Modifications to WRF's dynamical core to improve the treatment of moisture for large-eddy simulations

Yamaguchi and Feingold (2012) note that the cloud fields in their large-eddy simulations (LESs) of marine stratocumulus using the Weather Research and Forecasting (WRF) model exhibit a strong sensitivity to time stepping choices. In this study, we reproduce and analyze this sensitivity issue using two stratocumulus cases, one marine and one continental. Results show that (1) the sensitivity is associated with spurious motions near the moisture jump between the boundary layer and the free atmosphere, and (2) these spurious motions appear to arise from neglecting small variations in water vapor mixing ratio (qv) in the pressure gradient calculation in the acoustic substepping portion of the integration procedure. We show that this issue is remedied in the WRF dynamical core by replacing the prognostic equation for the potential temperature θ with one for the moist potential temperature θm=θ(1 + 1.61qv), which allows consistent treatment of moisture in the calculation of pressure during the acoustic substeps. With this modification, the spurious motions and the sensitivity to the time stepping settings (i.e., the dynamic time step length and number of acoustic sub-steps) are eliminated in both of the example stratocumulus cases. This modification improves the applicability of WRF for LES applications, and possibly other models using similar dynamical core formulations, and also permits the use of longer time steps than in the original code.

To Access Resource:

Questions? Email Resource Support Contact:

  • opensky@ucar.edu
    UCAR/NCAR - Library

Resource Type publication
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Related Dataset #1 : ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1)

Related Dataset #2 : ARM: Total Sky Imager (TSI): fractional sky coverage

Related Dataset #3 : ARM: Microwave Radiometer Retrievals (MWRRET) of Cloud Liquid Water and Precipitable Water Vapor

Additional Information N/A
Resource Format PDF
Standardized Resource Format PDF
Asset Size N/A
Legal Constraints

Copyright 2015 American Geophysical Union.


Access Constraints None
Software Implementation Language N/A

Resource Support Name N/A
Resource Support Email opensky@ucar.edu
Resource Support Organization UCAR/NCAR - Library
Distributor N/A
Metadata Contact Name N/A
Metadata Contact Email opensky@ucar.edu
Metadata Contact Organization UCAR/NCAR - Library

Author Xiao, Heng
Endo, Satoshi
Wong, May
Skamarock, William
Klemp, Joseph
Fast, Jerome
Gustafson, William
Vogelmann, Andrew
Wang, Hailong
Liu, Yangang
Lin, Wuyin
Publisher UCAR/NCAR - Library
Publication Date 2015-12-01T00:00:00
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier N/A
Resource Version N/A
Topic Category geoscientificInformation
Progress N/A
Metadata Date 2023-08-18T19:03:41.435045
Metadata Record Identifier edu.ucar.opensky::articles:18016
Metadata Language eng; USA
Suggested Citation Xiao, Heng, Endo, Satoshi, Wong, May, Skamarock, William, Klemp, Joseph, Fast, Jerome, Gustafson, William, Vogelmann, Andrew, Wang, Hailong, Liu, Yangang, Lin, Wuyin. (2015). Modifications to WRF's dynamical core to improve the treatment of moisture for large-eddy simulations. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7fq9z46. Accessed 26 June 2025.

Harvest Source