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max [ T , max ∂Y ∫dY ( Princeton wspd ) ]: Time, ∂Y Wind speed at 10 m data
max [ T , max ∂Y ∫dY ( Princeton wspd ) ].Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered (1 Jan 1948) to (30 Dec 2008) by 1.0 N= 22280 pts :grid
Other Info
- calendar
- standard
- datatype
- realarraytype
- fnname
- max
- gridid
- 175570704
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- days
- standard units*
- 86400 second
- history
- max over X[0.25E, 0.25W] Y[89.75S, 89.75N]
Last updated: Fri, 27 Nov 2020 04:20:45 GMT
Data Views
Views
line plots
color bars
scatter| T | |
 Princeton[prcp
tmin
tmax
wspd
] | |
| grid: /X (degree_east) periodic (0.25E) to (0.25W) by 0.5 N= 720 pts :grid | |
| grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid | |
 max [ T , max $partialdiff sub Y$ $integral dY$ ( Princeton wspd ) ][ | T] | 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 T
- Differentiate along T
- Take differences along T
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |
Note on units