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∫dT root mean sq anom [ ICPAC CHIRP-BLENDED seasonal rainfall spi ] climatology: Standardized Precipitation Index data
∫dT root mean sq anom [ ICPAC CHIRP-BLENDED seasonal rainfall spi ] climatology.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (0000 1 Feb) to (0000 1 Jan) by 1.0 N= 12 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.775S) to (23.125N) by 0.05 N= 699 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 3
- units
- months
- standard units*
- 0.0833333333333333 year
- history
- $integral dT$ root mean sq anom [ ICPAC CHIRP-BLENDED seasonal rainfall spi ] climatology
- Averaged over X[21.855E, 51.455E] minimum 0.0% data present
Averaged over T2[16 Jan 1981 - 15 Jan 1982, 16 Jan 2016 - 15 Jan 2017] minimum 0.0% data present
- Averaged over X[21.855E, 51.455E] minimum 0.0% data present
Last updated: Thu, 17 Dec 2020 09:38:54 GMT
Expires: Wed, 10 May 2017 00:00:00 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | Y | |
 $integral dT$ root mean sq anom [ ICPAC CHIRP-BLENDED seasonal rainfall spi ] climatology[ T | 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 T Y
- Differentiate along T Y
- Take differences along T Y
RMS (root mean square with mean *not* removed) over T Y | T Y |
RMSA (root mean square with mean removed) over T Y | T Y |
Maximum over T Y | T Y |
Minimum over T Y | T Y |
Detrend (best-fit-line) over T Y | T Y |
Note on units