data: Ethiopia CPT JJAS_2018 total_rainfall History Input

Ethiopia CPT JJAS_2018 total_rainfall History Input_prcp: Precipitation input observations data

Input_prcp Precipitation input observations from Ethiopia CPT JJAS_2018 total_rainfall History: Predicand, Hindcast and Skill.

Independent Variables (Grids)

percentile: grid: /percentile (unitless) ordered (0.3333333) to (0.6666667) N= 2 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (33.25E) to (47.75E) by 0.5 N= 30 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (3.25N) to (14.75N) by 0.5 N= 24 pts :grid

Other Info

CE: null
colorscalename: precip_colors
CS: 0
datatype: realarraytype
file_missing_value: -999.0
maxncolor: 254
missing_value: NaN
scale_min: 0.0
units: mm
standard units*: 0.001 meter
history: percentiles computed over S:Jun 1980 - May 2013 0% min data present

Last updated: Wed, 01 Feb 2023 14:07:40 GMT

Data Views

	percentile	X	Y
Ethiopia CPT JJAS_2018 total_rainfall History Input_prcp[ percentile \| X Y]	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 percentile X Y
Differentiate along percentile X Y
Take differences along percentile X Y