data: Hydromet ENACTS version2 MON Rainfall dekadal precip_vs

Hydromet ENACTS version2 MON Rainfall dekadal precip_vs_meanprecip: Reconstructed Rainfall Expressed as Percentages of the Long-Term Average data

version2 MON Rainfall dekadal Reconstructed Rainfall Expressed as Percentages of the Long-Term Average from Hydromet ENACTS: Enhancing National Climate Service Initiative.

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (21-31 Jan 2025)] N= 1587 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (61.525W) to (56.475W) by 0.05000003 N= 102 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (0.975N) to (8.525N) by 0.05 N= 152 pts :grid

Other Info

CE: 300
colorscalename: rfepercent_colors
CS: 0
datatype: realarraytype
maxncolor: 254
scale_max: 300.0
scale_min: 0.0
units: unitless
history: Averaged over T2[0.5, 1080.5] minimum 0.0% data present
colorscale

Last updated: Thu, 13 Feb 2025 19:11:11 GMT
Expires: Fri, 21 Feb 2025 00:00:00 GMT

Data Views

	T	X	Y
Hydromet ENACTS version2 MON Rainfall dekadal precip_vs_meanprecip[ X Y \| T]	M	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 T
Differentiate along X Y T
Take differences along X Y T