data: $integral dT$ $integral dY$ min [ ENACTS version0 dekadal rainfall rfe_mergeddiff

∫dT ∫dY min [ ENACTS version0 dekadal rainfall rfe_mergeddiff_percent ] : Rainfall Difference Expressed as Percent of Long-Term Average (%) data

dekadal rainfall rfe_mergeddiff_percent min int_dY Rainfall Difference Expressed as Percent of Long-Term Average (%) from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (0000 1 Jan 1981) (0000 11 Jan 1981) (0000 21 Jan 1981) ... (0000 1 Oct 2024)] N= 1576 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (11.8S) to (23.15N) by 0.05 N= 700 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

precip_colors

CS

null

datatype

doublearraytype

maxncolor

254

units

15.079644737231 radian north second

history

$integral dT$ $integral dY$ min [ ENACTS version0 dekadal rainfall rfe_mergeddiff_percent ]

Averaged over T2[0.5, 1080.5] minimum 0.0% data present
min over X[21.855E, 51.455E]

Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 2024 00:00:00 GMT

Data Views

	T	Y
$integral dT$ $integral dY$ min [ ENACTS version0 dekadal rainfall rfe_mergeddiff_percent ] [ Y \| T]	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 Y T
Differentiate along Y T
Take differences along Y T

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

Note on units