Database maintenance from 23-Oct-2024 to 30-Oct-2024From 23-Oct-2024 8:00 CEST to 30-Oct-2024 18:00 CEST we will migrate the WDCC database to a new server. During this time metadata input using the metaXA and citeXA applications and DOI registrations will not be available. Data download will still be possible, with the exception of short interruptions, however no new user accounts will be created during the maintenance.
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
nuArctic (Towards a better understanding of the nutrient cycles in the ‘new’ Arctic Ocean and implications for future primary productivity and carbon export)
The Arctic is warming more than twice as fast as temperate regions due to anthropogenic Climate Change, and summer sea-ice is expected to vanish by the middle of the century. In this context, we hypothesize
This dataset contains a 30-year high resolution meteorological dataset obtained using the WRF model (Advanced version Research WRF version 4.4). We used WRF and European Centre for Medium-Range Weather
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
In this project, the impact of selected climate adaptation measures on the climate of the metropolitan region of Hamburg is quantified. The impact of different climate adaptation measures like green roofs,
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
Annual maxima of sub-daily precipitation were extracted from each of 35 members of a EURO-CORDEX ensemble with a spatial resolution of 0.11° (EURO-CORDEX: https://www.euro-cordex.net/). Precipitation durations
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
IceCloudNet (https://arxiv.org/abs/2410.04135) is a deep learning model that maps between geostationary data and vertically resolved DARDAR and DARDAR-Nice data. IceCloudNet is able to adequately reconstruct