served from digilib.icpac.net
mean mean root mean sq [ ENACTS version0 dekadal rainfall SPI_1_dekad anomalies ] : Standard Precipitation Index 1-dekad data
dekadal rainfall SPI_1_dekad SPI_1_dekad SPI_1_dekad SPI_1_dekad Standard Precipitation Index 1-dekad from ENACTS version0: version 0: CHIRPS-BLENDED and CRU. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- units
- unitless
- history
- root mean sq [ ENACTS version0 dekadal rainfall SPI_1_dekad anomalies ]
- Averaged over T2[1981, 2357 30 Dec 2022 - 2357 30 Dec 2023] minimum 0.0% data present
Averaged over T[1-10 Jan 1981, 0144 1 Oct 2024] minimum 0.0% data present
mean root mean sq [ ENACTS version0 dekadal rainfall SPI_1_dekad anomalies ]- Averaged over X[21.83E, 51.48E] minimum 0.0% data present
mean mean root mean sq [ ENACTS version0 dekadal rainfall SPI_1_dekad anomalies ]- Averaged over Y[11.8S, 23.15N] minimum 0.0% data present
- Averaged over T2[1981, 2357 30 Dec 2022 - 2357 30 Dec 2023] minimum 0.0% data present
Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 2024 00:00:00 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units