Sensitivity of meteorological variables on planetary boundary layer parameterization schemes in the WRF-ARW model

dc.contributor.authorDe Lange, Anzel
dc.contributor.authorNaidoo, Mogesh
dc.contributor.authorGarland, Rebecca M.
dc.contributor.authorDyson, Liesl L.
dc.contributor.emailanzel.delange@up.ac.zaen_ZA
dc.date.accessioned2020-10-29T06:40:32Z
dc.date.issued2021-01
dc.descriptionThe WRF-ARW model system software is in the public domain and is freely available at http://www2.mmm.ucar.edu/wrf/users/downloads.html for community use.en_ZA
dc.description.abstractThe accuracy of meteorological fields produced by Numerical Weather Prediction (NWP) models are highly dependent on the physical parameterization schemes used. Any errors in simulations of meteorological fields will be passed on to subsequent processes (i.e. air quality models), and will have an effect on their outputs. Therefore, the realistic simulation of meteorological parameters is of utmost importance. The aim of the present research is to evaluate the performance of Planetary Boundary Layer (PBL) schemes contained in the non-hydrostatic Advanced Research Weather Research and Forecasting (WRF-ARW) model when simulating meteorological variables. Four frequently used PBL schemes were investigated by conducting sensitivity experiments during a month in spring and winter in the South African Highveld region for 2016. The simulations resulting from the different schemes were compared against one another, and statistically evaluated by making use of observational meteorological data at five sites. From these results, it is recommended that a local scheme be used for the Highveld region during winter. During spring, the clearly preferred scheme for the Highveld is Mellor–Yamada–Janjić (MYJ) scheme. Results from this study contributes to the establishment of a preferred PBL scheme in the WRF-ARW model, for use in South African Highveld region. Future planned research will considered the effect of the above-mentioned PBL schemes in the simulation of air quality over the same region.en_ZA
dc.description.departmentGeography, Geoinformatics and Meteorologyen_ZA
dc.description.embargo2022-01-01
dc.description.librarianhj2020en_ZA
dc.description.sponsorshipSASOL through the Laboratory for Atmospheric Studies (LAS) at the University of Pretoria.en_ZA
dc.description.urihttp://www.elsevier.com/locate/atmosen_ZA
dc.identifier.citationDe Lange, A., Naidoo, M., Garland, R.M. et al. 2021, 'Sensitivity of meteorological variables on planetary boundary layer parameterization schemes in the WRF-ARW model', Atmospheric Research, vol. 247, art. 105214, pp. 1-19.en_ZA
dc.identifier.issn0169-8095 (print)
dc.identifier.issn1873-2895 (online)
dc.identifier.other10.1016/j.atmosres.2020.105214
dc.identifier.urihttp://hdl.handle.net/2263/76649
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2020 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Atmospheric Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Atmospheric Research, vol. 247, art. 105214, pp. 1-19, 2021. doi : 10.1016/j.atmosres.2020.105214.en_ZA
dc.subjectNumerical weather prediction (NWP)en_ZA
dc.subjectPlanetary boundary layer (PBL)en_ZA
dc.subjectSouth Africa (SA)en_ZA
dc.subjectWRF-ARW modelen_ZA
dc.subjectPBL schemesen_ZA
dc.subjectMeteorological simulationsen_ZA
dc.subjectModel evaluationen_ZA
dc.titleSensitivity of meteorological variables on planetary boundary layer parameterization schemes in the WRF-ARW modelen_ZA
dc.typePostprint Articleen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
DeLange_Sensitivity_2021.pdf
Size:
1.43 MB
Format:
Adobe Portable Document Format
Description:
Postprint Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: