data: root mean sq [ SoilGrids GYGA_Results_ll Aggregated_over30cm moist_cont

root mean sq [ SoilGrids GYGA_Results_ll Aggregated_over30cm moist_cont_sat ]: Moisture content of the fine earth - saturation data

root mean sq Moisture content of the fine earth - saturation: Moisture content (v\%) of the fine earth at saturation, aggregated over the top 30 cm.

Independent Variables (Grids)

Latitude: grid: /Y (degree_north) ordered (35S) to (38N) by 0.009000123 N= 8112 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: percent
standard units*: 0.01
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
root mean sq [ SoilGrids GYGA_Results_ll Aggregated_over30cm moist_cont_sat ][ 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