served from maproom.meteorwanda.gov.rw
min [ Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-A06 Var ]: Variance data
Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-A06 Var Variance from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (1.125S) to (2.875S) by 0.25 N= 8 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 256
- missing_value
- NaN
- pointwidth
- 0
- scale_min
- 0.0
- units
- mm2 /day2
- standard units*
- 1.33959190672154×10-16 meter2 second-2
- history
- min [ Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-A06 Var ]
- Averaged in T with overlapping interval 3
min over X[28.125E, 30.875E] S[0000 1 Nov 2019, 0000 1 Jun 2024]
- Averaged in T with overlapping interval 3
Last updated: Thu, 12 Dec 2019 21:15:33 GMT
Expires: Thu, 09 Jan 2020 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter
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