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Performance evaluation of four different land surface models in WRF

Title data

Lee, Chong Bum ; Kim, Jea-Chul ; Belorid, Miloslav ; Zhao, Peng:
Performance evaluation of four different land surface models in WRF.
In: Asian Journal of Atmospheric Environment. Vol. 10 (2016) Issue 1 . - pp. 42-50.
ISSN 1976-6912
DOI: https://doi.org/10.5572/ajae.2016.10.1.042

Official URL: Volltext

Abstract in another language

This study presents a performance evaluation of four different land surface models (LSM) available in Weather Forecast Research (WRF). The research site was located in Haean Basin in South Korea. The basin is very unique by its geomorphology and topography. For a better representation of the complex terrain in the mesoscale model were used a high resolution topography data with a spatial resolution of 30 meters. Additionally, land-use layer was corrected by ground mapping data-sets. The observation equipments used in the study were an ultrasonic anemometer with a gas analyzer, an automatic weather station and a tethered balloon sonde. The model simulation covers a four-day period during autumn. The result shows significant impact of LSM on meteorological simulation. The best agreement between observation and simulation was found in the case of WRF with Noah LSM (WRF-Noah). The WRF with Rapid Update Cycle LSM (WRF-RUC) has a very good agreement with temperature profiles due to successfully predicted fog which appeared during measurements and affected the radiation budget at the basin floor. The WRF with Pleim and Xiu LSM (WRF-PX) and WRF with Thermal Diffusion LSM (WRF-TD) performed insufficiently for simulation of heat fluxes. Both overestimated the sensible and underestimated the latent heat fluxes during the daytime.

Further data

Item Type: Article in a journal
Refereed: No
Additional notes: BAYCEER136653
Institutions of the University: Research Institutions
Research Institutions > Research Centres
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professorship Micrometeorology
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Result of work at the UBT: Yes
DDC Subjects: 500 Science
Date Deposited: 11 Aug 2016 10:14
Last Modified: 11 Aug 2016 10:14
URI: https://eref.uni-bayreuth.de/id/eprint/33902