served from dlibrary.snia.gub.uy
min mean [ MGAP CPT CFSv2_AtlPac_sst CrossValHind ] : cross-validated hindcasts data
MGAP CPT CFSv2_AtlPac_sst CrossValHind CrossValHind CrossValHind cross-validated hindcasts from SOURCES: datos de MGAP SNIA prueba.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (Jan 1960) (Feb 1960) (Mar 1960) (Apr 1960) (May 1960) (Jun 1960) (Jul 1960) (Aug 1960) (Sep 1960) (Oct 1960) (Nov 1960) (Dec 1960)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (59.5W) to (52.5W) by 1.0 N= 8 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (35.5S) to (29.5S) by 1.0 N= 7 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 1.0
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- history
- mean [ MGAP CPT CFSv2_AtlPac_sst CrossValHind ] 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
Averaged over T2[1980, 2014] minimum 0.0% data present
min mean [ MGAP CPT CFSv2_AtlPac_sst CrossValHind ]- min over 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
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| T | X | Y | |
 MGAP CPT[PredErrorVars
target_date
Forecast
InputObs
hindcast_date
CFSv2_AtlPac_sst
CrossValHind
PearsonR
] | |||
 min mean [ MGAP CPT CFSv2_AtlPac_sst CrossValHind ] [ X Y | T] | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units