served from dlibrary.snia.gub.uy
max ∂T2 [ MGAP CPT CrossValHind ] : ∂T2 cross-validated hindcasts data
MGAP CPT CrossValHind partial_T2 ∂T2 cross-validated hindcasts from SOURCES: datos de MGAP SNIA prueba.Independent Variables (Grids)
- T2
- grid: /T2 (months since 1960-01-01) ordered (Jul 1980 - Jun 1981) to (Jul 2010 - Jun 2011) by 12.0 N= 31 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 3.0
- units
- 0.144 meter year-2
- history
- max $partialdiff sub T2$ [ MGAP CPT CrossValHind ]
- 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
max over X[59.75W, 52.25W] Y[29.25S, 35.75S] T[Sep, Nov] 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
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 T2
- Differentiate along T2
- Take differences along T2
RMS (root mean square with mean *not* removed) over T2 |
RMSA (root mean square with mean removed) over T2 |
Maximum over T2 |
Minimum over T2 |
Detrend (best-fit-line) over T2 |
Note on units