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root mean sq ∫dT [ ICPAC Projections RCA-MPI rcp26 monthly GHA temperature tmin tmin ] : Minimum Near-Surface Air Temperature data
root mean sq ∫dT [ ICPAC Projections RCA-MPI rcp26 monthly GHA temperature tmin tmin ] .Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 2006) to (0000 1 Jan 2101) by 1.0 N= 1141 pts :grid
- longitude (longitude)
- grid: /X (degree_east) ordered (21.84E) to (51.39E) by 0.05 N= 592 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- temp_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 1.00000002E20
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0833333333333333 ( degree_Kelvin above 0 ) year
- history
- Averaged over Y[11.765S, 22.935N] minimum 0.0% data present
Last updated: Wed, 07 Jun 2017 18:21:31 GMT
Data Views
Views
data as colors
data as contours| T | X | |
 root mean sq $integral dT$ [ ICPAC Projections RCA-MPI rcp26 monthly GHA temperature tmin tmin ] [ X | T] | M | M |
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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 X T
- Differentiate along X T
- Take differences along X T
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |
Note on units