import cdstoolbox as ct
def get_daily_mean_for_year_and_month(year, month):
print('get temperature', year, month)
temperature = ct.catalogue.retrieve(
'reanalysis-era5-single-levels',
{
'product_type': 'reanalysis',
'variable': '2m_temperature',
'year': str(year),
'month': str(month),
'day': [
'01', '02', '03',
'04', '05', '06',
'07', '08', '09',
'10', '11', '12',
'13', '14', '15',
'16', '17', '18',
'19', '20', '21',
'22', '23', '24',
'25', '26', '27',
'28', '29', '30',
'31',
],
'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',
],
}
)
print('got')
daily_mean = ct.climate.daily_mean(temperature)
print('daily_mean', year, month)
return daily_mean
def get_gdd_for_year(year):
by_month = [
get_daily_mean_for_year_and_month(year, month)
for month in range(1, 12+1)
]
daily_mean = ct.cube.concat(by_month, dim='time')
print('daily_mean')
gdd_min_temperature_celsius = 10
gdd = ct.cdstools.heuristics.growing_degree_days(
daily_mean,
gdd_min_temperature_celsius
)
print('gdd')
return gdd
@ct.application()
@ct.output.download()
def gdd_app():
by_year = [get_gdd_for_year(year) for year in range(2003, 2020+1)]
combined = ct.cube.concat(by_year, dim='time')
print('combined', ct.cdm.get_coordinates(combined))
return combined
Is the downloaded output of this code the average of 18 years GDD? or just for one year
Why 2020+1?