Simon C. Scherrer, Monika Göldi, Stefanie Gubler, Christian R. Steger, Sven Kotlarski
In the European Alps, surface snow cover is of high relevance and a major factor for environmental, ecological and economical systems. The provision of accurate and timely climatological information on the spatio-temporal distribution of Alpine snow cover is hence an important yet challenging task of modern climate services. To assess the quality and the reliability of existing snow cover products in this region, we here compare daily snow cover datasets over Switzerland from the low-resolution ERA5 reanalysis, two intermediate resolution reanalyses (ERA5-Land and COSMO-REA6) and a high-resolution AVHRR-derived remote sensing product with three high-resolution 1 km offline snow models for the past 30 to 60 years. We focus on the parameters snow water equivalent (SWE) and daily snow coverage (snow/no snow). In the challenging Alpine terrain, all datasets are able to broadly represent the mean and the seasonal cycle of SWE and the number of snow days. They also agree on the direction of the trends. Decreasing mean SWE and snow day trends are found for the whole of Switzerland and all subregions in the period 1982–2019. Regarding interannual variability and trends, ERA5, ERA5-Land and COSMO-REA6 seem to perform reasonably well in most regions although the absolute and relative biases can be considerable. Especially ERA5-Land strongly overestimates SWE at high elevations. The biases are often larger in the southern Alps than in and north of the Alps. Most datasets, including the high-resolution ones, have problems correctly representing small SWE values at low elevations. The results indicate that in order to estimate absolute SWE or snow days with a reasonable accuracy, or to conduct a detailed study of the elevation dependence of snow, a km‑scale model that assimilates snow measurements is highly preferable. MeteoSwiss and the WSL Institute for Snow and Avalanche Research SLF are currently setting up a 1 km daily operational climatological product covering the period from 1961 to today.
{"title":"Towards a spatial snow climatology for Switzerland: Comparison and validation of existing datasets","authors":"Simon C. Scherrer, Monika Göldi, Stefanie Gubler, Christian R. Steger, Sven Kotlarski","doi":"10.1127/metz/2023/1210","DOIUrl":"https://doi.org/10.1127/metz/2023/1210","url":null,"abstract":"In the European Alps, surface snow cover is of high relevance and a major factor for environmental, ecological and economical systems. The provision of accurate and timely climatological information on the spatio-temporal distribution of Alpine snow cover is hence an important yet challenging task of modern climate services. To assess the quality and the reliability of existing snow cover products in this region, we here compare daily snow cover datasets over Switzerland from the low-resolution ERA5 reanalysis, two intermediate resolution reanalyses (ERA5-Land and COSMO-REA6) and a high-resolution AVHRR-derived remote sensing product with three high-resolution 1 km offline snow models for the past 30 to 60 years. We focus on the parameters snow water equivalent (SWE) and daily snow coverage (snow/no snow). In the challenging Alpine terrain, all datasets are able to broadly represent the mean and the seasonal cycle of SWE and the number of snow days. They also agree on the direction of the trends. Decreasing mean SWE and snow day trends are found for the whole of Switzerland and all subregions in the period 1982–2019. Regarding interannual variability and trends, ERA5, ERA5-Land and COSMO-REA6 seem to perform reasonably well in most regions although the absolute and relative biases can be considerable. Especially ERA5-Land strongly overestimates SWE at high elevations. The biases are often larger in the southern Alps than in and north of the Alps. Most datasets, including the high-resolution ones, have problems correctly representing small SWE values at low elevations. The results indicate that in order to estimate absolute SWE or snow days with a