served from maproom.meteorwanda.gov.rw
[ Rwanda Monthly precip spi ] * masklt [ flaggt ( mean flaggt { [ Rwanda Monthly precip rfe ] , 0.0 } , 0.3333333 ) , 1.0 ] : Standardized Precipitation Index data
[ Rwanda Monthly precip spi ] * masklt [ flaggt ( mean flaggt { [ Rwanda Monthly precip rfe ] , 0.0 } , 0.3333333 ) , 1.0 ] .Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jan 1983) to (Dec 2021) by 1.0 N= 468 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
- Rwanda Monthly precip spi
Boxes with less than 0.0% dropped
- masklt [ flaggt ( mean flaggt { [ Rwanda Monthly precip rfe ] , 0.0 } , 0.3333333 ) , 1.0 ]
- mean flaggt [ ( Rwanda Monthly precip rfe ) , 0.0 ]
- Boxes with less than 0.0% dropped
Averaged over T2[1983, 2021] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- mean flaggt [ ( Rwanda Monthly precip rfe ) , 0.0 ]
- Rwanda Monthly precip spi
- 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 Monthly precip spi ] * masklt [ flaggt ( mean flaggt { [ Rwanda Monthly precip rfe ] , 0.0 } , 0.3333333 ) , 1.0 ] [ 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