served from dlibrary.snia.gub.uy
∂T2 [ MGAP CPT InputObs ]: ∂T2 input observations data
MGAP CPT InputObs InputObs InputObs InputObs InputObs InputObs ∂T2 input observations from SOURCES: datos de MGAP SNIA prueba.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered (2.5 months) to (4.5 months) by 1.0 N= 3 pts :grid
- Time (time)
- grid: /T (months since 01-Jan) ordered (Sep) to (Nov) by 1.0 N= 3 pts :grid
- T2
- grid: /T2 (days since 1960-01-01) ordered [ (Jul 1981 - Jun 1982) (0000 1 Jul 1982 - 0600 1 Jul 1983) (0600 1 Jul 1983 - 1800 30 Jun 1984) (1800 30 Jun 1984 - 2400 30 Jun 1985) (Jul 1985 - Jun 1986) (0000 1 Jul 1986 - 0600 1 Jul 1987) (0600 1 Jul 1987 - 1800 30 Jun 1988) (1800 30 Jun 1988 - 2400 30 Jun 1989) (Jul 1989 - Jun 1990) (0000 1 Jul 1990 - 0600 1 Jul 1991) (0600 1 Jul 1991 - 1800 30 Jun 1992) (1800 30 Jun 1992 - 2400 30 Jun 1993) (Jul 1993 - Jun 1994) (0000 1 Jul 1994 - 0600 1 Jul 1995) (0600 1 Jul 1995 - 1800 30 Jun 1996) (1800 30 Jun 1996 - 2400 30 Jun 1997) (Jul 1997 - Jun 1998) (0000 1 Jul 1998 - 0600 1 Jul 1999) (0600 1 Jul 1999 - 1800 30 Jun 2000) (1800 30 Jun 2000 - 2400 30 Jun 2001) (Jul 2001 - Jun 2002) (0000 1 Jul 2002 - 0600 1 Jul 2003) (0600 1 Jul 2003 - 1800 30 Jun 2004) (1800 30 Jun 2004 - 2400 30 Jun 2005) (Jul 2005 - Jun 2006) (0000 1 Jul 2006 - 0600 1 Jul 2007) (0600 1 Jul 2007 - 1800 30 Jun 2008) (1800 30 Jun 2008 - 2400 30 Jun 2009) (Jul 2009 - Jun 2010)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (59.5W) to (52.5W) by 0.5 N= 15 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (29.5S) to (35.5S) by 0.5 N= 13 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 3.0
- units
- 1.38888888888889×10-07 meter second-1 year-1
- history
- 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| L | T | T2 | X | Y | |
 $partialdiff sub T2$ [ MGAP CPT InputObs ][ X Y T2 | T L] | M | M | M | M | M |
|---|
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 T L
- Differentiate along X Y T2 T L
- Take differences along X Y T2 T L
RMS (root mean square with mean *not* removed) over X Y T2 T L | X Y X T2 X T X L Y T2 Y T Y L T2 T T2 L T L | X Y T2 X Y T X Y L X T2 T X T2 L X T L Y T2 T Y T2 L Y T L T2 T L | X Y T2 T X Y T2 L X Y T L X T2 T L Y T2 T L | X Y T2 T L |
RMSA (root mean square with mean removed) over X Y T2 T L | X Y X T2 X T X L Y T2 Y T Y L T2 T T2 L T L | X Y T2 X Y T X Y L X T2 T X T2 L X T L Y T2 T Y T2 L Y T L T2 T L | X Y T2 T X Y T2 L X Y T L X T2 T L Y T2 T L | X Y T2 T L |
Maximum over X Y T2 T L | X Y X T2 X T X L Y T2 Y T Y L T2 T T2 L T L | X Y T2 X Y T X Y L X T2 T X T2 L X T L Y T2 T Y T2 L Y T L T2 T L | X Y T2 T X Y T2 L X Y T L X T2 T L Y T2 T L | X Y T2 T L |
Minimum over X Y T2 T L | X Y X T2 X T X L Y T2 Y T Y L T2 T T2 L T L | X Y T2 X Y T X Y L X T2 T X T2 L X T L Y T2 T Y T2 L Y T L T2 T L | X Y T2 T X Y T2 L X Y T L X T2 T L Y T2 T L | X Y T2 T L |
Detrend (best-fit-line) over X Y T2 T L | X Y X T2 X T X L Y T2 Y T Y L T2 T T2 L T L | X Y T2 X Y T X Y L X T2 T X T2 L X T L Y T2 T Y T2 L Y T L T2 T L | X Y T2 T X Y T2 L X Y T L X T2 T L Y T2 T L | X Y T2 T L |
Note on units