served from 129.236.110.25
root mean sq ∂T [ UEA CRU TS4p07 monthly frs ] : ∂T ground frost frequency data
root mean sq ∂T [ UEA CRU TS4p07 monthly frs ] .Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Jan 1901 - 15 Feb 1901) to (16 Nov 2022 - 15 Dec 2022) by 1.0 N= 1463 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- correlation_decay_distance
- 750.0
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.96920997E36
- maxncolor
- 254
- missing_value
- NaN
- units
- 1036800 second year-1
- history
- root mean sq $partialdiff sub T$ [ UEA CRU TS4p07 monthly frs ]
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over X[180W, 180] minimum 0.0% data present
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
References
Harris_etal2013Last updated: Thu, 18 Jan 2024 13:18:45 GMT
Data Views
Views
data as colors
data as contours| T | X | Y | |
 UEA CRU TS4p07 monthly[pre
tmn
vap
stn
tmx
pet
dtr
frs
tmp
wet
cld
] | |||
| UEA CRU TS4p07 monthly dtr[ X Y | T] | O=0.5 | M | M |
|---|---|---|---|
 root mean sq $partialdiff sub T$ [ UEA CRU TS4p07 monthly frs ] [ Y | T] | 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units