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∂C ∂Y ∫dC [ ZMD CPT NASA-GEOSS2S Prob ] : ∂C ∂Y Tercile Forecast data
CPT NASA-GEOSS2S Prob Prob int_dC partial_Y partial_Y partial_C ∂C ∂Y Tercile Forecast from ZMD: Zambia Meteorological Department.Independent Variables (Grids)
- C
- grid: /C (ids) unordered [ (al) (Я)] :grid
- S (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered [ (0000 16 Aug 2020) (0000 16 Sep 2020) (0000 16 Oct 2020) (0000 16 Nov 2020) (0000 16 Dec 2020) (0000 16 Jan 2021) (0000 16 Feb 2021) (0000 16 Mar 2021) (0000 16 Apr 2021) (0000 16 May 2021) (0000 16 Jun 2021) (0000 16 Jul 2021) (0000 16 Aug 2021) (0000 16 Sep 2021) (0000 16 Oct 2021) (0000 16 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 (17.77436S) to (8.225641S) by 0.251282 N= 39 pts :grid
Other Info
- CE
- 100
- colorscalename
- tercileclassesscale
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -1.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- percent ids /degree_north /ids
- colorscale
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| C | S | X | Y | |
 $partialdiff sub C$ $partialdiff sub Y$ $integral dC$ [ ZMD CPT NASA-GEOSS2S Prob ] [ X Y C | S] | M | M | M | 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 X Y C S
- Differentiate along X Y C S
- Take differences along X Y C S
RMS (root mean square with mean *not* removed) over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
RMSA (root mean square with mean removed) over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
Maximum over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
Minimum over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
Detrend (best-fit-line) over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
Note on units