served from dlibrary.snia.gub.uy
min ∫dT2 [ MGAP CPT CFSv2_AtlPac_sst InputObs ] : input observations data
MGAP CPT CFSv2_AtlPac_sst InputObs int_dT2 input observations from SOURCES: datos de MGAP SNIA prueba.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (59.5W) to (52.5W) by 1.0 N= 8 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 16
- colorscalename
- precip_colors
- CS
- 0
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 9.64506172839506×10-10 meter second-1 year
- history
- min $integral dT2$ [ MGAP CPT CFSv2_AtlPac_sst InputObs ]
- Output from CPT for 12 3-month running seasons for 1960-2009 between ECHAM4p5 GCM and CRU dataset, CPT recompiled on Mac 9.04 version
min over Y[35.5S, 29.5S] T2[0000 1 Jan 1980, 0000 1 Jan 2015] T[Jan, Dec] L[2.5 months, 4.5 months]
- Output from CPT for 12 3-month running seasons for 1960-2009 between ECHAM4p5 GCM and CRU dataset, CPT recompiled on Mac 9.04 version
- colorscale
Last updated: Thu, 04 Feb 2016 15:18:08 GMT
Data Views
Views
line plots
color bars
scatter
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
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units