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).
One of the interesting things you can do with multiple climate models is to combine them into a multi-model ensemble.
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. It was July, during a heatwave strong enough to deserve a Wikipedia page.
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.
The Copernicus Climate Change (C3S) initiative and the CDS The best thing of the C3S is that they are trying to foster the creation of a ecosystem of data services and — not surprisingly — software (design, development, architecture) plays a critical role here.
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).
Given that I have no experience yet for this weather, I asked around how frequently this happens and I got diverse answers. Then, I have decided to look at some historical time-series of temperature and precipitation to try to satisfy my curiosity.