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∫dS ∂X [ ZMD CPT CanSIPSv2 xValPred ] : ∂X Cross-Validated Hindcasts data
CPT CanSIPSv2 xValPred partial_X partial_X int_dS ∂X Cross-Validated Hindcasts from ZMD: Zambia Meteorological Department.Independent Variables (Grids)
- S
- grid: /S (months since 1960-01-01) ordered (16 Dec 1981 - 15 Jan 1982) to (16 Nov 2010 - 15 Dec 2010) by 1.0 N= 348 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (20.22545E) to (33.77455E) by 0.2509091 N= 55 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (17.77436S) to (8.225641S) by 0.251282 N= 39 pts :grid
Other Info
- CE
- null
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.00477464829275686 meter radian-1 east year
Last updated: Thu, 28 Jan 2021 07:10:50 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| S | X | Y | |
 $integral dS$ $partialdiff sub X$ [ ZMD CPT CanSIPSv2 xValPred ] [ S | X Y] | M | M | 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 S X Y
- Differentiate along S X Y
- Take differences along S X Y
RMS (root mean square with mean *not* removed) over S X Y | S X S Y X Y | S X Y |
RMSA (root mean square with mean removed) over S X Y | S X S Y X Y | S X Y |
Maximum over S X Y | S X S Y X Y | S X Y |
Minimum over S X Y | S X S Y X Y | S X Y |
Detrend (best-fit-line) over S X Y | S X S Y X Y | S X Y |
Note on units