served from IRI/LDEO Climate Data Library
IRI SPI ANALYSIS ANALISYS SPI-GPCPv2OPI_1-Month: SPI-GPCPv2OPI_1-month data
IRI SPI ANALYSIS ANALISYS SPI-GPCPv2OPI_1-month from SOURCES: datos de MGAP SNIA prueba.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1979) to (Dec 1987) by 1.0 N= 108 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (58.75W) to (53.75W) by 2.5 N= 3 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (36.25S) to (28.75S) by 2.5 N= 4 pts :grid
Other Info
- CE
- 3.0999999
- CS
- -3.0999999
- datatype
- doublearraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- 3.0999999
- scale_min
- -3.0999999
- technique
- OPI
- units
- unitless
- colorscale
Last updated: Wed, 04 Sep 2024 12:36:49 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| T | X | Y | |
 IRI SPI ANALYSIS ANALISYS SPI-GPCPv2OPI_1-Month[ T X | Y] | M | M | 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 T X Y
- Differentiate along T X Y
- Take differences along T X Y
RMS (root mean square with mean *not* removed) over T X Y | T X T Y X Y | T X Y |
RMSA (root mean square with mean removed) over T X Y | T X T Y X Y | T X Y |
Maximum over T X Y | T X T Y X Y | T X Y |
Minimum over T X Y | T X T Y X Y | T X Y |
Detrend (best-fit-line) over T X Y | T X T Y X Y | T X Y |
Note on units