root mean sq [ root mean sq ∫dT ( ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ) climatology ]: Precipitation data
root mean sq [ root mean sq
∫dT ( ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ) climatology ].
Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.74S) to (22.91N) by 0.05 N= 694 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 1.00000002E20
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0833333333333333 kilogram meter-1 second-2 year
- history
- root mean sq $integral dT$ [ ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ] climatology
- Averaged over X[21.815E, 51.415E] minimum 0.0% data present
Averaged over T2[16 Dec 2005 - 15 Dec 2006, 16 Dec 2099 - 15 Dec 2100] minimum 0.0% data present
root mean sq [ root mean sq $integral dT$ ( ICPAC Projections RCA-MPI rcp45 monthly GHA rainfall precipitation ) climatology ]- Averaged over T[0000 1 Jan, 0000 1 Dec] minimum 0.0% data present
Last updated: Wed, 07 Jun 2017 10:46:37 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 Y
- Differentiate along Y
- Take differences along Y
Average over
Y
|
RMS (root mean square with mean *not* removed) over
Y
|
RMSA (root mean square with mean removed) over
Y
|
Maximum over
Y
|
Minimum over
Y
|
Detrend (best-fit-line) over
Y
|
Note on units