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Found 3 result(s)

HALO database

High Altitude and LOng Range database

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HALO-DB is the web platform of a data retrieval and long-term archive system. The system was established to hold and to manage a wide range of data based on observations of the HALO research aircraft and data which are related to HALO observations. HALO (High-Altitude and LOng-range aircraft) is the new German research aircraft (German Science Community (DFG)). The aircraft, a Gulfstream GV-550 Business-Jet, is strongly modified for the application as a research platform. HALO offers several advantages for scientific campaigns, such as its high range of more than 10000 km, a high maximum altitude of more than 15 km, as well as a relatively high payload.

Arctic Data Centre

Arctic Data Centre of the Norwegian Meteorological Institute

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The Arctic Data Centre (ADC) is a service provided by the Norwegian Meteorological Institute (MET) and is a legacy of the International Polar Year (IPY). ADC is based on the FAIR guiding principles for data management and access to free and open data. While the Norwegian Meteorological Institute use CC BY as the data license, ADC is managing data on behalf of other data owners that may have other preferences. ADC is primarily hosting data within meteorology, oceanography and glaciology, but through active metadata harvesting it also points to data within other disciplines. ADC normally offers data in CF-NetCDF adhering to the Climate and Forecast Conventions (exceptions may occur) and support services on top of data like OPeNDAP and OGC WMS. Machine interfaces to the catalogue include OAI-PMH, OGC CSW and OpenSearch. Information is provided in the native format MET Metadata (MMD), ISO-19115 and GCMD DIF (others are being considered).

HyMeX

HYdrological cycle in the Mediterranean EXperiemnt

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HYdrological cycle in the Mediterranean EXperiemnt. Considering the science and societal issues motivating HyMeX, the programme aims to : improve our understanding of the water cycle, with emphasis on extreme events, by monitoring and modelling the Mediterranean atmosphere-land-ocean coupled system, its variability from the event to the seasonal and interannual scales, and its characteristics over one decade (2010-2020) in the context of global change, assess the social and economic vulnerability to extreme events and adaptation capacity.The multidisciplinary research and the database developed within HyMeX should contribute to: improve observational and modelling systems, especially for coupled systems, better predict extreme events, simulate the long-term water-cycle more accurately, provide guidelines for adaptation measures, especially in the context of global change.