Other language confidence: 0.9915249054673035
Objective weather types of Deutscher Wetterdienst derived from different Reanalysis and Global Climate Model simulations for the control run (1951-2000) and the projection period (2000-2100). Furthermore, the NAO-index is also provided. On the one hand, the dataset is useful for evaluation of representative circulation statistics in Central Europe, on the other hand, for the analysis of future weather types due to climate change. Added temperature and precipitation data allow to study the weather type effectiveness for these important climate parameters.
The WWDL38 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WW): Warnings and weather summary A1A2 (DL): Germany (Remarks from Volume-C: NilReason)
The WWDL39 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WW): Warnings and weather summary A1A2 (DL): Germany (Remarks from Volume-C: NilReason)
The WWDL39 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WW): Warnings and weather summary A1A2 (DL): Germany (Remarks from Volume-C: NilReason)
The WWDL38 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WW): Warnings and weather summary A1A2 (DL): Germany (Remarks from Volume-C: NilReason)
The WWDL39 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WW): Warnings and weather summary A1A2 (DL): Germany (Remarks from Volume-C: NilReason)
The WWDL39 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WW): Warnings and weather summary A1A2 (DL): Germany (The bulletin collects reports from stations: EDDM;MUNICH INT ;) (Remarks from Volume-C: AERODROME WEATHER WARNING)
The WWDL38 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WW): Warnings and weather summary A1A2 (DL): Germany (The bulletin collects reports from stations: EDDM;MUNICH INT ;) (Remarks from Volume-C: AERODROME WEATHER WARNING)
The UKCV11 TTAAii Data Designators decode as: T1 (U): Upper air data T1T2 (UK): Upper level pressure, temperature, humidity and wind(Part B) A1A2 (CV): Cape Verde (Remarks from Volume-C: TEMP MOBIL Temporary campaign Capo Verde)
Objective weather types of Deutscher Wetterdienst derived from different Reanalysis and Global Climate Model simulations for the control run (1951-2000) and the projection period (2000-2100). Forthermore, the NAO-index is also provided. On the one hand, the dataset is useful for evaluation of representative circulation statistics in Central Europe, on the other hand, for the analysis of future weather types due to climate change. Added temperature and precipitation data allow to study the weather type effectiveness for these important climate parameters.