jweisbaum wrote:

Also, if you find this technique helpful, consider sharing your script on GitHub. That way everyone can benefit and we can build a database of scripts for sailors to convert reanalysis into a useful format for Expedition.

I will do!

Your weather tools Docker container looks extremely handy btw. I'll try it out tomorrow.

There are some pretty clear instructions on getting started with the cdsapi here: https://cds.climate.copernicus.eu/api-how-to

You need to register for an api key (and put it in a configuration file that can be found by the module), install the cdsapi module, and then you can write scripts to download whatever you want. Below I've pasted in a script I wrote to download gribs for some post-race analysis on this year's Azores and Back Race (apologies, I'm not sure how to paste it in without the formatting getting mangled, but I'm sure you can sort that aspect out...there are also lots of example scripts on the Copernicus site). If you have any specific problems do ask and I'll help if I can.

--Kass

import cdsapi 
c = cdsapi.Client() 
c.retrieve(    'reanalysis-era5-single-levels',    {        'product_type':'reanalysis',        'variable':[            '10m_u_component_of_wind','10m_v_component_of_wind','mean_sea_level_pressure'        ],        'year': '2019',        'month':'06',        'day':[            '18','19','20',            '21','22','23',            '24','25','26',            '27','28','29',            '30','31'        ],        'area': [51, -26, 37, -4],        'time':[            '00:00','01:00','02:00',            '03:00','04:00','05:00',            '06:00','07:00','08:00',            '09:00','10:00','11:00',            '12:00','13:00','14:00',            '15:00','16:00','17:00',            '18:00','19:00','20:00',            '21:00','22:00','23:00'        ],        'format':'grib'    },    'azab_2_wind_pressure.grib')

from climate.copernicus.eu climate-reanalysis:
ERA5TPreliminary data for ERA5 will be published daily, within seven days from real-time, and stored in a separate dataset (ERA5T). This service will be available later in 2019.

^^^ it's now 'later in 2019', and as promised preliminary data for the latest European Reanalysis is now available with only a 5 day lag (previously the wait was 3 months). Christmas has come early!

-Kass