served from 41.72.104.142
ZMD ENACTS rainfall ALL dekadly SPI-rfe_merged_1-dekad climatology: Standard Precipitation Index 1-dekad data
ENACTS rainfall ALL dekadly SPI-rfe_merged_1-dekad SPI-rfe_merged_1-dekad SPI-rfe_merged_1-dekad Standard Precipitation Index 1-dekad from ZMD: Zambia Meteorological Department.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan - 0000 11 Jan) to (0000 21 Dec - 0000 1 Jan) by 0.3333335 N= 36 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.73125E) to (33.84375E) by 0.03750001 N= 324 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (18.16875S) to (8.11875S) by 0.03750001 N= 269 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- units
- unitless
- history
- Averaged over T2[1981, 2023] minimum 0.0% data present
Last updated: Thu, 12 Dec 2024 15:16:42 GMT
Expires: Sat, 21 Dec 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 ZMD ENACTS rainfall ALL dekadly SPI-rfe_merged_1-dekad climatology[ 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