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root mean sq anom ∫dY ∂S [ ZMD CPT GFDL-CM2p5-FLOR-A06 Obs ] : ∂S Observation data
CPT GFDL-CM2p5-FLOR-A06 Obs partial_S int_dY int_dY ∂S Observation from ZMD: Zambia Meteorological Department.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (20.22545E) to (33.77455E) by 0.2509091 N= 55 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (18.02564S) to (7.97436S) by 0.251282 N= 41 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.00020943951023932 meter radian north year-1
- history
- Averaged over S[Jan 1982, Nov 2010] minimum 0.0% data present
Last updated: Thu, 28 Jan 2021 07:10:50 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| X | Y | |
 root mean sq anom $integral dY$ $partialdiff sub S$ [ ZMD CPT GFDL-CM2p5-FLOR-A06 Obs ] [ | X Y] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units