Meteorology and hydroclimate observations and models

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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.

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Category 5 super typhoon from outer space view. The eye of the hurricane.


  • Nans Addor

    Fathom, UK

  • Darren L. Ficklin

    Indiana University-Bloomington, USA

  • Ben Livneh

    University of Colorado Boulder, USA

  • Juliane Mai

    Helmholtz Centre for Environmental Research (UFZ), Germany; Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Germany

Articles will be displayed here once they are published.