served from digilib.icpac.net
min ∂X [ ICPAC Projections RCA-MPI rcp45 monthly GHA temperature tmean tmean ] : ∂X Near-Surface Air Temperature data
min ∂X [ ICPAC Projections RCA-MPI rcp45 monthly GHA temperature tmean tmean ] .Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 2006) to (Dec 2100) by 1.0 N= 1140 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.865E) to (51.365E) by 0.05 N= 591 pts :grid
Other Info
- CE
- null
- colorscalename
- temp_colors
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- 1.00000002E20
- maxncolor
- 254
- missing_value
- NaN
- units
- 57.2957795130823 degree_Kelvin radian-1 east
- history
- min over Y[11.74S, 22.91N]
Last updated: Wed, 07 Jun 2017 18:25:42 GMT
Data Views
Views
data as colors
data as contours| T | X | |
 min $partialdiff sub X$ [ ICPAC Projections RCA-MPI rcp45 monthly GHA temperature tmean tmean ] [ 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