root mean sq anom root mean sq ∂lon [ UEA CRU TS4p0 monthly pre ] : ∂lon precipitation data
root mean sq anom root mean sq
∂lon [ UEA CRU TS4p0 monthly pre ] .
Independent Variables (Grids)
- lon (longitude)
- grid: /lon (degree_east) periodic (180W) to (179.5E) by 0.5 N= 720 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- correlation_decay_distance
- 450.0
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.96920997E36
- maxncolor
- 254
- missing_value
- NaN
- standard_name
- lwe_precipitation_rate
- units
- 0.687549354156988 meter radian-1 east year-1
- history
- root mean sq $partialdiff sub lon$ [ UEA CRU TS4p0 monthly pre ] 0000 16 Nov 2015 - 1200 16 Dec 2015
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over lat[90S, 90N] minimum 0.0% data present
root mean sq anom root mean sq $partialdiff sub lon$ [ UEA CRU TS4p0 monthly pre ] - Averaged over time[1200 16 Jan 1901 - 2400 14 Feb 1901, 0000 16 Nov 2015 - 1200 16 Dec 2015] minimum 0.0% data present
References
Harris_etal2013
Last updated: Wed, 17 Jan 2024 21:25:22 GMT
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 lon
- Differentiate along lon
- Take differences along lon
Average over
lon
|
RMS (root mean square with mean *not* removed) over
lon
|
RMSA (root mean square with mean removed) over
lon
|
Maximum over
lon
|
Minimum over
lon
|
Detrend (best-fit-line) over
lon
|
Note on units