WRF-Chem Simulations of Dust Storms With and Without Inserting SMAP Soil Moisture Retrievals

This dataset supports the journal article, "Impact of direct insertion of SMAP soil moisture retrievals in WRF-Chem for dust storm events in the western U.S." by Jared A. Lee, Pedro A. Jiménez, Rajesh Kumar, and Cenlin He, which has been conditionally accepted by Atmospheric Environment and is in revision as of Dec 2023.

In that study, eight dust storms in the western U.S. from 2015–2021 were simulated with the WRF-Chem model at 9-km grid spacing, with one simulation directly inserting soil moisture retrievals from the Soil Moisture Active Passive (SMAP) satellite into WRF-Chem ("Insert SMAP"), and the other leaving the WRF-Chem soil moisture field uncorrected ("No SMAP"). Model simulations were validated against ASOS METAR observations of 10-m wind speed, U.S. Climate Reference Network (USCRN) observations of soil moisture content, Aerosol Robotic Network (AERONET) retrievals of aerosol optical depth (AOD), and Moderate Resolution Imaging Spectroradiometer (MODIS) retrievals of AOD.

For all eight cases, this dataset includes 1-hourly and 15-min WRF-Chem model output for both Insert SMAP and No SMAP experiments for a limited set of relevant variables, USCRN station observations, AERONET station retrievals, and matched-pairs of valid MODIS AOD retrievals with WRF-Chem simulated AOD. All data files are provided in NetCDF.

To Access Resource:

Questions? Email Resource Support Contact:

  • Jared Lee
    jaredlee@ucar.edu
    UCAR/NCAR - Research Applications Laboratory

Temporal Range

  • Begin:  2015
    End:  2021

Keywords

Resource Type dataset
Temporal Range Begin 2015
Temporal Range End 2021
Temporal Resolution N/A
Bounding Box North Lat 50.0
Bounding Box South Lat 24.0
Bounding Box West Long -130.0
Bounding Box East Long -65.0
Spatial Representation N/A
Spatial Resolution 9.0 kilometer
Related Links N/A
Additional Information N/A
Resource Format Gzip Compressed Archive (application/gzip)
Standardized Resource Format Archive
Asset Size N/A
Legal Constraints

Creative Commons Attribution 4.0 International License.


Access Constraints None
Software Implementation Language N/A

Resource Support Name Jared Lee
Resource Support Email jaredlee@ucar.edu
Resource Support Organization UCAR/NCAR - Research Applications Laboratory
Distributor N/A
Metadata Contact Name GDEX Curator
Metadata Contact Email gdex@ucar.edu
Metadata Contact Organization UCAR/NCAR - GDEX

Author Jared Lee
Pedro A. Jiménez
Cenlin He
Rajesh Kumar
Publisher UCAR/NCAR - GDEX
Publication Date 2023-12-27
Digital Object Identifier (DOI) https://doi.org/10.5065/nq49-4y34
Alternate Identifier N/A
Resource Version N/A
Topic Category N/A
Progress N/A
Metadata Date 2023-12-27T11:03:25-07:00
Metadata Record Identifier edu.ucar.gdex::906f3060-0c65-49c7-af30-600c6509c71c
Metadata Language eng; USA
Suggested Citation Jared Lee, Pedro A. Jiménez, Cenlin He, Rajesh Kumar. (2023). WRF-Chem Simulations of Dust Storms With and Without Inserting SMAP Soil Moisture Retrievals. UCAR/NCAR - GDEX. https://doi.org/10.5065/nq49-4y34. Accessed 22 April 2024.

Harvest Source