DataWave is an international consortium dedicated to improving our understanding and representation of gravity waves. The DataWave project focuses on enhancing our modeling capability for gravity waves
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
The Qinghai-Tibet Plateau, known for its high altitude, cold climate, and fragile ecosystem, presents unique challenges and opportunities for the implementation of an intelligent sponge urban system. The
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
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
From the last interglacial to the anthropocene - modeling a complete glacial cycle.
The PalMod project (https://www.palmod.de/) aims for a better understanding of how slow feedbacks in the Earth system
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/.
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
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