served from maproom.meteorwanda.gov.rw
∂S [ Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-A06 Z ]: ∂S data
Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-A06 Z ∂S from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Modos
- grid: /Modos (ids) ordered (1) to (5) by 1.0 N= 5 pts :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Nov 2019) to (May 2024) by 1.0 N= 55 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999
- missing_value
- NaN
- pointwidth
- 0
- units
- 12 year-1
Last updated: Thu, 12 Dec 2019 21:15:33 GMT
Expires: Thu, 09 Jan 2020 00:00:00 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| L | Modos | S | |
 $partialdiff sub S$ [ Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-A06 Z ] 2.5 months[ Modos | S L] | 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 Modos S
- Differentiate along Modos S
- Take differences along Modos S
RMS (root mean square with mean *not* removed) over Modos S | Modos S |
RMSA (root mean square with mean removed) over Modos S | Modos S |
Maximum over Modos S | Modos S |
Minimum over Modos S | Modos S |
Detrend (best-fit-line) over Modos S | Modos S |
Note on units