Evaluation of High-Resolution Land Cover Geographical Data for the WRF Model Simulations
Increased computing power has made it possible to run simulations of the Weather Research and Forecasting (WRF) numerical model in high spatial resolution. However, running high-resolution simulations requires a higher-detail mapping of landforms, land use, and land cover. Often, higher-resolution d...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/9/2389 |
| _version_ | 1797601722928988160 |
|---|---|
| author | Jolanta Siewert Krzysztof Kroszczynski |
| author_facet | Jolanta Siewert Krzysztof Kroszczynski |
| author_sort | Jolanta Siewert |
| collection | DOAJ |
| description | Increased computing power has made it possible to run simulations of the Weather Research and Forecasting (WRF) numerical model in high spatial resolution. However, running high-resolution simulations requires a higher-detail mapping of landforms, land use, and land cover. Often, higher-resolution data have limited coverage or availability. This paper presents the feasibility of using CORINE Land Cover (CLC) land use and land cover data and alternative high-resolution global coverage land use/land cover (LULC) data from Copernicus Global Land Service Land Cover Map (CGLS-LC100) V2.0 in high-resolution WRF simulations (100 × 100 m). Global LULC data with a resolution of 100 m are particularly relevant for areas not covered by CLC. This paper presents the method developed by the authors for reclassifying land cover data from CGLS-LC100 to MODIS land use classes with defined parameters in the WRF model and describes the procedure for their implementation into the model. The obtained simulation results of the basic meteorological parameters from the WRF simulation using CLC, CGLS-LC100 and default geographical data from MODIS were compared to observations from 13 meteorological stations in the Warsaw area. The research has indicated noticeable changes in the forecasts of temperature, relative humidity wind speed, and direction after using higher-resolution LULC data. The verification results show a significant difference in weather predictions in terms of CLC and CGLS-LC100 LULC data implementation. Due to the fact that better results were obtained for CLC simulations than for CGLS-LC100, it is suggested that CLC data are first used for simulations in numerical weather prediction models and to use CGLS-LC100 data when the area is outside of CLC coverage. |
| first_indexed | 2024-03-11T04:07:42Z |
| format | Article |
| id | doaj.art-2b113e34110746768519e7d196b203c2 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T04:07:42Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-2b113e34110746768519e7d196b203c22023-11-17T23:39:31ZengMDPI AGRemote Sensing2072-42922023-05-01159238910.3390/rs15092389Evaluation of High-Resolution Land Cover Geographical Data for the WRF Model SimulationsJolanta Siewert0Krzysztof Kroszczynski1Institute of Geospatial Engineering and Geodesy, Faculty of Civil Engineering and Geodesy, Military University of Technology, 2 Gen. S. Kaliskiego St., 00-908 Warsaw, PolandInstitute of Geospatial Engineering and Geodesy, Faculty of Civil Engineering and Geodesy, Military University of Technology, 2 Gen. S. Kaliskiego St., 00-908 Warsaw, PolandIncreased computing power has made it possible to run simulations of the Weather Research and Forecasting (WRF) numerical model in high spatial resolution. However, running high-resolution simulations requires a higher-detail mapping of landforms, land use, and land cover. Often, higher-resolution data have limited coverage or availability. This paper presents the feasibility of using CORINE Land Cover (CLC) land use and land cover data and alternative high-resolution global coverage land use/land cover (LULC) data from Copernicus Global Land Service Land Cover Map (CGLS-LC100) V2.0 in high-resolution WRF simulations (100 × 100 m). Global LULC data with a resolution of 100 m are particularly relevant for areas not covered by CLC. This paper presents the method developed by the authors for reclassifying land cover data from CGLS-LC100 to MODIS land use classes with defined parameters in the WRF model and describes the procedure for their implementation into the model. The obtained simulation results of the basic meteorological parameters from the WRF simulation using CLC, CGLS-LC100 and default geographical data from MODIS were compared to observations from 13 meteorological stations in the Warsaw area. The research has indicated noticeable changes in the forecasts of temperature, relative humidity wind speed, and direction after using higher-resolution LULC data. The verification results show a significant difference in weather predictions in terms of CLC and CGLS-LC100 LULC data implementation. Due to the fact that better results were obtained for CLC simulations than for CGLS-LC100, it is suggested that CLC data are first used for simulations in numerical weather prediction models and to use CGLS-LC100 data when the area is outside of CLC coverage.https://www.mdpi.com/2072-4292/15/9/2389land use/land coverCLCCGLS-LC100SRTMGISWRF |
| spellingShingle | Jolanta Siewert Krzysztof Kroszczynski Evaluation of High-Resolution Land Cover Geographical Data for the WRF Model Simulations Remote Sensing land use/land cover CLC CGLS-LC100 SRTM GIS WRF |
| title | Evaluation of High-Resolution Land Cover Geographical Data for the WRF Model Simulations |
| title_full | Evaluation of High-Resolution Land Cover Geographical Data for the WRF Model Simulations |
| title_fullStr | Evaluation of High-Resolution Land Cover Geographical Data for the WRF Model Simulations |
| title_full_unstemmed | Evaluation of High-Resolution Land Cover Geographical Data for the WRF Model Simulations |
| title_short | Evaluation of High-Resolution Land Cover Geographical Data for the WRF Model Simulations |
| title_sort | evaluation of high resolution land cover geographical data for the wrf model simulations |
| topic | land use/land cover CLC CGLS-LC100 SRTM GIS WRF |
| url | https://www.mdpi.com/2072-4292/15/9/2389 |
| work_keys_str_mv | AT jolantasiewert evaluationofhighresolutionlandcovergeographicaldataforthewrfmodelsimulations AT krzysztofkroszczynski evaluationofhighresolutionlandcovergeographicaldataforthewrfmodelsimulations |