served from dlibrary.snia.gub.uy
root mean sq anom ∂T [ USGS LandDAAC uy_NDWI_SP NDWI_SP ] : ∂T NDWI por Seccional Policial data
USGS LandDAAC uy_NDWI_SP NDWI_SP partial_T ∂T NDWI por Seccional Policial from SOURCES: datos de MGAP SNIA prueba. isIndependent Variables (Grids)
Other Info
- add_offset_err
- 0.0
- bufferwordsize
- 8
- calibrated_nt
- 5
- CE
- null
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- scale_factor_err
- 0.0
- SpatialReferenceSystemDims
- X
Y - SpatialReferenceSystemWKT
- GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],TOWGS84[0,0,0,0,0,0,0],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.01745329251994328,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]
- units
- 1.15740740740741×10-05 second-1
- valid_range
- 0
10000 - history
- $partialdiff sub T$ [ USGS LandDAAC uy_NDWI_SP NDWI_SP ] 1911 2-17 Jun 2025
- Boxes with less than 0.0% dropped
Boxes with less than 0.0% dropped
root mean sq anom $partialdiff sub T$ [ USGS LandDAAC uy_NDWI_SP NDWI_SP ]- Averaged over depto_sec[0101, 1911] T[26 Feb 2000 - 12 Mar 2000, 2-17 Jun 2025] minimum 0.0% data present
- Boxes with less than 0.0% dropped
Last updated: Sat, 28 Jun 2025 08:26:02 GMT
Expires: Tue, 15 Jul 2025 00:00:00 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