served from IRI/LDEO Climate Data Library
IRI Analyses SPI SPI-GOBv0px1deg_3-Month: 3-Month Standardized Precipitation Index data
3-Month Standardized Precipitation Index from IRI Analyses SPI: Standardized Precipitation Index analyses of multiple global precipitation datasets.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jan 1979) to (May 2024) by 1.0 N= 545 pts :grid
- Longitude
- grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (89S) to (89N) by 1.0 N= 179 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 3.5
- colorscalename
- drought_monitor_colors1
- CS
- -3.5
- datatype
- doublearraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- scale_max
- 3.5
- scale_min
- -3.5
- units
- unitless
- history
- NOAA NCEP CPC GOB V0px daily RETRO prcp
- Boxes with less than 0.0% dropped
T: Nov 2014 to May 2024 appended from NOAA NCEP CPC GOB V0px daily REALTIME prcp
IRI Analyses SPI SPI-GOBv0px1deg_3-Month- Boxes with less than 25.0% dropped
Boxes with less than 25.0% dropped
- Boxes with less than 0.0% dropped
- colorscale
References
Guttman1999McKee, T.B., N. J. Doesken, and J. Kliest, 1993: The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference of Applied Climatology, 17-22 January, Anaheim, CA. American Meterological Society, Boston, MA. 179-184.
McKee, T.B., N.J. Doesken, and J. Kliest, 1995: Drought monitoring with multiple time scales. In Proceedings of the 9th Conference of Applied Climatology, 15-20 January, Dallas TX. American Meteorological Society, Boston, MA. 233-236
Last updated: Wed, 15 May 2024 11:45:23 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 IRI Analyses SPI SPI-GOBv0px1deg_3-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