WRF4PALM v1.0: a mesoscale dynamical driver for the microscale PALM model system 6.0

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dc.contributor.authorLin D
dc.contributor.authorKhan B
dc.contributor.authorKaturji M
dc.contributor.authorBird L
dc.contributor.authorFaria R
dc.contributor.authorRevell, Laura
dc.date.accessioned2021-08-26T22:02:09Z
dc.date.available2021-08-26T22:02:09Z
dc.date.issued2021en
dc.date.updated2021-05-06T23:17:14Z
dc.description.abstractA 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 con- ditions of the atmosphere are critical for accurate repre- sentation of microscale meteorological dynamics in high- resolution real-data simulations. WRF4PALM generates ini- tial and boundary conditions from WRF outputs to pro- vide time-varying meteorological forcing for PALM. The WRF model has been used across the atmospheric sci- ence community for a broad range of multidisciplinary ap- plications. The PALM model system 6.0 is a turbulence- resolving large-eddy simulation model with an additional Reynolds-averaged Navier–Stokes (RANS) mode for atmo- spheric and oceanic boundary layer studies at microscale (Maronga et al., 2020). Currently PALM has the capabil- ity to ingest output from the regional scale Consortium for Small-scale Modelling (COSMO) atmospheric predic- tion model. However, COSMO is not an open source model and requires a licence agreement for operational use or academic research (http://www.cosmo-model.org/, last ac- cess: 23 April 2021). This paper describes and validates the new free and open-source WRF4PALM tools (available at https://github.com/dongqi-DQ/WRF4PALM, last access: 23 April 2021). Two case studies using WRF4PALM are pre- sented for Christchurch, New Zealand, which demonstrate successful PALM simulations driven by meteorological forc- ing 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 pol- lution dispersion modelling, wildfire emissions and spread, urban weather forecasting, and agricultural meteorology.en
dc.identifier.citationLin D, Khan B, Katurji M, Bird L, Faria R, Revell L (2021). WRF4PALM v1.0: a mesoscale dynamical driver for the microscale PALM model system 6.0. Geoscientific Model Development. 14. 2503-2524.en
dc.identifier.doihttp://doi.org/10.5194/gmd-14-2503-2021
dc.identifier.issn1991-959X
dc.identifier.urihttps://hdl.handle.net/10092/102354
dc.language.isoen
dc.rightsAll rights reserved unless otherwise stateden
dc.rights.urihttp://hdl.handle.net/10092/17651en
dc.subject.anzsrc04 Earth Sciencesen
dc.subject.anzsrcFields of Research::37 - Earth sciences::3701 - Atmospheric sciencesen
dc.titleWRF4PALM v1.0: a mesoscale dynamical driver for the microscale PALM model system 6.0en
dc.typeJournal Articleen
uc.collegeFaculty of Science
uc.departmentSchool of Physical & Chemical Sciences
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