Affiliation:
1. Institute of Hydrometeorology and Seismology, Podgorica, Montenegro
2. NCC Montenegro, Univeristy Donja Gorica, Podgorica, Montenegro
Abstract
BACKGROUND: The necessity of setting up high-resolution models is essential to timely forecast dangerous meteorological phenomena. OBJECTIVE: This study presents a verification of the numerical Weather Research and Forecasting non-hydrostatic Mesoscale Model (WRF NMM) for weather prediction using the High-Performance Computing (HPC) cluster over the complex relief of Montenegro. METHODS: Verification was performed comparing WRF NMM predicted values and measured values for temperature, wind and precipitation for six Montenegrin weather stations in a five-year period using statistical parameters. The difficult task of adjusting the model over the complex Montenegrin terrain is caused by a rapid altitude change in in the coastal area, numerous karst fields, basins, river valleys and canyons, large areas of artificial lakes on a relatively small terrain. RESULTS: Based on the obtained verification results, the results of the model vary during time of day, the season of the year, the altitude of the station for which the model results were verified, as well as the surrounding relief for them. The results show the best performance in the central region and show deviations for some metrological measures in some periods of the year. CONCLUSION: This study can give recommendations on how to adapt a numerical model to a real situation in order to produce better weather forecast for the public.
Subject
Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics
Reference19 articles.
1. J G. Powerset all, “The Weather Research and Forecasting (WRF) Model: Overview, System Efforts, and Future Directions”, Bulletin of the American Meteorological Society, 10.1175/BAMS-D-15-00308.1
2. Simulation of semi-arid biomass plantations and irrigation using the WRF-NOAH model – A comparison with observations from Israel;Branch;Hydrology and Earth System Sciences,2014
3. On the analysis of the performance of WRF and NICAM in a hyperarid environment;Fonseca;Weather Forecast,2020
4. Near-global-scale high-resolution seasonal simulations with WRF-Noah-MP v.3.8.1;Thomas;Geosci. Model Dev.,2020