served from dlibrary.snia.gub.uy
mean ∂L ∫dT2 root mean sq ∫dT [ MGAP CPT CrossValHind ] : ∂L cross-validated hindcasts data
MGAP CPT CrossValHind int_dT int_dT int_dT2 partial_L ∂L cross-validated hindcasts from SOURCES: datos de MGAP SNIA prueba.Independent Variables (Grids)
- L
- grid: /L (months) ordered (3.0 months) to (4.0 months) N= 2 pts :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Sep 1960) to (0000 1 Dec 1960) by 1.0 N= 4 pts :grid
- T2
- grid: /T2 (months since 1960-01-01) ordered (0000 1 Jan 1980) to (0000 1 Jan 2012) by 12.0 N= 33 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 3.0
- units
- mm
- standard units*
- 0.001 meter
- history
- $partialdiff sub L$ $integral dT2$ root mean sq $integral dT$ [ 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
Averaged over Y[36S, 29S] minimum 0.0% data present
mean $partialdiff sub L$ $integral dT2$ root mean sq $integral dT$ [ MGAP CPT CrossValHind ]- Averaged over X[60W, 52W] minimum 0.0% data present
- 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
data as colors
data as contours
line plots
color bars| L | T | T2 | |
 mean $partialdiff sub L$ $integral dT2$ root mean sq $integral dT$ [ MGAP CPT CrossValHind ] [ T2 | T L] | M | 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 T2 T L
- Differentiate along T2 T L
- Take differences along T2 T L
RMS (root mean square with mean *not* removed) over T2 T L | T2 T T2 L T L | T2 T L |
RMSA (root mean square with mean removed) over T2 T L | T2 T T2 L T L | T2 T L |
Maximum over T2 T L | T2 T T2 L T L | T2 T L |
Minimum over T2 T L | T2 T T2 L T L | T2 T L |
Detrend (best-fit-line) over T2 T L | T2 T T2 L T L | T2 T L |
Note on units