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min [ T , min root mean sq anom ∂T ( Princeton tmin ) ]: Time, ∂T Minimum air temperature data
min [ T , min root mean sq anom ∂T ( Princeton tmin ) ].Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered (0000 1 Jan 1948) to (0000 31 Dec 2008) by 1.0 N= 22281 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 0.5 N= 359 pts :grid
Other Info
- calendar
- standard
- datatype
- realarraytype
- fnname
- min
- gridid
- 167071528
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- days
- standard units*
- 86400 second
- history
- min root mean sq anom $partialdiff sub T$ [ Princeton tmin ]
- Averaged over T[1 Jan 1948, 30 Dec 2008] minimum 0.0% data present
min over X[0.25E, 0.25W]
- Averaged over T[1 Jan 1948, 30 Dec 2008] minimum 0.0% data present
Last updated: Fri, 27 Nov 2020 04:20:45 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 Princeton[tmax
wspd
prcp
tmin
] | ||
| 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 | O=0.25 | |
 min [ T , min root mean sq anom $partialdiff sub T$ ( Princeton tmin ) ][ | T Y] | 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 T Y
- Differentiate along T Y
- Take differences along T Y
RMS (root mean square with mean *not* removed) over T Y | T Y |
RMSA (root mean square with mean removed) over T Y | T Y |
Maximum over T Y | T Y |
Minimum over T Y | T Y |
Detrend (best-fit-line) over T Y | T Y |
Note on units