); California Inst. of Technology, Pasadena, CA (United States)
Brookhaven National Lab. (BNL), Upton, NY (United States)
California Inst. of Technology (CalTech), Pasadena, CA (United States); Univ. of California at Los Angeles, Los Angeles, CA (United States)
Stony Brook Univ., NY (United States)

Publication Date:: Tue Jan 20 00:00:00 EST 2015

Research Org.:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

OSTI Identifier:: 1182517

Alternate Identifier(s):: OSTI ID: 1402210

Report Number(s):: BNL-107505-2015-JA
Journal ID: ISSN 2169-897X; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000

Grant/Contract Number:: SC00112704

Resource Type:: Accepted Manuscript

Journal Name:: Journal of Geophysical Research: Atmospheres

Additional Journal Information:: Journal Volume: 120; Journal Issue: 2; Journal ID: ISSN 2169-897X

Publisher:: American Geophysical Union

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES

Citation Formats


                    Feng, Sha, Vogelmann, Andrew M., Li, Zhijin, Liu, Yangang, Lin, Wuyin, Zhang, Minghua, Toto, Tami, and Endo, Satoshi. Development of fine-resolution analyses and expanded large-scale forcing properties. Part II: Scale-awareness and application to single-column model experiments.  United States: N. p., 2015. 
Web.  doi:10.1002/2014JD022254.

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                    Feng, Sha, Vogelmann, Andrew M., Li, Zhijin, Liu, Yangang, Lin, Wuyin, Zhang, Minghua, Toto, Tami, & Endo, Satoshi. Development of fine-resolution analyses and expanded large-scale forcing properties. Part II: Scale-awareness and application to single-column model experiments.  United States.  https://doi.org/10.1002/2014JD022254

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                    Feng, Sha, Vogelmann, Andrew M., Li, Zhijin, Liu, Yangang, Lin, Wuyin, Zhang, Minghua, Toto, Tami, and Endo, Satoshi. Tue .  
"Development of fine-resolution analyses and expanded large-scale forcing properties. Part II: Scale-awareness and application to single-column model experiments".  United States.  https://doi.org/10.1002/2014JD022254.  https://www.osti.gov/servlets/purl/1182517.

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@article{osti_1182517,

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

  author       = {Feng, Sha and Vogelmann, Andrew M. and Li, Zhijin and Liu, Yangang and Lin, Wuyin and Zhang, Minghua and Toto, Tami and Endo, Satoshi},

  abstractNote = {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.},

  doi          = {10.1002/2014JD022254},

  journal      = {Journal of Geophysical Research: Atmospheres},

  number       = 2,

  volume       = 120,

  place        = {United States},

  year         = {Tue Jan 20 00:00:00 EST 2015},

  month        = {Tue Jan 20 00:00:00 EST 2015}

}

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