easyclimate.field.teleconnection.index_ea¶
The eastern Atlantic (EA) pattern
Functions¶
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The calculation of monthly mean eastern Atlantic (EA) index using Pointwise method following Wallace and Gutzler (1981): |
Module Contents¶
- easyclimate.field.teleconnection.index_ea.calc_index_EA_Wallace_Gutzler_1981(z_monthly_data: xarray.DataArray, time_range: slice = slice(None, None), lon_dim: str = 'lon', lat_dim: str = 'lat', time_dim: str = 'time', normalized: bool = True) xarray.DataArray¶
The calculation of monthly mean eastern Atlantic (EA) index using Pointwise method following Wallace and Gutzler (1981):
\[\mathrm{EA = \frac{1}{2} Z^*(55^{\circ}N, 20^{\circ}W) - \frac{1}{4} Z^*(25^{\circ}N, 25^{\circ}W) - \frac{1}{4} Z^*(50^{\circ}N, 40^{\circ}E)}\]where \(Z^*\) denotes monthly mean 500 hPa height anomaly.
Parameters¶
- z_monthly_data:
xarray.DataArray. The monthly geopotential height. The 500hPa layer is recommended.
- 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.
Returns¶
The monthly mean EA index (
xarray.DataArray).Reference¶
- z_monthly_data: