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
The SIGNAL project is dedicated to quantifying the impacts of climate change on dairy cattle, with a primary focus on the challenges posed by heat stress due to rising temperatures and humidity levels.
The ClimAVA (https://climate.usu.edu/climava/) dataset provides high-resolution (4km), bias-corrected, downscaled future climate projections derived from 17 CMIP6 General Circulation Models. It includes
The consortial project ESCiMo targets on coupled chemistry-climate-simulations using the European Centre for Medium-Range Weather Forecasts – Hamburg (ECHAM)/Modular Earth Submodel System (MESSy) Atmospheric
Development of a new generation of advanced and well-evaluated high-resolution global climate models, capable of simulating and predicting regional climate with unprecedented fidelity, for the benefit of governments, business and society in general.
IceCloudNet is a deep learning model that maps between geostationary data and vertically resolved DARDAR and DARDAR-Nice data. IceCloudNet is able to adequately reconstruct the vertical cloud structure
CoastDat-4 (https://www.coastdat.de/about_us/) comprises a compilation of consistent hindcasts obtained from numerical models. The dataset's atmospheric part is simulated using the COSMO in CLimate Mode
The weather type and gale catalogues of the Federal Maritime and Hydrographic Agency of Germany (BSH) provide a classification of the pattern and intensity of the general atmospheric circulation over the
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
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
Influences of climate change on urban climate are often investigated in the context of increased values for high temperatures or precipitation extremes. As a consequence, many studies concentrate on the
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