WRFlux: v1.6.0
Description
WRFlux allows to output time-averaged resolved and subgrid-scale fluxes and other tendency components for potential temperature, water vapor mixing ratio, and momentum for the "Weather Research and Forecasting" (WRF) model. The included post-processing tool written in Python can be used to calculate tendencies from the fluxes in each spatial direction, transform the tendencies to the Cartesian coordinate system, average spatially, and decompose the resolved advection into mean and resolved turbulent components. The sum of all forcing terms agrees to high precision with the model-computed tendency. The package is well tested and easy to install. It is continuously updated when new WRF versions are released. Version 1.6.0 is based on WRF version 4.5.
Main changes in version 1.6.0:
- specified needed versions of Python packages and added conda environment file for easy installation
- fixed problem with skipping existing output when using MPI
- set values at domain boundaries to NaN when using tiling (since they are not correct)
- deleted budget options for 2nd-order and dzout-type advection formulations which were only relevant for the paper
- formatting and cleaning
Files
matzegoebel/WRFlux-v1.6.0.zip
Files
(115.8 MB)
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Additional details
Related works
- Is derived from
- Software: https://github.com/wrf-model/WRF/releases/tag/v4.5 (URL)
- Is documented by
- Journal article: 10.5194/gmd-15-669-2022 (DOI)
- Is supplement to
- Software: https://github.com/matzegoebel/WRFlux/tree/v1.6.0 (URL)
Funding
- Multiscale Interactions in Convection Initiation in the Alps P 30808
- FWF Austrian Science Fund
References
- Göbel, M., Serafin, S., and Rotach, M. W.: Numerically consistent budgets of potential temperature, momentum, and moisture in Cartesian coordinates: application to the WRF model, Geosci. Model Dev., 15, 669–681, https://doi.org/10.5194/gmd-15-669-2022, 2022.