easyclimate.field.air_sea_interaction.index_iod

Indian Ocean Dipole (IOD) Index

Functions

calc_index_IOD_Saji_1999(, lon_dim, lat_dim, time_dim, ...)

The calculation of monthly mean Indian Ocean Dipole (IOD) index (i.e., Dipole Mode Index; DMI) is constructed by following method:

Module Contents

easyclimate.field.air_sea_interaction.index_iod.calc_index_IOD_Saji_1999(sst_monthly_data: xarray.DataArray, time_range: slice = slice(None, None), lon_dim: str = 'lon', lat_dim: str = 'lat', time_dim: str = 'time', normalized: bool = False) → xarray.DataArray

The calculation of monthly mean Indian Ocean Dipole (IOD) index (i.e., Dipole Mode Index; DMI) is constructed by following method:

The difference in SST anomaly between the tropical western Indian Ocean (50°E-70°E, 10°S-10°N) and the tropical south-eastern Indian Ocean (90°E-110°E, 10°S-Equator).

Parameters

sst_monthly_data: xarray.DataArray.

The monthly sea surface temperature (SST) dataset.

time_range: slice, default: slice(None, None).

The time range of seasonal cycle means to be calculated. The default value is the entire time range.

lon_dim: str, default: lon.

Longitude coordinate dimension name. By default extracting is applied over the lon dimension.

lat_dim: str, default: lat.

Latitude coordinate dimension name. By default extracting is applied over the lat dimension.

time_dim: str, default: time.

The time coordinate dimension name.

normalized: bool, default True, optional.

Whether to standardize the index based on standard deviation over time_range.

Returns

The monthly mean IOD index (xarray.DataArray).

Reference