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root mean sq anom root mean sq ∂Y ∂X [ CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 BELOW ] : ∂Y ∂X ROC ( Bajo ) - Rayos data
root mean sq anom root mean sq ∂Y ∂X [ CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 BELOW ] .Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (24.9N) to (3.1N) by 0.1 N= 219 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- correlationcolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- 3282.80635001174 radian-2 east
- history
- root mean sq anom root mean sq $partialdiff sub Y$ $partialdiff sub X$ [ CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 BELOW ]
- Averaged over S[Jan 2013, Nov 2013] minimum 0.0% data present
Averaged over X[94.90002W, 57.09998W] minimum 0.0% data present
- Averaged over S[Jan 2013, Nov 2013] minimum 0.0% data present
Last updated: Thu, 08 Aug 2019 20:09:33 GMT
Expires: Thu, 05 Sep 2019 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter
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