Meteorology and hydroclimate observations and models
- Submission status
- Closed
- Submission deadline
Improving the performance and spatial and temporal coverage of climate models is of vital importance in assessing the impacts of climate change. Weather data is of particular importance for assessing the fidelity of predictions of changes in rainfall, land use, water resources and food security, and for assessing future impacts and risks.
This Collection presents a series of articles describing hydroclimate datasets, including data sourced from remote sensing, primary measurements or theoretical models. Datasets are presented without analyses in order to support policy development and further research, with Data Descriptors providing full details of data sources, modelling, and any associated code.
Editors
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Nans Addor
Fathom, UK
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Darren L. Ficklin
Indiana University-Bloomington, USA
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Ben Livneh
University of Colorado Boulder, USA
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Juliane Mai
Helmholtz Centre for Environmental Research (UFZ), Germany; Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Germany
