Input files and WRF run directory for a LASSO-CACTI simulation

Gustafson, William; Vogelmann, Andrew; Delgado, Mark; Endo, Satoshi; Schuman, Eddie; Toto, Tami; Varble, Adam; Xiao, Heng

doi:10.5439/1905809

Title: Input files and WRF run directory for a LASSO-CACTI simulation

Dataset
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Abstract

Tar file containing files necessary for reproducing a given Weather Research and Forecasting (WRF) simulation from the Large-Eddy Simulation (LES) Atmospheric Radiation Measurement (ARM) Symbiotic Simulation and Observation (LASSO) deep-convection scenario for the Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign. The LASSO-CACTI simulations span grid spacings from 7.5 km to 100 m for convection near the Sierras de Córdoba mountain range, roughly centered on the ARM Mobile Facility. More information can be found at https://www.arm.gov/capabilities/modeling/lasso. Types of files in this tar include the initial and boundary conditions, WRF namelist, and other files present in a WRF run directory.

Authors:

Gustafson, William; Vogelmann, Andrew; Delgado, Mark; Endo, Satoshi; Schuman, Eddie; Toto, Tami; Varble, Adam; Xiao, Heng

ORNL

Publication Date:: Wed Jul 12 04:00:00 UTC 2023

DOE Contract Number:: AC05-00OR22725

Research Org.:: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); ARM Data Center, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

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

Collaborations:: PNNL, BNL, ANL, ORNL

Subject:: 54 ENVIRONMENTAL SCIENCES; Argentina; CACTI; LASSO; LASSO-CACTI; LES; Sierras de Córdoba; WRF; Weather Research and Forecasting; atmospheric model; complex terrain; cumulonimbus; deep convection; large eddy simulation; large-eddy simulation; mesoscale ensemble

OSTI Identifier:: 1905809

DOI:: https://doi.org/10.5439/1905809

Citation Formats


                    Gustafson, William, Vogelmann, Andrew, Delgado, Mark, Endo, Satoshi, Schuman, Eddie, Toto, Tami, Varble, Adam, and Xiao, Heng. Input files and WRF run directory for a LASSO-CACTI simulation.  United States: N. p., 2023. 
        Web.  doi:10.5439/1905809.

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                    Gustafson, William, Vogelmann, Andrew, Delgado, Mark, Endo, Satoshi, Schuman, Eddie, Toto, Tami, Varble, Adam, & Xiao, Heng. Input files and WRF run directory for a LASSO-CACTI simulation.  United States.  doi:https://doi.org/10.5439/1905809

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                    Gustafson, William, Vogelmann, Andrew, Delgado, Mark, Endo, Satoshi, Schuman, Eddie, Toto, Tami, Varble, Adam, and Xiao, Heng. 2023.  
"Input files and WRF run directory for a LASSO-CACTI simulation".  United States.  doi:https://doi.org/10.5439/1905809.  https://www.osti.gov/servlets/purl/1905809. Pub date:Wed Jul 12 04:00:00 UTC 2023

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@article{osti_1905809,

  title        = {Input files and WRF run directory for a LASSO-CACTI simulation},

  author       = {Gustafson, William and Vogelmann, Andrew and Delgado, Mark and Endo, Satoshi and Schuman, Eddie and Toto, Tami and Varble, Adam and Xiao, Heng},

  abstractNote = {Tar file containing files necessary for reproducing a given Weather Research and Forecasting (WRF) simulation from the Large-Eddy Simulation (LES) Atmospheric Radiation Measurement (ARM) Symbiotic Simulation and Observation (LASSO) deep-convection scenario for the Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign. The LASSO-CACTI simulations span grid spacings from 7.5 km to 100 m for convection near the Sierras de Córdoba mountain range, roughly centered on the ARM Mobile Facility. More information can be found at https://www.arm.gov/capabilities/modeling/lasso. Types of files in this tar include the initial and boundary conditions, WRF namelist, and other files present in a WRF run directory.},

  doi          = {10.5439/1905809},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Jul 12 04:00:00 UTC 2023},

  month        = {Wed Jul 12 04:00:00 UTC 2023}

}

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DOI: https://doi.org/10.5439/1905809

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