data: mean $integral dS$ $integral dX$ [ ZMD CPT CanSIPSv2 xValPred ]

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mean ∫dS ∫dX [ ZMD CPT CanSIPSv2 xValPred ] : Cross-Validated Hindcasts data

CPT CanSIPSv2 xValPred int_dX int_dX int_dS Cross-Validated Hindcasts from ZMD: Zambia Meteorological Department.

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (17.77436S) to (8.225641S) by 0.251282 N= 39 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -999.0
missing_value: NaN
pointwidth: 0
units: 1.45444104332861×10^-06 meter radian east year
history: Averaged over S[0000 16 Dec 1981, 0000 16 Dec 2010] X[19.97455E, 34.02546E] minimum 0.0% data present

Last updated: Thu, 28 Jan 2021 07:10:50 GMT

Data Views

	Y
mean $integral dS$ $integral dX$ [ ZMD CPT CanSIPSv2 xValPred ] [ \| Y]	M

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along Y
Differentiate along Y
Take differences along Y