data analysis

How to create a multi-model of C3S Seasonal Forecasts with xarray and cfgrib

NOTE: this post has been updated. The previous code was based on the conversion of the GRIB files into NetCDF, which introduces unfortunately some issues. Among the data products of the Copernicus Climate Change (C3S) available through the Climate Data Store, there is a collection of seasonal forecasts, from the 13th November consisting of five different models (ECMWF, UK Met Office, Meteo-France, DWD and CMCC).

Temperature of European rivers and future climate in 50 lines of R code

During the last summer the water temperature in some important rivers (especially the Rhine and the Rhone) in central Europe was so high that some nuclear and coal power plants in Germany, France and Switzerland had to limit their generation or even shut down due to the regulations imposing them to do not discharge the warm water used for cooling the plant when the river temperature was too high.

The Copernicus toolbox and the role of software in climate services: why using Python

We can easily say that the Copernicus Climate Change (C3S) initiative is definitely shaping the field of climate services. I might have said “Climate Science” instead of “Climate Services”, but I want to focus here on the applicative side of the climate science.

Consecutive days of good weather in the Netherlands

I have recently moved in North Holland and in the past weeks the weather was particularly fortunate: for many (consecutive) days there was no rain and the temperature have been very high for this area (the maximum temperature was easily above 25° degrees).