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Found 3 result(s)

Collaborative Research Centre Transregio 32 Database

TR32DB

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In the framework of the Collaborative Research Centre/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation’ (CRC/TR32, www.tr32.de), funded by the German Research Foundation from 2007 to 2018, a RDM system was self-designed and implemented. The so-called CRC/TR32 project database (TR32DB, www.tr32db.de) is operating online since early 2008. The TR32DB handles all data including metadata, which are created by the involved project participants from several institutions (e.g. Universities of Cologne, Bonn, Aachen, and the Research Centre Jülich) and research fields (e.g. soil and plant sciences, hydrology, geography, geophysics, meteorology, remote sensing). The data is resulting from several field measurement campaigns, meteorological monitoring, remote sensing, laboratory studies and modelling approaches. Furthermore, outcomes of the scientists such as publications, conference contributions, PhD reports and corresponding images are collected in the TR32DB.

LinkedEarth Wiki

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LinkedEarth is an EarthCube-funded project aiming to better organize and share Earth Science data, especially paleoclimate data. LinkedEarth facilitates the work of scientists by empowering them to curate their own data and to build new tools centered around those.

ACTRIS-ARES Data Portal

ACTRIS ARES DC Unit

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ARES (Aerosol Remote Sensing) is the ACTRIS (Aerosol, Cloud and Trace Gases Research Infrastructure) Data Centre unit for aerosol remote sensing profiling. ACTRIS-ARES host and manage the ACTRIS-EARLINET database, that represents a comprehensive, quantitative, and statistically significant collection of data for the aerosol distribution on European scale. ARES provides data curation, data processing and data access services for ACTRIS aerosol remote sensing data coming from lidar and photometer observations. Additionally, ARES hosts and manage the EARLINET web site and offers data services and digital tools to EARLINET and beyond. Major objectives also include the development and validation of new synergetic remote sensing algorithms, and the continuous evaluation of the representation of atmospheric aerosol parameters in climate and weather forecast models.