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Waterbase - Biology, 2024

Waterbase serves as the EEA’s central database for managing and disseminating data regarding the status and quality of Europe's rivers, lakes, groundwater bodies, transitional, coastal, and marine waters. It also includes information on the quantity of Europe’s water resources and the emissions from point and diffuse sources of pollution into surface waters. Specifically, Waterbase - Biology focuses on biology data from rivers, lakes, transitional and coastal waters collected annually through the Water Information System for Europe (WISE) – State of Environment (SoE) reporting framework. The data are expected to be collected within monitoring programs defined under the Water Framework Directive (WFD) and used in the classification of the ecological status or potential of rivers, lakes, transitional and coastal water bodies. These datasets provide harmonised, quality-assured biological monitoring data reported by EEA member and cooperating countries, as Ecological Quality Ratios (EQRs) from all surface water categories (rivers, lakes, transitional and coastal waters).

Monthly mean snow depth: maps

Maps of monthly mean snow depth derived from SYNOP observations on a 0.1x0.1 degree grid, provided by WMO RA VI Regional Climate Centre (RCC) on Climate Monitoring WMO-RA6-RCC-CM

Model Output Statistics for SAMARKAND (38696)

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 ]

FP4-NNE-THERMIE C, Variable speed technology for low heat hydropower systems

Objective: Aim is to modify two small hydropower plants to variable speed operation in order to increase annual energy output by improved part load efficiency and design flow. A 100 kW vertical axis Francis turbine (Kaltenburg, DE) and a new 18 kW waterwheel (Bettborn, LU) will be modified to variable speed operation by use of a AC-AC converter. There will be installed a movable free-overfall weir at the waterwheel. By an expected increase of the electricity production in the range of 10 to 20 per cent , the aim is to proof viability of improving existing low head hydro sites with this technology. Especially low head sites have high variation of head and flow. Variable speed technology allows the system to operate at maximum efficiency for a wide range of hydraulic conditions. Modern power electronics replaces complex mechanical control systems with a high need for maintenance. In wind energy, variable speed technology has already proven its advantages compared to other mechanical technologies. General Information: Unlike earlier approaches with a combination of double regulated turbines and variable speed in a new installation, in this project the combination of a Francis turbine (respectively a water wheel) in existing plants together with a frequency converter will be used to increase part load efficiency and design flow of the system. Only the new IGBT controlled converters which are now used in wind energy as well as in motive power industry appliances can guarantee a reliable variable speed operation of a normal asynchronous generator. The combination of the movable weir and variable speed operation of the water wheel will allow to optimise the power output of the plant under all conditions. The use of an IGBT converter makes it possible to compensate reactive power to improve the mains performance. Due to detailed theoretical analysis and according to the positive experience with variable speed operation in wind energy and motive power technology, the expected increase of the annual power output of the two plants is in the range of 10 to 20 per cent of the actual value. This will reduce the specific cost of the electricity by the same range. For the actual payback tariffs of many European countries, this will increase the number of feasible low head sites. The top water level control by variation of turbine speed (and so flow) will be demonstrated to show a simple, reliable and energy saving alternative to the old hydraulic systems, which are still installed in many sites. The success of the variable speed system in this plants will open a big European SME market for cheap technological improvement of small hydropower plants and low head sites. The monitored performance of the plants data will be stored in a data logger with a modem, to allow automatic down-loading from a server-PC via modem. ... Prime Contractor: Universität Kassel, Fachbereich Elektrotechnik/Informatik, Institut für Elektrische Energietechnik - IEE; Kassel; Germany.

Model Output Statistics for Jülich (Kläranlage) (H718)

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 KABUL AIRPORT (40948)

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 RIED IM INNKREIS (TAWES) (11053)

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 Groß Kreutz (F520)

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 SEYCHELLES AERO/MAHE (63980)

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 ]

Regionales Grundwassermonitoring - Ressourcen-Management für den Erftverband, Bergheim

Der Erftverband ist ein wasserwirtschaftliches Dienstleistungsunternehmen mit einem, im südwestlichen Nordrhein-Westfalen gelegenen, Gesamtgebiet von über 4.000 km2 und rund 2,7 Millionen Einwohnern. Dieses dicht besiedelte Gebiet umfasst mehrere größere Städte als auch Europas größten Braunkohletagebau. Da das Grundwasser nicht nur durch mehrere örtliche Wasserversorger, sondern auch durch die Wasserhaltungsmaßnahmen im Zusammenhang mit dem Braunkohletagebau stark beeinflusst wird, ist die Überwachung der Grundwasserentwicklung in dieser Region von größter Wichtigkeit. ribeka ist verantwortlich für das regelmäßige hydraulische Monitoring der über 2.400 GW-Messstellen des gesamten Verbandsgebietes. Die Daten werden mit modernen PDAs und GW-Mobil im Feld erfasst, die automatischen Datenlogger ausgelesen. Mit Hilfe der Grundwasser Management Software GW-Base werden die Daten auf Plausibilität überprüft, ausgewertet und bereitgestellt.

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