data: root mean sq anom $integral dX$ [ ZMD ENACTS rainfall ALL dekadly SPI-rfe_merged

root mean sq anom ∫dX [ ZMD ENACTS rainfall ALL dekadly SPI-rfe_merged_1-dekad anomalies ] : Standard Precipitation Index 1-dekad data

ENACTS rainfall ALL dekadly SPI-rfe_merged_1-dekad SPI-rfe_merged_1-dekad int_dX Standard Precipitation Index 1-dekad from ZMD: Zambia Meteorological Department.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (21.69375E) to (33.88125E) by 0.03749999 N= 326 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (18.1875S) to (8.099999S) by 0.0375 N= 270 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_east

standard units*

0.0174532925199433 radian east

history

root mean sq anom $integral dX$ [ ZMD ENACTS rainfall ALL dekadly SPI-rfe_merged_1-dekad anomalies ]

Averaged over T2[1981, 2023] minimum 0.0% data present
Averaged over T[1-10 Jan 1981, 11-20 Oct 2024] minimum 0.0% data present

Last updated: Thu, 12 Dec 2024 15:16:42 GMT
Expires: Sat, 21 Dec 2024 00:00:00 GMT

Data Views

	X	Y
root mean sq anom $integral dX$ [ ZMD ENACTS rainfall ALL dekadly SPI-rfe_merged_1-dekad anomalies ] [ \| X Y]	M	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 Y
Differentiate along X Y
Take differences along X Y

Average over X Y | X Y |
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |

Note on units