data: root mean sq [ mean $integral dT$ ( ENACTS version0 dekadal rainfall SPI_1

root mean sq [ mean ∫dT ( ENACTS version0 dekadal rainfall SPI_1_dekad ) climatology ]: Standard Precipitation Index 1-dekad data

dekadal rainfall SPI_1_dekad int_dT int_dT int_dT Standard Precipitation Index 1-dekad from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 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

days

standard units*

86400 second

history

mean $integral dT$ [ ENACTS version0 dekadal rainfall SPI_1_dekad ] climatology

Averaged over Y[11.8S, 23.15N] minimum 0.0% data present
Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2022 - 25 Dec 2023] minimum 0.0% data present

root mean sq [ mean $integral dT$ ( ENACTS version0 dekadal rainfall SPI_1_dekad ) climatology ]

Averaged over T[0000 1 Jan, 2359 20 Dec] 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

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root mean sq [ mean $integral dT$ ( ENACTS version0 dekadal rainfall SPI_1_dekad ) climatology ][ X \|]	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 X
Differentiate along X
Take differences along X