data: mean $integral dY$ [ SoilGrids GYGA_Results_ll Aggregated_overERZD wat_cap

mean ∫dY [ SoilGrids GYGA_Results_ll Aggregated_overERZD wat_cap_abs ] : Absolute total available water data

mean Absolute total available water: Absolute total available water capacity (mm), aggregated over the Effective Root Zone Depth for Maize.

Independent Variables (Grids)

Latitude: grid: /Y (degree_north) ordered (35.0045S) to (38.0045N) by 0.009000123 N= 8113 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
missing_value: NaN
SpatialReferenceSystemDims: X
Y
SpatialReferenceSystemWKT: GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.01745329251994328,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]
units: 1.74532925199433×10^-05 meter radian north
history: Averaged over X[23.2145W, 56.9045E] minimum 0.0% data present

Last updated: Tue, 15 Aug 2017 15:51:28 GMT

Data Views

	Y
mean $integral dY$ [ SoilGrids GYGA_Results_ll Aggregated_overERZD wat_cap_abs ] [ Y \|]	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
Differentiate along Y
Take differences along Y