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HOBOS - HOneyBee Online Studies

Seit 2006 hat der Bienenexperte Prof. Dr. Jürgen Tautz die HOneyBee Online Studies (HOBOS) als ein neues, interaktives Schulkonzept entwickelt. HOBOS existiert in seinen ersten Vorstufen seit dem 1. Juni 2009 und erlaubte in der Pilotphase ausgewählten Schulklassen aus neun Ländern über das Internet in einen echten Honigbienenstock vorzudringen. Zu den Ländern zählen Deutschland, USA, China, Luxemburg, Nordirland, Italien, Südafrika, Schweiz und Jordanien. Das Projekt wurde mehrfach ausgezeichnet. Die offizielle Schirmherrin von HOBOS ist seit April 2011 HRH Prinzessin Basma bint Ali von Jordanien, die Cousine des Staatsoberhaupts des Königreichs Jordanien HM König Abdullah II. Prof. Dr. Jürgen Tautz leitet das HOBOS-Projekt, das im Biozentrum der Universität Würzburg beheimatet ist. Ein speziell für diese Anforderungen konstruierter Bienenstock ist mit Sensoren, Messgeräten und mehreren Kameras, auch Wärmebildkamera, ausgestattet. So werden die Orwellschen Visionen (1984) für die Bewohner dieser speziellen Bienenbehausung Wirklichkeit, aber zum Nutzen von interessierten Menschen. Alle Daten sind online abrufbar, werden aber auch langfristig gespeichert. Besuchen Sie http://www.hobos.de/ um die aktuellsten Informationen über das Projekt zu erhalten.

ReFlex: Replicability Concept for Flexible Smart Grids, Wüstenrot Germany

Introduction: By 2020, the community Wuestenrot wants to cover its energy needs through the utilization of renewable energy sources, such as biomass, solar energy, wind power and geothermal energy, within the town area of 3000 hectares. In order to elaborate a practicable scheme for realizing this idea in a 'real' community and to develop a roadmap for implementation, the project 'EnVisaGe' under the leadership of the Stuttgart University of Applied Sciences (HFT Stuttgart) was initiated. Accompanying particular demonstration projects are a) the implementation of a plus-energy district with 16 houses connected to a low exergy grid for heating and cooling, b) a biomass district heating grid with integrated solar thermal plants. Project goal: The aim of the project is to develop a durable roadmap for the energy self-sufficient and energy-plus community of Wüstenrot. The roadmap shall be incorporated in an energy usage plan for the community, that shall be implemented by 2020 and brings Wüstenrot in an energy-plus status on the ecobalance sheet. A main feature within the EnVisaGe project is the implementation of a 14,703-m2 energy-plus model district called 'Vordere Viehweide'. It consists of 16 residential houses, supplied by a cold local heating network connected to a large geothermal ('agrothermal') collector. Here PV systems for generating electricity are combined with decentralised heat pumps and thermal storage systems for providing domestic hot water as well as with batteries for storing electricity. Another demonstration project is a district heating grid fed by biomass and solar thermal energy in the neighbourhood 'Weihenbronn'. It's based on a formerly oil-fired grid for the town hall and was extended to an adjacent residential area.

Schwerpunktprogramm (SPP) 1294: Bereich Infrastruktur - Atmospheric and Earth system research with the 'High Altitude and Long Range Research Aircraft' (HALO), NAWDEX - North Atlantic Waveguide and Downstream Impact Experiment

The North Atlantic Waveguide and Downstream Impact Experiment (NAWDEX) aims to provide the foundation for future improvements in the prediction of high impact weather events over Europe. The concept for the field experiment emerged from the WMO THORPEX program and contributes to the World Weather Research Program WWRP in general and to the High Impact Weather (HIWeather) project in particular. An international consortium from the US, UK, France, Switzerland and Germany has applied for funding of a multi-aircraft campaign supported by enhanced surface observations, over the North Atlantic and European region. The importance of accurate weather predictions to society is increasing due to increasing vulnerability to high impact weather events, and increasing economic impacts of weather, for example in renewable energy. At the same time numerical weather prediction has undergone a revolution in recent years, with the widespread use of ensemble predictions that attempt to represent forecast uncertainty. This represents a new scientific challenge because error growth and uncertainty are largest in regions influenced by latent heat release or other diabatic processes. These regions are characterized by small-scale structures that are poorly represented by the operational observing system, but are accessible to modern airborne remote-sensing instruments. HALO will play a central role in NAWDEX due to the unique capabilities provided by its long range and advanced instrumentation. With coordinated flights over a period of days, it will be possible to sample the moist inflow of subtropical air into a cyclone, the ascent and outflow of the warm conveyor belt, and the dynamic and thermodynamic properties of the downstream ridge. NAWDEX will use the proven instrument payload from the NARVAL campaign which combines water vapor lidar and cloud radar, supplemented by dropsondes, to allow these regions to be measured with unprecedented detail and precision. HALO operations will be supported by the DLR Falcon aircraft that will be instrumented with wind lidar systems, providing synergetic measurements of dynamical structures. These measurements will allow the first closely targeted evaluation of the quality of the operational observing and analysis systems in these crucial regions for forecast error growth. They will provide detailed knowledge of the physical processes acting in these regions and especially of the mechanisms responsible for rapid error growth in mid-latitude weather systems. This will provide the foundation for a better representation of uncertainty in numerical weather predictions systems, and better (probabilistic) forecasts.

Model Output Statistics for DAVOS (06784)

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 ]

Model Output Statistics for LAEGERN (06669)

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 ]

Model Output Statistics for ROBIEI (06751)

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 ]

Model Output Statistics for PULLY (06711)

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 ]

Model Output Statistics for STABIO (06771)

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 ]

Model Output Statistics for MUEHLEBERG (KKW) (06636)

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 ]

Model Output Statistics for DISENTIS / SEDRUN (06782)

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 ]

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