served from 129.236.110.25
root mean sq [ ALISIOS NextGen CHIRPS Seasonal OLE2 NCEP-CFSv2 Skill ROCBelow ]: ROC Below - CCA Deterministic Hindcasts data
ROCBelow ROCBelow ROC Below - CCA Deterministic Hindcasts from ALISIOS NextGen CHIRPS Seasonal OLE2 NCEP-CFSv2 Skill: Forecast Skills.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered (2.5 months) to (4.5 months) by 1.0 N= 3 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (32.6663N) to (49.975S) by 0.10005 N= 827 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- correlationcolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999
- maxncolor
- 254
- missing_value
- NaN
- history
- Averaged over X[117.7337W, 28.2337W] S[Jan 1960, 2400 31 Dec 1960] minimum 0.0% data present
Last updated: Sat, 15 Mar 2025 13:00:00 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| L | Y | |
 ALISIOS NextGen CHIRPS Seasonal OLE2 NCEP-CFSv2[Skill
History
Forecast
] | ||
 root mean sq [ ALISIOS NextGen CHIRPS Seasonal OLE2 NCEP-CFSv2 Skill ROCBelow ][ Y | L] | 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 Y L
- Differentiate along Y L
- Take differences along Y L
RMS (root mean square with mean *not* removed) over Y L | Y L |
RMSA (root mean square with mean removed) over Y L | Y L |
Maximum over Y L | Y L |
Minimum over Y L | Y L |
Detrend (best-fit-line) over Y L | Y L |
Note on units