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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.
Scientific Data
|February 27, 2024
Summary
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.
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.
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