served from maproom.meteorwanda.gov.rw
Rwanda ENACTS rfe_merged SPI-rfe_merged_1-dekad climatology anomalies: Standard Precipitation Index 1-dekad data
Rwanda ENACTS rfe_merged SPI-rfe_merged_1-dekad SPI-rfe_merged_1-dekad SPI-rfe_merged_1-dekad SPI-rfe_merged_1-dekad Standard Precipitation Index 1-dekad from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (2359 5 Jan - 2359 15 Jan) to (2359 25 Dec - 2359 5 Jan) by 0.333333 N= 36 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.5375E) to (30.9375E) by 0.03750002 N= 65 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.98125S) to (1.03125S) by 0.0375 N= 53 pts :grid
Other Info
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- units
- unitless
- history
- Rwanda ENACTS rfe_merged SPI-rfe_merged_1-dekad climatology
Averaged over T2[1983, 2354 30 Dec 2024 - 2354 30 Dec 2025] minimum 0.0% data present
- Rwanda ENACTS rfe_merged SPI-rfe_merged_1-dekad climatology climatology
- Averaged over T2[1983, 2354 30 Dec 2024 - 2354 30 Dec 2025] minimum 0.0% data present
Averaged over T2=2359 5 Jan 1960 - 2359 5 Jan 1961 minimum 0.0% data present
- Averaged over T2[1983, 2354 30 Dec 2024 - 2354 30 Dec 2025] minimum 0.0% data present
- Rwanda ENACTS rfe_merged SPI-rfe_merged_1-dekad climatology
Last updated: Mon, 14 Sep 2026 13:27:59 GMT
Expires: Mon, 21 Sep 2026 00:00:00 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