reasonable accuracy, or to conduct a detailed study of the elevation dependence of snow, a km‑scale model that assimilates snow measurements is highly preferable. MeteoSwiss and the WSL Institute for Snow and Avalanche Research SLF are currently setting up a 1 km daily operational climatological product covering the period from 1961 to today.","PeriodicalId":49824,"journal":{"name":"Meteorologische Zeitschrift","volume":"43 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141523251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Schmid, S. Agersten, Luis Bañon, M. Buzzi, Aitor Atencia, Estelle de Coning, A. Kann, Stephen Moseley, M. Reyniers, Y. Wang, K. Wapler
{"title":"Conference Report: Fourth European Nowcasting Conference","authors":"F. Schmid, S. Agersten, Luis Bañon, M. Buzzi, Aitor Atencia, Estelle de Coning, A. Kann, Stephen Moseley, M. Reyniers, Y. Wang, K. Wapler","doi":"10.1127/metz/2022/1156","DOIUrl":"https://doi.org/10.1127/metz/2022/1156","url":null,"abstract":"","PeriodicalId":49824,"journal":{"name":"Meteorologische Zeitschrift","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45627468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modelling the heterogeneity of rain in an urban neighbourhood with an obstacle-resolving model","authors":"Karolin S. Ferner, M. Boettcher, K. Schlünzen","doi":"10.1127/metz/2022/1149","DOIUrl":"https://doi.org/10.1127/metz/2022/1149","url":null,"abstract":"","PeriodicalId":49824,"journal":{"name":"Meteorologische Zeitschrift","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43317375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of significant tornado events in Central Europe: synoptic situation and convective development","authors":"K. Wapler, M. Beyer","doi":"10.1127/metz/2022/1126","DOIUrl":"https://doi.org/10.1127/metz/2022/1126","url":null,"abstract":"","PeriodicalId":49824,"journal":{"name":"Meteorologische Zeitschrift","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41652287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Osias Ruiz-Alvarez, Arturo Corrales-Suastegui, Petr Štěpánek, Ales Farda, Ronald Ernesto Ontiveros Capurata, Arturo Reyes-González, Roberto Reynoso-Santos, Jesus Manuel Ochoa-Rivero, Vijay P. Singh
A temporal trend analysis of weather variables is needed for developing mitigation and adaptation strategies to climate change. The objective of this work was to study temporal trends of 17 extreme temperature indices in North-Central Mexico (NCM). We used daily observations of maximum and minimum temperatures from 127 weather stations for 34 years (1980–2013). The extreme temperature indices were calculated with the RClimDex v1.9 package. Analysis of trend indices was carried out with the Mann–Kendall technique and the rate of change with the Theil–Sen estimator. Except for the growing season length, all-temperature indices showed statistically significant positive trends (SSPT) ( p ≤ 0 . 0 5 $pleqnobreak 0.05$ ) between 1 and 62; except for the cold spell duration indicator, all indices showed statistically significant negative trends (SSNT) between 3 and 62. The SSPT of all indices varied between 0.246 °C decade−1 (TMINMEAN) and 48 days decade−1 (SU25), while the SSNT varied between −55.238 days decade−1 (SU25) and −0.181 °C decade−1 (TMINMEAN). In NCM, the increase in some indices could be causing an increase in crop water requirements and poorly meeting some crop's chilling requirements. In crops, such as grapevine, peach, and apple, an excellent short-term strategy to adapt to the decrease in cold winter and to compensate for the satisfaction of poor chilling hours using biostimulant of sprouting should be considered. New varieties/hybrids of corn and beans for dealing with the increase in warm days (TX90p), summer days (SU25), warm nights (TN90p), and tropical nights must be available; also, these new varieties should have shorter cycle and should be cold resistant. The results of this work constitute a reliable tool for generating answers for measures of adaptation to the onslaught of climate change in NCM.
