ICON is a flexible, scalable, high-performance modelling framework for
weather, climate and environmental prediction that provides actionable
information for society and advances our understanding of the Earth's
climate system.
The primary goal of HadCRU_MLE is to combine instrumental observations with physically realistic statistical models to produce maximum likelihood estimates of surface temperature anomalies and other physical
The overarching goal of the project Modular System for Shelves and Coasts (MOSSCO, www.mossco.de) was to bring together the distributed capacities in coastal ocean modelling in Germany and to build a common
The project is aligned to the CMIP6 project. It includes datasets of variables, which result from CMIP6 MIPs, but are not part of the CMIP6 MIP tables.
Knowledge of small-scale rainfall variability is needed for several meteorological and hydrological applications. For this purpose, the University of Hamburg operates two local area weather radars (LAWR)
The high-resolution reanalysis system COSMO-REA6 has been developed based on the NWP model COSMO in a cooperation between Hans-Ertel-Centre for Weather Research (HErZ) and the German Meteorological Service
In order to better understand the global coastal systems and the dangers and risks associated with them, it is important to examine the atmosphere, the land, hydrology, the ocean and especially their interactions
CoastDat-3 (https://www.coastdat.de/about_us/) comprises a compilation of consistent hindcasts obtained from numerical models. The atmospheric part of the dataset is simulated by using the COSMO in CLimate
Climate data at very-high resolution (1 km spatial resolution) for Sierra Nevada, the highest mountain region in the Iberian Peninsula located in southeastern Andalusia (Spain) https://smartecomountains.lifewatch.dev/.
nextGEMS is a collaborative European project. Funded by the EU’s Horizon 2020 programme, it will tap expertise from fourteen European Nations to develop two next generation (storm-resolving) Earth-system