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root mean sq anom [ Ethiopia CPT NextGen MAM_PRCP Somali Models CanSIPSv2 History CrossValHind ]: cross-validated hindcasts data
CrossValHind cross-validated hindcasts from Ethiopia CPT NextGen MAM_PRCP Somali Models CanSIPSv2 History: Predictand, Hindcast and Skill.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic (35.125E) to (48.875E) 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
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- Averaged over S[0000 1 Jan 1983, 0000 1 Dec 2010] minimum 0.0% data present
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
line plots
color bars| X | Y | |
 root mean sq anom [ Ethiopia CPT NextGen MAM_PRCP Somali Models CanSIPSv2 History CrossValHind ][ | X Y] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units