data: max $integral dY$ [ ENACTS version0 dekadal rainfall SPI_1

max ∫dY [ ENACTS version0 dekadal rainfall SPI_1_dekad climatology ] : Standard Precipitation Index 1-dekad data

dekadal rainfall SPI_1_dekad SPI_1_dekad int_dY 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

degree_north

standard units*

0.0174532925199433 radian north

history

max $integral dY$ [ ENACTS version0 dekadal rainfall SPI_1_dekad climatology ]

Averaged over T2[1981, 2357 30 Dec 2022 - 2357 30 Dec 2023] minimum 0.0% data present
max over T[0000 1 Jan - 0000 11 Jan, 0000 21 Dec - 0000 1 Jan] Y[11.8S, 23.15N]

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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max $integral dY$ [ 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