Dec 27, 2023

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


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Version: 1.0

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.

DOI
https://doi.org/10.5065/nq49-4y34
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8 Files, 379.85 GB Total Size

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Temporal Range
2015 to 2021
Temporal Resolution
1.0 hour
15.0 minute
Spatial Resolution
9.0 kilometer
Related Links
N/A
GCMD Science Keywords
  • Atmosphere > Aerosols > Aerosol Optical Depth/Thickness
  • Atmosphere > Aerosols > Dust/Ash/Smoke
  • Land Surface > Soils > Soil Moisture/Water Content
GCMD Platform Types
  • Other > Models > Wrf-Chem > Weather Research And Forecasting Model Coupled To Chemistry
  • Other > Models > Wrf > Weather Research And Forecasting (Wrf) Model
  • Space-Based Platforms > Earth Observation Satellites > Nasa Decadal Survey > Smap > Soil Moisture Active And Passive Observatory
GCMD Instruments
  • Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > Modis > Moderate-Resolution Imaging Spectroradiometer
File Media Types
  • application/gzip
Support Contact
Jared Lee
UCAR/NCAR - Research Applications Laboratory
jaredlee@ucar.edu

Data Curator
GDEX Curator
UCAR/NCAR - GDEX
gdex@ucar.edu

Credit
Funding for this project for all authors was provided by NASA under Award No. 80NSSC20K1798.
Legal Constraints
Creative Commons Attribution 4.0 International License.
Access Constraints
None
Full Metadata
DIF XML
ISO19139 XML
OAI DC
JSON-LD
Version History
1.0

Latitude Range
24.0° N to 50.0° N
Longitude Range
130.0° W to 65.0° W
Authors
Jared Lee
Pedro A. Jiménez
Cenlin He
Rajesh Kumar
Publisher
UCAR/NCAR - GDEX

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. Version 1.0. UCAR/NCAR - GDEX. https://doi.org/10.5065/nq49-4y34. Accessed 19 May 2024.
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