data: root mean sq [ ANACIM ENACTS version1 ALL dekadal SPI-rfe_merged

root mean sq [ ANACIM ENACTS version1 ALL dekadal SPI-rfe_merged_1-dekad anomalies climatology ]: Standard Precipitation Index 1-dekad data

version1 ALL dekadal SPI-rfe_merged_1-dekad SPI-rfe_merged_1-dekad SPI-rfe_merged_1-dekad Standard Precipitation Index 1-dekad from ANACIM ENACTS: Enhancing National Climate Service initiative.

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (12.225N) to (16.8N) by 0.03749999 N= 123 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

ANACIM ENACTS version1 ALL dekadal SPI-rfe_merged_1-dekad anomalies climatology

Averaged over T2[1981, 2357 30 Dec 2015 - 2357 30 Dec 2016] minimum 0.0% data present
Averaged over T2[1981, 2357 30 Dec 2015 - 2357 30 Dec 2016] minimum 0.0% data present

root mean sq [ ANACIM ENACTS version1 ALL dekadal SPI-rfe_merged_1-dekad anomalies climatology ]

Averaged over T[0000 1 Jan - 0000 11 Jan, 0000 21 Dec - 0000 1 Jan] X[17.60625W, 11.19375W] minimum 0.0% data present

Last updated: Thu, 26 Oct 2023 14:58:08 GMT

Data Views

	Y
root mean sq [ ANACIM ENACTS version1 ALL dekadal SPI-rfe_merged_1-dekad anomalies climatology ][ \| Y]	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 Y
Differentiate along Y
Take differences along Y