Get Anomaly Data#

get_anom#

Get climate data anomaly

Parameter:#

  • DaArray (xr.DataArray): shape = (time, *number) original Dataarray

  • method (int, optional): method of getting anomaly.

    • 0 is Minus the multi-year average of the corresponding month

    • 1 is Remove the linear trend of the corresponding month

    • Defaults to 0.

  • Returns: anom (xr.DataArray): climate data anomaly

Example#

Load Module and Date#

[1]:

import sacpy as scp

sst = scp.load_sst()['sst']
ssta0 = scp.get_anom(sst,method=0)
ssta1 = scp.get_anom(sst,method=1)

plot and see difference between different methods#

[2]:

ssta0[-1].plot()

[2]:

<matplotlib.collections.QuadMesh at 0x158da92e0>
../_images/notebooks_GetAnom_4_1.png 
[3]:

ssta1[-1].plot()

[3]:

<matplotlib.collections.QuadMesh at 0x1595244c0>
../_images/notebooks_GetAnom_5_1.png

Reason#

Removing the linear trend has a great impact on the Indian Ocean, because the warming trend of the Indian Ocean is more obvious