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spi prob pcpn_accum [ Guatemala ENACTS daily rainfall rfe ] * masklt [ flaggt ( mean flaggt { [ Guatemala ENACTS daily rainfall rfe ] , 0.0 } , 0.3333333 ) , 1.0 ] : Standardized Precipitation Index data
spi prob pcpn_accum [ Guatemala ENACTS daily rainfall rfe ] * masklt [ flaggt ( mean flaggt { [ Guatemala ENACTS daily rainfall rfe ] , 0.0 } , 0.3333333 ) , 1.0 ] .Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jan 1981) to (Apr 2024) by 1.0 N= 520 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (92.475W) to (88.025W) by 0.04999997 N= 90 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (13.525N) to (18.475N) by 0.05000001 N= 100 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 3
- colorscalename
- daily_precip_colors
- CS
- -3
- datatype
- doublearraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- scale_max
- 3.0
- scale_min
- -3.0
- units
- unitless
- history
- spi prob pcpn_accum [ Guatemala ENACTS daily rainfall rfe ]
Boxes with less than 0.0% dropped
- masklt [ flaggt ( mean flaggt { [ Guatemala ENACTS daily rainfall rfe ] , 0.0 } , 0.3333333 ) , 1.0 ]
- mean flaggt [ ( Guatemala ENACTS daily rainfall rfe ) , 0.0 ]
- Boxes with less than 0.0% dropped
Averaged over T2[1981, 2023] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- mean flaggt [ ( Guatemala ENACTS daily rainfall rfe ) , 0.0 ]
- spi prob pcpn_accum [ Guatemala ENACTS daily rainfall rfe ]
- colorscale
Last updated: Fri, 07 Jun 2024 16:11:56 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
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 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