- geocat.comp.climatologies.climatology_average(dset, freq, custom_seasons=None, time_dim=None, keep_attrs=None)#
This function calculates long term hourly, daily, monthly, or seasonal averages across all years in the given dataset.
str) – Frequency alias. Accepted alias:
hour: for hourly averages
day: for daily averages
month: for monthly averages
season: for meteorological seasonal averages (default: DJF, JJA, MAM, and SON)
str, optional) – The list of 3-months season aliases or a single seaonal alias string. Analysis is done on the provided seasons. This parameter will be ignored if the freq is not set to season. Accepted alias:
DJF : for a season of December, January, and February
JFM : for a season of January, February, and March
FMA : for a season of February, March, and April
MAM : for a season of March, April, and May
AMJ : for a season of April, May, ad June
MJJ : for a season of May, June, and July
JJA : for a season of June, July, and August
JAS : for a season of July, August, and September
ASO : for a season of August, September, and October
SON : for a season of September, October, and November
OND : for a season of October, November, and December
NDJ : for a season of November, December, and January
str, optional) – Name of the time coordinate for xarray objects. Defaults to
Noneand infers the name from the data.
bool, optional) – If True, attrs will be copied from the original object to the new one. If False, the new object will be returned without attributes. Defaults to None which means the attrs will only be kept in unambiguous circumstances.
Seasonal averages are weighted based on the number of days in each month. This means that the given data must be uniformly spaced (i.e. data every 6 hours, every two days, every month, etc.) and must not cross month boundaries (i.e. don’t use weekly averages where the week falls in two different months)