This project investigates the impact of regional gravity wave (GW) drag hotspots in the Northern Hemisphere on middle atmosphere dynamics using the UA-ICON (Upper Atmosphere ICON, a high-top model with
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
The EU Horizon 2020 project PolarRES (https://polarres.eu) aims to improve regional climate information to support impact assessments in the Arctic and Antarctic. To this end, high-resolution climate projections
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
CLICCS will explore climate change with broad expertise. CLICCS will investigate how the climate changes and how society changes with it, thereby feeding back on climate. Understanding these changes, including
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
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
LAMACLIMA (Output of two-phase Earth system model simulations for LAMACLIMA: idealized global land-use and high-ambition future mitigation land-use scenarios.)
LAnd MAnagement for CLImate Mitigation and Adaptation (LAMACLIMA) enhances understanding of the coupled effects between climate and land cover/land management (LCLM), informing sustainable land-based adaptation
DataWave (https://datawaveproject.github.io/) is an international consortium dedicated to improving our understanding and representation of gravity waves. The DataWave project focuses on enhancing our
The optimal planning of wind energy capacity expansion in the complex terrain of Ecuador requires reliable meteorological datasets. However, a review of existing datasets revealed a lack of adequate, long-term,
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
This dataset includes consistent marine future scenarios for the North Sea for water levels, currents and sea states, and for the Baltic Sea for sea states only, based on CMIP5 scenarios. The data are