This is a demo of how the use ERA5 data and MODIS data to find extreme events, defined as dates where the observations are above the 90th or below the 10th percentile, these areas will be shown as shaded areas.
- The demo shows the ERA5 2m temperature, total precipitation, wind power for Europe and the US from 1979 to 2019 and MODIS LAI monthly averages for the US and Europe from 2002 to 2019.
- The upper panel depicts the standarised anomalies as the number of standard deviations that the observations depart from the climatology.
- The lower panel shows total precipitation the time series
- Click on
to launch the Binder environment and then select one of the following Jupyter Notebooks:
- For multivariate analysis:
- Assimila_ERA5_anomalies_analysis_Europe.ipynb
- Assimila_ERA5_MODIS_LAI_anomalies_analysis_Europe.ipynb
- Assimila_ERA5_anomalies_analysis_US.ipynb
- For univariate analysis:
- t2m.ipynb
- total_precipitation.ipynb
- wind_power.ipynb
- For multivariate analysis:
It might take a couple of minutes to launch. Once you opened a Jupyter Notebook you might be asked to trust the Notebook, please click on Trust Notebook and then Trust.