Other language confidence: 0.860528921054928
Assessment texts on monthly mean tropospheric precipitable water, provided by ECSM - European Climate System Monitoring, WMO Regional Climate Centre (RCC) on Climate Monitoring
Maps of monthly mean surface net shortwave radiation derived from METEOSAT-Data by CM-SAF on a 0.25x0.25 degree grid, provided by WMO Regional Climate Centre (RCC) on Climate Monitoring
Global maps of anomalies of monthly mean surface air pressure derived from GME model data (reference period 1961-1990), WMO RA VI Regional Climate Centre (RCC) on Climate Monitoring
Maps of monthly mean values of precipitable water derived from SATEM bulletins by gridding to 5x5 degree grid and interpolation to a 1x1 degree grid.(near realtime product), provided by WMO Regional Climate Centre (RCC) on Climate Monitoring
The FTRO31 TTAAii Data Designators decode as: T1 (F): Forecast T1T2 (FT): Aerodrome (VT >= 12 hours) A1A2 (RO): Romania (The bulletin collects reports from stations: LRBS;BANEASA INT;LRCK;MIHAIL KOGALNICEANU INT;LROP;HENRI COANDA INT;LRSB;SIBIU INT ;LRTR;TIMISOARA TRAIAN VUIA;)
Messwerte des Niederschlags an den DWD Stationen im Regional Basic Synoptic Network der WMO. Erweitert um weitere Stationen der Grundversorgung.
Messwerte der Windgeschwindigkeit an den DWD Stationen im Regional Basic Synoptic Network der WMO. Erweitert um weitere Stationen der Grundversorgung.
Messwerte der relativen Feuchte an den DWD Stationen im Regional Basic Synoptic Network der WMO. Erweitert um weitere Stationen der Grundversorgung.
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). 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.
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.
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