Submitted as: development and technical paper 01 Dec 2020
Submitted as: development and technical paper | 01 Dec 2020
WRF4PALM v1.0: A Mesoscale Dynamical Driver for the Microscale PALM Model System 6.0
- 1School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand
- 2School of Earth and Environment, University of Canterbury, Christchurch, New Zealand
- 3Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Garmisch-Partenkirchen, 82467, Germany
- 4Bodeker Scientific, Alexandra, New Zealand
- 5Oceanic Observatory of Madeira, Agência Regional para o Desenvolvimento da Investigação Tecnologia e Investigação, Madeira, Portugal
- 1School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand
- 2School of Earth and Environment, University of Canterbury, Christchurch, New Zealand
- 3Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Garmisch-Partenkirchen, 82467, Germany
- 4Bodeker Scientific, Alexandra, New Zealand
- 5Oceanic Observatory of Madeira, Agência Regional para o Desenvolvimento da Investigação Tecnologia e Investigação, Madeira, Portugal
Abstract. A set of Python-based tools, WRF4PALM, has been developed for offline-nesting of the PALM model system 6.0 into the Weather Research and Forecasting (WRF) modelling system. Time-dependent boundary conditions of the atmosphere are critical for accurate representation of microscale meteorological dynamics in high resolution real-data simulations. WRF4PALM generates initial and boundary conditions from WRF outputs to provide time-varying meteorological forcing for PALM. The WRF model has been used across the atmospheric science community for a broad range of multidisciplinary applications. The PALM model system 6.0 is a turbulence-resolving large-eddy simulation model with an additional Reynolds averaged Navier–Stokes (RANS) mode for atmospheric and oceanic boundary layer studies at microscale (Maronga et al., 2020). Currently PALM has the capability to ingest output from the regional scale Consortium for Small-scale Modelling (COSMO) atmospheric prediction model. However, COSMO is not an open source model which requires a licence agreement for operational use or academic research (http://www.cosmo-model.org/). This paper describes and validates the new free and open-source WRF4PALM tools (available on https://github.com/dongqi-DQ/WRF4PALM). Two case studies using WRF4PALM are presented for Christchurch, New Zealand, which demonstrate successful PALM simulations driven by meteorological forcing from WRF outputs. The WRF4PALM tools presented here can potentially be used for micro- and mesoscale studies worldwide, for example in boundary layer studies, air pollution dispersion modelling, wildfire emissions and spread, urban weather forecasting, and agricultural meteorology.
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Dongqi Lin et al.


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RC1: 'Anonymous Reviewer Comment', Anonymous Referee #1, 14 Jan 2021
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RC2: 'Review of Geoscientific Model Development manuscript GMD-2020-306: “WRF4PALM v1.0: A Mesoscale Dynamical Driver for the Microscale PALM Model System 6.0” by Dongqi Lin, Basit Khan, Marwan Katurji, Leroy Bird, Ricardo Faria, and Laura E. Revell', Anonymous Referee #2, 07 Feb 2021
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AC1: 'Final response', Dongqi Lin, 01 Mar 2021


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RC1: 'Anonymous Reviewer Comment', Anonymous Referee #1, 14 Jan 2021
-
RC2: 'Review of Geoscientific Model Development manuscript GMD-2020-306: “WRF4PALM v1.0: A Mesoscale Dynamical Driver for the Microscale PALM Model System 6.0” by Dongqi Lin, Basit Khan, Marwan Katurji, Leroy Bird, Ricardo Faria, and Laura E. Revell', Anonymous Referee #2, 07 Feb 2021
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AC1: 'Final response', Dongqi Lin, 01 Mar 2021
Dongqi Lin et al.
Model code and software
WRF4PALM: WRF4PALM_release_v1.0 Dongqi Lin https://doi.org/10.5281/zenodo.4017005
Dongqi Lin et al.
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