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∂Y root mean sq anom [ ZMD CPT CanSIPSv2 xValPred ] : ∂Y Cross-Validated Hindcasts data
CPT CanSIPSv2 xValPred xValPred xValPred ∂Y Cross-Validated Hindcasts from ZMD: Zambia Meteorological Department.Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (17.64872S) to (8.351282S) by 0.251282 N= 38 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.0572957795130823 meter radian-1 north
- history
- Averaged over S[0000 1 Jan 1982, 0000 1 Dec 2010] X[20.1E, 33.9E] minimum 0.0% data present
Last updated: Thu, 28 Jan 2021 07:10:50 GMT
Data Views
Views
line plots
color bars
scatter
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
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units