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root mean sq [ NextGen CPT 1p0 Guatemala ExtraVars PoM ]: Porcentaje de Mediana data
root mean sq [ NextGen CPT 1p0 Guatemala ExtraVars PoM ].Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- percentile
- grid: /percentile (unitless) ordered [ (0.5)] :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (13N) to (18N) by 1.0 N= 6 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- prcp_anomaly_25max500_colors2_percentmedian
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- fnname
- maskge
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- percent
- standard units*
- 0.01
- history
- root mean sq [ NextGen CPT 1p0 Guatemala ExtraVars PoM ]
- percentiles computed over S2:16 Dec 1982 - 15 Dec 2009 0% min data present
Averaged over X[92.5W, 87.5W] S[0000 1 Jan 2019, 0000 1 Jan 2021] minimum 0.0% data present
- percentiles computed over S2:16 Dec 1982 - 15 Dec 2009 0% min 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 | percentile | Y | |
 root mean sq [ NextGen CPT 1p0 Guatemala ExtraVars PoM ] 0.5 2.5 months[ Y percentile L |] | 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 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