CDO

Dear all,

I am trying to estimate the economic impact of climate change in France by doing an econometric analysis using temperature and economic variables. To do so, I need to extract daily temperature data for NUTS3 French regions and to arrange it as a table (where columns are variables and the rows are observations). The data comes from a gridded dataset for the 1950 to 2018 period with a 0.25x0.25 degrees resolution (http://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles). The final output should look like a table with the following variables in the columns: lat, lon (of the centroid of the NUTS3 regions), region id, year, day, temperature.

I am new to CDO and in handling climatic data and I am really trying hard to learn how to do it but I have had a lot of success. Reading in different forums I realized that one option could be to interpolate the data using a mask made from a shape file containing the French NUTS3 regions I am interested in. I am not sure whether this is the right choice.

Could you please give me some guidelines on how to do this?

Thanks in advance.

Camilo Bastias.