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∂X [ Ethiopia CPT NextGen OND_PRCP Somali Models GFDL-CM2p5-FLOR-A06 History obs ]: ∂X input observations data
obs ∂X input observations from Ethiopia CPT NextGen OND_PRCP Somali Models GFDL-CM2p5-FLOR-A06 History: Predictand, Hindcast and Skill.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Oct-Dec 1982) to (Oct-Dec 2009) by 12.0 N= 28 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (35E) to (48.75E) by 0.25 N= 56 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.125N) to (11.875N) by 0.25 N= 36 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- null
- colorscalename
- precip_colors
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.687549354156988 meter radian-1 east year-1
Last updated: Fri, 27 Jan 2023 13:17:09 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub X$ [ Ethiopia CPT NextGen OND_PRCP Somali Models GFDL-CM2p5-FLOR-A06 History obs ][ X Y T |] | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units