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Chile CAZALAC ICE ICE3: Standardized Discharge Index 3-months data
Chile CAZALAC ICE Standardized Discharge Index 3-months from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Sep 2007) to (Dec 2017) by 1.0 N= 124 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (77.05W) to (65.05W) by 0.1 N= 121 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (16.95S) to (56.95S) by 0.1 N= 401 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- 2.5
- colorscalename
- SPI_discrete_colors
- CS
- -2.5
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- -999
- pointwidth
- 1.0
- scale_max
- 2.5
- scale_min
- -2.5
- units
- -
- colorscale
Last updated: Tue, 23 Jan 2018 16:53:26 GMT
Expires: Thu, 01 Feb 2018 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 Chile CAZALAC ICE ICE3[ X Y | T] | M | M | M |
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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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units