API src

Found 700 results.

Related terms

Waterbase - UWWTD: Urban Waste Water Treatment Directive – reported data

The Urban Waste Water Treatment Directive concerns the collection, treatment and discharge of urban waste water and the treatment and discharge of waste water from certain industrial sectors. The objective of the Directive is to protect the environment from the adverse effects of the above mentioned waste water discharges. This series contains time series of spatial and tabular data covering Agglomerations, Discharge Points, and Treatment Plants.

Noise data reported under Environmental Noise Directive (END)

The datasets includes 1) the noise exposure data, 2) the noise contours data, 3) razterized noise contours data and 4) potential quiet areas all under the terms of the Environmental Noise Directive (END). Data covers the EEA32 member countries and the United Kingdom (excluding Turkey for the third round of noise mapping in 2017).

Member States' greenhouse gas (GHG) emission projections

The Governance of the Energy Union and Climate Action ((EU) 2018/1999) requires Member States to report national projections of anthropogenic GHG emissions. Every two years, each EU Member State shall report GHG projections in a ‘with existing measures’ scenario for the years 2020, 2025, 2030, 2035, 2040, 2045 and 2050 by gas (or group of gases) and by sector. National projections shall take into consideration any policies and measures adopted at Union level. The reported data are quality checked by the EEA and its European Topic Centre for Climate Change Mitigation and Energy (ETC/CME).

Model Output Statistics for HARSTAD (01180)

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 VENABU (01380)

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 SARPSBORG (01493)

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 RYGGE (01494)

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 NAMSOS AP (01290)

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 ]

Sonderforschungsbereich Transregio 172 (SFB TRR): Arktische Verstärkung: Klimarelevante Atmosphären- und Oberflächenprozesse und Rückkopplungsmechanismen (AC)3, Teilprojekt B03: Charakterisierung von arktischen Mischphasenwolken durch flugzeuggetragene in-situ Messungen und Fernerkundung

Dieses Teilprojekt schlägt neuartige Beobachtungsstrategien für arktische Wolken vor durch Kombination von flugzeuggetragenen Fernerkundungsmethoden mit in-situ mikrophysikalischen Messungen von Wolken- und Aerosoleigenschaften. Unter der Verwendung von zwei nebeneinanderfliegenden Flugzeugen (Polar 5 & 6) wird es möglich sein die mikrophysikalischen Partikeleigenschaften innerhalb von Wolken gleichzeitig durch in-situ Sensoren zu messen. Ebenfalls wird die vertikale Säule und deren Strahlungseinfluss mittels Fernerkundungsmessungen oberhalb von Wolken gemessen. Beide Kampagnen werden im Sommer 2017 (ACLOUD, Svalbard) und Frühling 2019 (AFLUX, Svalbard und Grönland) durchgeführt um typische arktische Grenzschichtwolken als Teil der hauptsächlichen experimentellen Aktivitäten innerhalb des TR 172 zu untersuchen.

Horizont Europa SBEP 1: Entwicklung einer nachhaltigen blauen Wirtschaft, Von der Wissenschaft zur Politik-Bewertung der Auswirkungen und Entwicklung von Lösungen für Schiffsverkehr und Offshore-Windparks durch detaillierte Lärmkarten; Kosten-Nutzen-Analyse in der marinen Raumplanung

1 2 3 4 568 69 70