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root mean sq anom [ Rwanda Monthly precip rfe climatology ]: Merged Station-Satellite Rainfall data
Rwanda Monthly precip rfe rfe Merged Station-Satellite Rainfall from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 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
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 1036.8 meter second year-1
- history
- Rwanda Monthly precip rfe climatology
- Boxes with less than 0.0% dropped
Averaged over T2[1983, 2021] minimum 0.0% data present
root mean sq anom [ Rwanda Monthly precip rfe climatology ]- Averaged over X[28.5375E, 30.975E] minimum 0.0% data present
- Boxes with less than 0.0% dropped
Last updated: Mon, 09 May 2022 12:12:55 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars
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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units