TY - JOUR
T1 - Wrf4palm v1.0
T2 - A mesoscale dynamical driver for the microscale PALM model system 6.0
AU - Lin, Dongqi
AU - Khan, Basit
AU - Katurji, Marwan
AU - Bird, Leroy
AU - Faria, Ricardo
AU - Revell, Laura E.
N1 - Funding Information:
Financial support. Dongqi Lin and Laura E. Revell received support from the University of Canterbury and the Ministry of Business, Innovation and Employment project Particulate Matter Emissions Maps for Cities (grant no. BSCIF1802). The contribution of Basit Khan was supported by the MOSAIK and MOSAIK-2 projects, which are funded by the German Federal Ministry of Education and Research (BMBF) (grant nos. 01LP1601A and 01LP1911H), within the framework of Research for Sustainable Development (FONA; http://www.fona.de, last access: 10 August 2020). Marwan Katurji was supported by the Royal Society of New Zealand (contract no. RDF-UOC1701). Ricardo Faria was financially supported by the Oceanic Observatory of Madeira Project (grant no. M1420-01-0145-FEDER-000001-Observatório Oceânico da Madeira-OOM).
Publisher Copyright:
© Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
PY - 2021/5/6
Y1 - 2021/5/6
N2 - 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 and requires a licence agreement for operational use or academic research (http://www.cosmo-model.org/, last access: 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 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.
AB - 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 and requires a licence agreement for operational use or academic research (http://www.cosmo-model.org/, last access: 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 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.
UR - http://www.scopus.com/inward/record.url?scp=85105719333&partnerID=8YFLogxK
U2 - 10.5194/gmd-14-2503-2021
DO - 10.5194/gmd-14-2503-2021
M3 - Article
AN - SCOPUS:85105719333
SN - 1991-959X
VL - 14
SP - 2503
EP - 2524
JO - Geoscientific Model Development
JF - Geoscientific Model Development
IS - 5
ER -
