the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
PALM-meteo 2.6: Processor of PALM meteorological input data
Abstract. PALM is a versatile and modular microscale atmospheric modelling system. It supports offline nesting using pre-processed initial and boundary conditions, which are provided via the dynamic driver file, along with other time-dependent input data, such as radiative forcing. PALM-meteo is a new modular tool for preparing the PALM dynamic drivers using data from various mesoscale or global meteorological models as well as other sources, such as measurements. It is derived from an older tool, the WRF_interface, which provided dynamic drivers from the WRF model data. PALM-meteo significantly expands the scope of usable meteorological inputs for PALM, and it is ready to be easily extended with more data sources in the future.
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Status: open (until 19 Nov 2025)
- RC1: 'Comment on egusphere-2025-4120', Anonymous Referee #1, 20 Oct 2025 reply
Data sets
Dataset for paper PALM-meteo 2.6: Processor of PALM meteorological input data Pavel Krč, Martin Bureš, Jaroslav Resler, Michal Belda, German Meteorological Service, European Centre for Medium-Range Weather Forecasts https://doi.org/10.5281/zenodo.16925022
Model code and software
PALM-meteo: processor of meteorological input data for the PALM model system Pavel Krč, Martin Bureš, Jaroslav Resler, Michal Belda https://doi.org/10.5281/zenodo.16924719
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Overview:
PALM-meteo 2.6 is a modular Python-based preprocessor that prepares PALM dynamic drivers from a variety of mesoscale/global models and other sources. Key capabilities include flexible plugin-based import (WRF, ICON, Aladin, CAMx, CAMS, synthetic), horizontal regridding, vertical adaptation (terrain matching with hybrid/sigma/universal methods), several vertical interpolators (NumPy, MetPy, Fortran), mass-balancing across boundaries, chemistry and radiation handling, and wind damping near walls. The manuscript documents architecture, configuration, workflows, gives 2 example applications (Prague and Guelph), and provides code and example data archives.
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