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root mean sq ∫dS ∂S [ ZMD CPT GFDL-CM2p5-FLOR-A06 Prob ] : ∂S Tercile Forecast data
CPT GFDL-CM2p5-FLOR-A06 Prob partial_S int_dS int_dS int_dS ∂S Tercile Forecast from ZMD: Zambia Meteorological Department.Independent Variables (Grids)
- S (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered [ (Aug 2020) (Sep 2020) (Oct 2020) (Nov 2020) (Dec 2020) (Jan 2021) (Feb 2021) (Mar 2021) (Apr 2021) (May 2021) (Jun 2021) (Jul 2021) (Aug 2021) (Sep 2021) (Oct 2021) (Nov 2021)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (20.1E) to (33.9E) by 0.2509091 N= 56 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (17.9S) to (8.1S) by 0.251282 N= 40 pts :grid
Other Info
- CE
- null
- colorscalename
- tercileclassesscale
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -1.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- percent
- standard units*
- 0.01
- history
- Averaged over C[Below, Above] minimum 0.0% data present
Last updated: Thu, 10 Feb 2022 00:03:57 GMT
Expires: Sat, 12 Mar 2022 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| S | X | Y | |
 root mean sq $integral dS$ $partialdiff sub S$ [ ZMD CPT GFDL-CM2p5-FLOR-A06 Prob ] [ X Y | S] | 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 X Y S
- Differentiate along X Y S
- Take differences along X Y S
RMS (root mean square with mean *not* removed) over X Y S | X Y X S Y S | X Y S |
RMSA (root mean square with mean removed) over X Y S | X Y X S Y S | X Y S |
Maximum over X Y S | X Y X S Y S | X Y S |
Minimum over X Y S | X Y X S Y S | X Y S |
Detrend (best-fit-line) over X Y S | X Y X S Y S | X Y S |
Note on units