The CLM-community provides a quality-checked ensemble of regional climate projections for Europe (EUR-12: at approx. 12 km) and for Mid Europe (MEU-3: at approx. 3 km). The regional climate model ICON-CLM
DAM_PrimePrevention (DAM PrimePrevention - Prediction of marine biological hazards to prevent socio-economic impacts; project: Monitoring, modelling and assessment of extreme weather events on marine biological hazards in the western Baltic Sea)
Due to the expected increase in extreme events, the risk of marine biological hazards in German coastal waters will rise. The focus of the project PrimePrevention (https://www.marextreme.de/primeprevention,
Unseen-awg is a method for generating long, multivariate, and spatiotemporal weather data representative of present-day climate by resampling historical weather datasets. It assures temporal consistency
The primary goal of DCENT_MLE is to combine instrumental observations with physically realistic statistical models to produce maximum likelihood estimates of surface temperature anomalies and other physical
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
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
This project, running from January 2023 to December 2026, will reveal and quantify the role of ocean mesoscale processes in shaping the climate trajectory over seasonal to centennial time scales. To this
OUTLAST (Development of an operational, multisectoral, global drought hazard prediction system: Bias correction of operational global seasonal predictions)
The overall objective of the OUTLAST project is to develop, in co-design with potential users, a global and operational drought forecasting system for rainfed agriculture, irrigated agriculture, water
The "Data Interoperability" administrative arrangement between DG AGRI and DG JRC aims to improve the integration of agricultural datasets. Work package 6 focuses on developing a comprehensive farm-level
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
Tropical cyclones, heatwaves and extreme droughts are examples of extreme climate events that are difficult to predict. Climate change has increased the likelihood and severity of such events, and predicting
This project investigates CO2 and CO dispersion, focusing on German metropolitan areas. Its aim is to provide a high-quality, high-resolution, long-term dataset of CO2 and CO concentrations and meteorology
This project investigates how intelligent sponge city technologies can mitigate urban heat islands (UHI) in the Qinghai-Tibet Plateau. It aims to develop scalable models for climate-resilient urban planning