{"title":"Temporal trends of daily extreme temperature indices in North-Central Mexico","authors":"Osias Ruiz-Alvarez, Arturo Corrales-Suastegui, Petr Štěpánek, Ales Farda, Ronald Ernesto Ontiveros Capurata, Arturo Reyes-González, Roberto Reynoso-Santos, Jesus Manuel Ochoa-Rivero, Vijay P. Singh","doi":"10.1127/metz/2022/1110","DOIUrl":"https://doi.org/10.1127/metz/2022/1110","url":null,"abstract":"A temporal trend analysis of weather variables is needed for developing mitigation and adaptation strategies to climate change. The objective of this work was to study temporal trends of 17 extreme temperature indices in North-Central Mexico (NCM). We used daily observations of maximum and minimum temperatures from 127 weather stations for 34 years (1980–2013). The extreme temperature indices were calculated with the RClimDex v1.9 package. Analysis of trend indices was carried out with the Mann–Kendall technique and the rate of change with the Theil–Sen estimator. Except for the growing season length, all-temperature indices showed statistically significant positive trends (SSPT) ( p ≤ 0 . 0 5 $pleqnobreak 0.05$ ) between 1 and 62; except for the cold spell duration indicator, all indices showed statistically significant negative trends (SSNT) between 3 and 62. The SSPT of all indices varied between 0.246 °C decade−1 (TMINMEAN) and 48 days decade−1 (SU25), while the SSNT varied between −55.238 days decade−1 (SU25) and −0.181 °C decade−1 (TMINMEAN). In NCM, the increase in some indices could be causing an increase in crop water requirements and poorly meeting some crop's chilling requirements. In crops, such as grapevine, peach, and apple, an excellent short-term strategy to adapt to the decrease in cold winter and to compensate for the satisfaction of poor chilling hours using biostimulant of sprouting should be considered. New varieties/hybrids of corn and beans for dealing with the increase in warm days (TX90p), summer days (SU25), warm nights (TN90p), and tropical nights must be available; also, these new varieties should have shorter cycle and should be cold resistant. The results of this work constitute a reliable tool for generating answers for measures of adaptation to the onslaught of climate change in NCM.","PeriodicalId":49824,"journal":{"name":"Meteorologische Zeitschrift","volume":"11 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138519228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corrigendum to Behr,H.D., C.Jung, J.Trentmann, D.Schindler: Using satellite data for assessing spatiotemporal variability and complementarity of solarresources – a case study from Germany. Meteorol.Z. 30/6, 515–532","authors":"H. D. Behr","doi":"10.1127/metz/2022/1142","DOIUrl":"https://doi.org/10.1127/metz/2022/1142","url":null,"abstract":"","PeriodicalId":49824,"journal":{"name":"Meteorologische Zeitschrift","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48972603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Schneider, André Glücksmann, A. Grötzner, H. Mengelkamp
{"title":"A wind atlas for Germany and the effect of remodeling","authors":"M. Schneider, André Glücksmann, A. Grötzner, H. Mengelkamp","doi":"10.1127/metz/2022/1102","DOIUrl":"https://doi.org/10.1127/metz/2022/1102","url":null,"abstract":"","PeriodicalId":49824,"journal":{"name":"Meteorologische Zeitschrift","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48560769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Eddy covariance observations and FAO Penman-Monteith modelling of evapotranspiration over a heterogeneous farmland area","authors":"M. Siedlecki, W. Pawlak, K. Fortuniak","doi":"10.1127/metz/2022/1064","DOIUrl":"https://doi.org/10.1127/metz/2022/1064","url":null,"abstract":"","PeriodicalId":49824,"journal":{"name":"Meteorologische Zeitschrift","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43613880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Schroedter-Homscheidt, F. Azam, J. Betcke, N. Hanrieder, M. Lefèvre, L. Saboret, Y. Saint-Drenan
{"title":"Surface solar irradiation retrieval from MSG/SEVIRI based on APOLLO Next Generation and HELIOSAT‑4 methods","authors":"M. Schroedter-Homscheidt, F. Azam, J. Betcke, N. Hanrieder, M. Lefèvre, L. Saboret, Y. Saint-Drenan","doi":"10.1127/metz/2022/1132","DOIUrl":"https://doi.org/10.1127/metz/2022/1132","url":null,"abstract":"","PeriodicalId":49824,"journal":{"name":"Meteorologische Zeitschrift","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47192948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Hänsel, C. Brendel, M. Haller, S. Krähenmann, Christène Razafimaharo, K. Stanley, S. Brienen, T. Deutschländer, M. Rauthe, Andreas Walter
{"title":"Climate services in support of climate change impact analyses for the German inland transportation system","authors":"S. Hänsel, C. Brendel, M. Haller, S. Krähenmann, Christène Razafimaharo, K. Stanley, S. Brienen, T. Deutschländer, M. Rauthe, Andreas Walter","doi":"10.1127/metz/2022/1117","DOIUrl":"https://doi.org/10.1127/metz/2022/1117","url":null,"abstract":"","PeriodicalId":49824,"journal":{"name":"Meteorologische Zeitschrift","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49489442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：