Open marujore opened 5 months ago
I am downloading the data daily with cdsapi:
import os
import cdsapi
startdate = <INSERT DATE LIKE THIS "%Y-%m-%d">
target_dir = <INSERT DIR>
enddate = startdate
date = startdate + "/" + enddate
target_file = os.path.join(target_dir, "CAMS_archive_aod550_tcwv_msl_gtco3_analysis_0H_6H_12H_18H_{0}.nc".format(startdate))
server = cdsapi.Client()
server.retrieve(
'cams-global-atmospheric-composition-forecasts',
{
'variable': [
'total_aerosol_optical_depth_550nm', 'total_column_water_vapour', 'mean_sea_level_pressure', 'total_column_ozone',
],
'date': date,
'time': [
'00:00', '06:00', '12:00', '18:00',
],
'leadtime_hour': '0',
'type': 'analysis',
'format': 'netcdf',
},
target_file)
Hi, On page 49 of the User Manual
5.2.4 CAMS data:
For enabling the use of CAMS data in Sen2Like, the database must be prepared.
Note The CAMS monthly database for the Year 2020 is available here: http://185.178.85.51/CAMS/
I sucesfully used the database to run sen2like on 2020 data. Is there any documentation that I can follow to prepare CAMS data for other Years?
Also, On page 50 one can read:
If CAMS is not configured, a default AOT value will be used.
How worse is this default AOT value in comparison to CAMS?