data: root mean sq anom $integral dT$ [ NiMet ENACTS ENACTS_v1 ALL Temperature dekadal c9120 tmean ]

root mean sq anom ∫dT [ NiMet ENACTS ENACTS_v1 ALL Temperature dekadal c9120 tmean ] : Merged Station-Downscaled Reanalysis Mean Temperature Climatology 1991-2020 data

ENACTS_v1 ALL Temperature dekadal c9120 tmean int_dT Merged Station-Downscaled Reanalysis Mean Temperature Climatology 1991-2020 from NiMet ENACTS: Enhancing National Climate Service Initiative.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (2.4E) to (14.925E) by 0.03750001 N= 335 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (3.975N) to (14.1N) by 0.0375 N= 271 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-99.0

missing_value

NaN

units

86400 ( degree_Kelvin above 273.15 ) second

history

root mean sq anom $integral dT$ [ NiMet ENACTS ENACTS_v1 ALL Temperature dekadal c9120 tmean ]

Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T[0000 1 Jan, 0000 1 Jan] minimum 0.0% data present

Last updated: Mon, 17 Feb 2025 14:29:37 GMT

Data Views

	X	Y
root mean sq anom $integral dT$ [ NiMet ENACTS ENACTS_v1 ALL Temperature dekadal c9120 tmean ] [ 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