served from maproom.meteorwanda.gov.rw
max root mean sq ∂T ∂Y [ Rwanda Dekad climatologies rfe ] : ∂T ∂Y Rainfall Dekad Climatology 1981-2010 data
Rwanda Dekad climatologies rfe partial_Y partial_Y partial_Y partial_T partial_T ∂T ∂Y Rainfall Dekad Climatology 1981-2010 from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.925S) to (1.0875S) by 0.03750001 N= 50 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 6.6314559621623×10-07 meter radian-1 north second-1
- history
- root mean sq $partialdiff sub T$ $partialdiff sub Y$ [ Rwanda Dekad climatologies rfe ] 0000 11 Jan - 0600 21 Jan
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over X[28.51875E, 30.99375E] minimum 0.0% data present
max root mean sq $partialdiff sub T$ $partialdiff sub Y$ [ Rwanda Dekad climatologies rfe ]- max over T[0000 11 Jan - 0600 21 Jan, 0000 11 Jan - 0600 21 Jan]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Last updated: Wed, 26 Jun 2024 16:53:08 GMT
Data Views
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scatter| Y | |
 max root mean sq $partialdiff sub T$ $partialdiff sub Y$ [ Rwanda Dekad climatologies rfe ] [ Y |] | 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 Y
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units