data: min [ root mean sq ( ENACTS version0 dekadal rainfall SPI_1

min [ 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 Standard Precipitation Index 1-dekad from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (21-30 Sep 2024)] N= 1575 pts :grid

Other Info

bufferwordsize

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 ]
Averaged over Y[11.8S, 23.15N] minimum 0.0% data present

root mean sq [ ENACTS version0 dekadal rainfall SPI_1_dekad ] climatology

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

min [ root mean sq ( ENACTS version0 dekadal rainfall SPI_1_dekad ) anomalies ]

min over X[21.855E, 51.455E]

Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 2024 00:00:00 GMT

Data Views

	T
min [ root mean sq ( ENACTS version0 dekadal rainfall SPI_1_dekad ) anomalies ][ T \|]	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
Differentiate along T
Take differences along T