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root mean sq ∂X [ SoilGrids GYGA_Results_ll Aggregated_over30cm wat_cap_abs ] : ∂X Absolute total available water data
root mean sq ∂X Absolute total available water: Absolute total available water capacity (mm), 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
- 0.0572957795130823 meter radian-1 east
- history
- Averaged over X[23.21W, 56.9E] minimum 0.0% data present
Last updated: Tue, 15 Aug 2017 15:51:28 GMT
Data Views
Views
colors with coasts
line plots
color bars
scatter| Y | |
 root mean sq $partialdiff sub X$ [ SoilGrids GYGA_Results_ll Aggregated_over30cm 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
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units