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A dataset for predicting cloud cover over Europe.

Hanna Svennevik1, Steven A Hicks2, Michael A Riegler2,3

  • 1University of Oslo, Department of Geosciences, 0315, Oslo, Norway.

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Future climate projections are uncertain due to cloud cover variability. This new European Cloud Cover dataset aids in predicting cloud fractional cover, potentially improving climate models.

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Area of Science:

  • Climate science
  • Atmospheric science
  • Meteorology

Background:

  • Accurate climate projections rely on understanding cloud dynamics.
  • Significant uncertainty exists in predicting future cloud fractional cover.
  • Existing datasets lack integrated cloud cover and environmental variables.

Purpose of the Study:

  • To introduce the European Cloud Cover dataset for improved climate modeling.
  • To facilitate learning statistical relationships between cloud cover and environmental factors.
  • To reduce uncertainty in future climate projections.

Main Methods:

  • Development of the European Cloud Cover dataset.
  • Utilizing a novel Area Weighting Regridding Scheme.
  • Mapping satellite observations to cloud fractional cover on a unified grid.

Main Results:

  • The European Cloud Cover dataset integrates cloud cover with other environmental variables.
  • Baseline experiments demonstrate the dataset's utility.
  • Autoregressive models successfully predict cloud fractional cover using the dataset.

Conclusions:

  • The European Cloud Cover dataset is a valuable resource for climate research.
  • The dataset enables the development of more accurate climate projection models.
  • Predicting cloud fractional cover is feasible with the presented dataset and methods.