served from 41.72.104.142
root mean sq anom ∫dS ∂Y [ ZMD CPT GFDL-CM2p5-FLOR-A06 Mu ] : ∂Y Forecast data
CPT GFDL-CM2p5-FLOR-A06 Mu Mu partial_Y int_dS ∂Y Forecast from ZMD: Zambia Meteorological Department.Independent Variables (Grids)
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 16 Jul 2020) to (0000 16 Dec 2021) by 1.0 N= 18 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (20.22545E) to (33.77455E) by 0.2509091 N= 55 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.00477464829275686 meter radian-1 north year
- history
- Averaged over Y[8.225641S, 17.77436S] 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
line plots
color bars| S | X | |
 root mean sq anom $integral dS$ $partialdiff sub Y$ [ ZMD CPT GFDL-CM2p5-FLOR-A06 Mu ] [ X | S] | 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 S
- Differentiate along X S
- Take differences along X S
RMS (root mean square with mean *not* removed) over X S | X S |
RMSA (root mean square with mean removed) over X S | X S |
Maximum over X S | X S |
Minimum over X S | X S |
Detrend (best-fit-line) over X S | X S |
Note on units