served from dlibrary.snia.gub.uy
IRI Forecast_old SST_CFSV2-PRECIP_GPCC History InputObs: input observations data
InputObs input observations from IRI Forecast_old SST_CFSV2-PRECIP_GPCC History: Predicand, Hindcast and Skill.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered (1.5 months) to (3.5 months) by 1.0 N= 3 pts :grid
- S (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered [ (0000 1 Jan 2015) (0000 1 Feb 2015) (0000 1 Mar 2015) (0000 1 Apr 2015) (0000 1 May 2015) (0000 1 Jun 2015) (0000 1 Jul 2015) (0000 1 Aug 2015) (0000 1 Sep 2015) (0000 1 Oct 2015) (0000 1 Nov 2015) (0000 1 Dec 2015) (0000 1 Jan 2016) (0000 1 Feb 2016) (0000 1 Mar 2016) (0000 1 Apr 2016) (0000 1 May 2016) (0000 1 Jun 2016) (0000 1 Jul 2016) (0000 1 Aug 2016) (0000 1 Sep 2016) (0000 1 Oct 2016) (0000 1 Nov 2016) (0000 1 Dec 2016) (0000 1 Jan 2017) (0000 1 Feb 2017) (0000 1 Mar 2017)] :grid
- Training period
- grid: /T2 (months since 1960-01-01) ordered (1982) to (2013) by 12.0 N= 32 pts :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 (29.5S) to (35.5S) by 1.0 N= 7 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- null
- colorscalename
- precip_colors
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- -999.0
- pointwidth
- 3.0
- scale_min
- 0.0
- units
- mm /month
- standard units*
- 0.012 meter year-1
Last updated: Wed, 08 Mar 2017 14:24:39 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | S | T2 | X | Y | |
 IRI Forecast_old SST_CFSV2-PRECIP_GPCC History InputObs[ X Y T2 | S L] | M | M | 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 T2 S L
- Differentiate along X Y T2 S L
- Take differences along X Y T2 S L
RMS (root mean square with mean *not* removed) over X Y T2 S L | X Y X T2 X S X L Y T2 Y S Y L T2 S T2 L S L | X Y T2 X Y S X Y L X T2 S X T2 L X S L Y T2 S Y T2 L Y S L T2 S L | X Y T2 S X Y T2 L X Y S L X T2 S L Y T2 S L | X Y T2 S L |
RMSA (root mean square with mean removed) over X Y T2 S L | X Y X T2 X S X L Y T2 Y S Y L T2 S T2 L S L | X Y T2 X Y S X Y L X T2 S X T2 L X S L Y T2 S Y T2 L Y S L T2 S L | X Y T2 S X Y T2 L X Y S L X T2 S L Y T2 S L | X Y T2 S L |
Maximum over X Y T2 S L | X Y X T2 X S X L Y T2 Y S Y L T2 S T2 L S L | X Y T2 X Y S X Y L X T2 S X T2 L X S L Y T2 S Y T2 L Y S L T2 S L | X Y T2 S X Y T2 L X Y S L X T2 S L Y T2 S L | X Y T2 S L |
Minimum over X Y T2 S L | X Y X T2 X S X L Y T2 Y S Y L T2 S T2 L S L | X Y T2 X Y S X Y L X T2 S X T2 L X S L Y T2 S Y T2 L Y S L T2 S L | X Y T2 S X Y T2 L X Y S L X T2 S L Y T2 S L | X Y T2 S L |
Detrend (best-fit-line) over X Y T2 S L | X Y X T2 X S X L Y T2 Y S Y L T2 S T2 L S L | X Y T2 X Y S X Y L X T2 S X T2 L X S L Y T2 S Y T2 L Y S L T2 S L | X Y T2 S X Y T2 L X Y S L X T2 S L Y T2 S L | X Y T2 S L |
Note on units