served from maproom.meteorwanda.gov.rw
Rwanda Seasonal precip spi: Standardized Precipitation Index data
Rwanda Seasonal precip Standardized Precipitation Index from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jan-Mar 1983) to (Oct-Dec 2021) by 1.0 N= 466 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.5375E) to (30.975E) by 0.0375 N= 66 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.9625S) to (1.05S) by 0.0375 N= 52 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 3
- 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
- Boxes with less than 0.0% dropped
- colorscale
Last updated: Mon, 09 May 2022 12:12:55 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 Rwanda Seasonal precip spi[ T | X Y] | 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 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