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max mean ∂Y [ SoilGrids GYGA_Results_ll Aggregated_over30cm wat_cap_whole ] : ∂Y Total available water - fine earth and coarse fragments data
max ∂Y Total available water - fine earth and coarse fragments: Total available water capacity (v\%) of the whole earth (incl. both fine earth and coarse fragments), aggregated over the top 30 cm, with field capacity defined at pF 2.3. isIndependent Variables (Grids)
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
- 0.572957795130823 radian-1 north
- history
- max mean $partialdiff sub Y$ [ SoilGrids GYGA_Results_ll Aggregated_over30cm wat_cap_whole ]
- Averaged over X[23.2145W, 56.9045E] minimum 0.0% data present
max over Y[34.9955S, 37.9955N]
- Averaged over X[23.2145W, 56.9045E] minimum 0.0% data present
Last updated: Tue, 15 Aug 2017 15:51:28 GMT
Data Views
colors with coasts
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units