Influences of updated land-use datasets on WRF simulations for two Austrian regions. Schicker, I., Arnold Arias, D., & Seibert, P. Meteorology and Atmospheric Physics, 128(3):279–301, June, 2016. Paper doi abstract bibtex Numerical simulations were carried out with the weather research and forecasting model to study the influence of different land-use datasets for two Austrian regions, the high-alpine Inn Valley area and the hilly Vienna Basin area. The three land-use datasets used were USGS, MODIS and a reclassified European dataset based on the CORINE CLC06 data. Simulations covered an episode in July 2007 applying a resolution of 0.8 km. Results were compared with surface observation data, radiosoundings, and satellite data. It was found that land-use both in the original CLC06 and the version where it had been reclassified to USGS classes for use in WRF was significantly more realistic than the built-in land-use datasets (USGS and MODIS). Synoptic processes during the episode considered were reproduced well by all simulations, where CLC06 and MODIS improved the model performance in both regions in terms of the surface temperatures and other meteorological parameters.
@article{schicker_influences_2016,
title = {Influences of updated land-use datasets on {WRF} simulations for two {Austrian} regions},
volume = {128},
issn = {0177-7971},
url = {http://link.springer.com/10.1007/s00703-015-0416-y},
doi = {10.1007/s00703-015-0416-y},
abstract = {Numerical simulations were carried out with the weather research and forecasting model to study the influence of different land-use datasets for two Austrian regions, the high-alpine Inn Valley area and the hilly Vienna Basin area. The three land-use datasets used were USGS, MODIS and a reclassified European dataset based on the CORINE CLC06 data. Simulations covered an episode in July 2007 applying a resolution of 0.8 km. Results were compared with surface observation data, radiosoundings, and satellite data. It was found that land-use both in the original CLC06 and the version where it had been reclassified to USGS classes for use in WRF was significantly more realistic than the built-in land-use datasets (USGS and MODIS). Synoptic processes during the episode considered were reproduced well by all simulations, where CLC06 and MODIS improved the model performance in both regions in terms of the surface temperatures and other meteorological parameters.},
number = {3},
journal = {Meteorology and Atmospheric Physics},
author = {Schicker, Irene and Arnold Arias, Dèlia and Seibert, Petra},
month = jun,
year = {2016},
keywords = {NALCMS},
pages = {279--301},
}
Downloads: 0
{"_id":"e7jfEHBekgyzk2NwK","bibbaseid":"schicker-arnoldarias-seibert-influencesofupdatedlandusedatasetsonwrfsimulationsfortwoaustrianregions-2016","author_short":["Schicker, I.","Arnold Arias, D.","Seibert, P."],"bibdata":{"bibtype":"article","type":"article","title":"Influences of updated land-use datasets on WRF simulations for two Austrian regions","volume":"128","issn":"0177-7971","url":"http://link.springer.com/10.1007/s00703-015-0416-y","doi":"10.1007/s00703-015-0416-y","abstract":"Numerical simulations were carried out with the weather research and forecasting model to study the influence of different land-use datasets for two Austrian regions, the high-alpine Inn Valley area and the hilly Vienna Basin area. The three land-use datasets used were USGS, MODIS and a reclassified European dataset based on the CORINE CLC06 data. Simulations covered an episode in July 2007 applying a resolution of 0.8 km. Results were compared with surface observation data, radiosoundings, and satellite data. It was found that land-use both in the original CLC06 and the version where it had been reclassified to USGS classes for use in WRF was significantly more realistic than the built-in land-use datasets (USGS and MODIS). Synoptic processes during the episode considered were reproduced well by all simulations, where CLC06 and MODIS improved the model performance in both regions in terms of the surface temperatures and other meteorological parameters.","number":"3","journal":"Meteorology and Atmospheric Physics","author":[{"propositions":[],"lastnames":["Schicker"],"firstnames":["Irene"],"suffixes":[]},{"propositions":[],"lastnames":["Arnold","Arias"],"firstnames":["Dèlia"],"suffixes":[]},{"propositions":[],"lastnames":["Seibert"],"firstnames":["Petra"],"suffixes":[]}],"month":"June","year":"2016","keywords":"NALCMS","pages":"279–301","bibtex":"@article{schicker_influences_2016,\n\ttitle = {Influences of updated land-use datasets on {WRF} simulations for two {Austrian} regions},\n\tvolume = {128},\n\tissn = {0177-7971},\n\turl = {http://link.springer.com/10.1007/s00703-015-0416-y},\n\tdoi = {10.1007/s00703-015-0416-y},\n\tabstract = {Numerical simulations were carried out with the weather research and forecasting model to study the influence of different land-use datasets for two Austrian regions, the high-alpine Inn Valley area and the hilly Vienna Basin area. The three land-use datasets used were USGS, MODIS and a reclassified European dataset based on the CORINE CLC06 data. Simulations covered an episode in July 2007 applying a resolution of 0.8 km. Results were compared with surface observation data, radiosoundings, and satellite data. It was found that land-use both in the original CLC06 and the version where it had been reclassified to USGS classes for use in WRF was significantly more realistic than the built-in land-use datasets (USGS and MODIS). Synoptic processes during the episode considered were reproduced well by all simulations, where CLC06 and MODIS improved the model performance in both regions in terms of the surface temperatures and other meteorological parameters.},\n\tnumber = {3},\n\tjournal = {Meteorology and Atmospheric Physics},\n\tauthor = {Schicker, Irene and Arnold Arias, Dèlia and Seibert, Petra},\n\tmonth = jun,\n\tyear = {2016},\n\tkeywords = {NALCMS},\n\tpages = {279--301},\n}\n\n\n\n","author_short":["Schicker, I.","Arnold Arias, D.","Seibert, P."],"key":"schicker_influences_2016","id":"schicker_influences_2016","bibbaseid":"schicker-arnoldarias-seibert-influencesofupdatedlandusedatasetsonwrfsimulationsfortwoaustrianregions-2016","role":"author","urls":{"Paper":"http://link.springer.com/10.1007/s00703-015-0416-y"},"keyword":["NALCMS"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero/NAAtlas2024","dataSources":["yRJdyJoax6GFubwNS","WChDenW3ipDLTib3G","wszmZbW485BrvbZff","3fS6y29xitMxSyCmw","SmeabbQSEFozkXJuC","3cx6m8LrzQx6SsjF2","qLjf8q88GSLZ5dAmC"],"keywords":["nalcms"],"search_terms":["influences","updated","land","use","datasets","wrf","simulations","two","austrian","regions","schicker","arnold arias","seibert"],"title":"Influences of updated land-use datasets on WRF simulations for two Austrian regions","year":2016}