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root mean sq anom ∂Y [ NextGen CPT 1p0 Guatemala ExtraVars Anomaly ] : ∂Y Anomalía data
root mean sq anom ∂Y [ NextGen CPT 1p0 Guatemala ExtraVars Anomaly ] .Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (13.5N) to (17.5N) by 1.0 N= 5 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- prcp_anomaly
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.0572957795130823 meter radian-1 north
- history
- root mean sq anom $partialdiff sub Y$ [ NextGen CPT 1p0 Guatemala ExtraVars Anomaly ]
- Averaged over S2[16 Dec 1982 - 15 Dec 1983, 16 Dec 2008 - 15 Dec 2009] minimum 0.0% data present
Averaged over X[92W, 88W] S[0000 1 Jan 2019, 0000 1 Jan 2021] minimum 0.0% data present
- Averaged over S2[16 Dec 1982 - 15 Dec 1983, 16 Dec 2008 - 15 Dec 2009] minimum 0.0% data present
Last updated: Fri, 05 Nov 2021 18:02:01 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter| L | Y | |
 root mean sq anom $partialdiff sub Y$ [ NextGen CPT 1p0 Guatemala ExtraVars Anomaly ] 2.5 months[ Y L |] | M | M |
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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
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units