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  • High resolution radar data (lmax) of Neuhaus

  • High resolution radar data (lmax) of Dresden

  • Since July 2020, the DWD has been offering the crowdsourcing module User Reports in its WarnWetter app. This gives app users the opportunity to make their own reports on current weather and severe weather events available to the DWD and other users. The data are now also made available on Open Data in daily packages. The user reports are snapshots of the current weather conditions at a location at a certain point in time. They have the advantage of collecting information on the weather near the ground, where there is no weather station in the immediate vicinity. These can then supplement the data network. In particular, striking weather events can be well assessed through the impact of user data and improve warning management. No advanced quality assurance is carried out for the user reports, but a largely correct meteorological assessment of the weather situation by the reporters is assumed. With the help of reference data sets, an instantaneous filtering of false reports takes place. In addition, meteorological false alerts can also be reported manually by users. Thus, users are granted a certain meteorological estimation of the weather situation. Through crowdsourcing, the truth of the report can also be checked for plausibility: The more reports are submitted at a location at a certain time, the more likely an event is. The user reports are made available in the Open Data portal in GeoJson format. The retention period is 60 days. Adjustments to the data are possible at any time and are announced via the RSS feed. Each file contains the accumulated messages of one day (00:00 UTC to 23:59 UTC) and is provided with a 24h delay. Translated with www.DeepL.com/Translator (free version)

  • High resolution radar data (lmax) of Ummendorf

  • DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

  • The ISND74 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISN): Synoptic observations from fixed land stations at non-standard time (i.e. 01, 02, 04, 05, ... UTC) A2 (D): 90°E - 0° northern hemisphere (Remarks from Volume-C: NATIONAL AUTOMATIC SYNOP)

  • The ISHD08 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level A2 (D): 90°E - 0° northern hemisphere(The bulletin collects reports from stations: 10564;Schleiz;10565;Osterfeld;10569;Plauen;10574;Carlsfeld;10577;Chemnitz;10579;Marienberg;10582;Zinnwald-Georgenfeld;10591;Lichtenhain-Mittelndorf;10615;Deuselbach;10628;Geisenheim;10635;Kleiner Feldberg/Taunus;10646;Neuhütten/Spessart;10648;Michelstadt-Vielbrunn;10658;Kissingen, Bad;10671;Lautertal-Oberlauter;10686;Wunsiedel-Schönbrunn;10704;Berus;10706;Tholey;10724;Weinbiet;10733;Waibstadt;10736;Mühlacker;10739;Stuttgart (Schnarrenberg);10747;Kaisersbach-Cronhütte;) (Remarks from Volume-C: SYNOP BUFR half-hourly)

  • DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

  • DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

  • The data covers the calculated yields of wind farms in German territory and the German exclusive economic zone (EEZ) and the relevant wind conditions under the assumption of an expansion scenario (S16) of offshore wind energy for ten consecutive meteorological years. The calculations were carried out with the numerical weather model WRF using a parameterization of wind farms according to Fitch. The data are available in 10-minute temporal and 2 km x 2 km spatial resolution for the North Sea for the meteorological years 2013-2022. The variables of the data set are wind speed (WS) and wind direction (WD) at 9 height levels between 50 m and 350 m, the power (POWER) of the wind turbines from each grid cell and the air density. A detailed description of the variables can be found in the files.