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max ∂S root mean sq ∫dS ∂S [ ZMD CPT CanSIPSv2 xValPred ] : ∂S ∂S Cross-Validated Hindcasts data
CPT CanSIPSv2 xValPred partial_S int_dS int_dS partial_S ∂S ∂S Cross-Validated Hindcasts from ZMD: Zambia Meteorological Department.Independent Variables (Grids)
- S
- grid: /S (months since 1960-01-01) ordered (Jan 1982) to (Nov 2010) by 1.0 N= 347 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- max $partialdiff sub S$ root mean sq $integral dS$ $partialdiff sub S$ [ ZMD CPT CanSIPSv2 xValPred ]
- Averaged over X[19.97455E, 34.02546E] minimum 0.0% data present
max over Y[17.9S, 8.1S]
- Averaged over X[19.97455E, 34.02546E] 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 S
- Differentiate along S
- Take differences along S
RMS (root mean square with mean *not* removed) over S |
RMSA (root mean square with mean removed) over S |
Maximum over S |
Minimum over S |
Detrend (best-fit-line) over S |
Note on units