I have a netCDF file that contains daily gridded hurs data. The file currently has 357 time steps (instead of 365) because it is missing specific days (I have listed them below). I want to insert the missing days and assign them Nan values, keeping all other data the same, and the file structure the same. How can I do this?
missing_dates = ['2022-03-01', '2022-04-01', '2022-05-01', '2022-06-01', '2022-07-01',
'2022-08-01', '2022-09-01', '2022-10-01']
....
print(dsh4)
<xarray.Dataset>
Dimensions: (time: 357, y: 497, x: 477, bnds: 2)
Coordinates:
height float64 ...
lat (y, x) float64 ...
lon (y, x) float64 ...
* time (time) object 2022-01-01 12:00:00 ... 2022-12-31 12:00:00
* x (x) float64 -5.95e+06 -5.925e+06 -5.9e+06 ... 5.925e+06 5.95e+06
* y (y) float64 -6.2e+06 -6.175e+06 -6.15e+06 ... 6.175e+06 6.2e+06
Dimensions without coordinates: bnds
Data variables:
crs |S1 ...
hurs (time, y, x) float32 ...
time_bnds (time, bnds) object ...
Attributes: (12/153)
project_id: CORDEX
ipcc_scenario_code: RCP85
institute_id: ICTP
note: The domain is larger than AFR-22
comment: RegCM CORDEX Africa run
experiment: AFR-22
... ...
driving_experiment: NCC-NorESM1-M, rcp85, r1i1p1
driving_model_id: NCC-NorESM1-M
model_id: ICTP-RegCM4-7
creation_date: 2018-12-19-T23:13:30Z
tracking_id: hdl:21.14103/b4b5f875-fdfe-4ef...
c3s_disclaimer: This data has been curated and...