served from dlibrary.snia.gub.uy
root mean sq ∫dT2 ∂L [ MGAP CPT InputObs ] : ∂L input observations data
MGAP CPT InputObs partial_L partial_L int_dT2 int_dT2 int_dT2 ∂L input observations from SOURCES: datos de MGAP SNIA prueba.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Sep 1960 - 15 Oct 1960) to (16 Oct 1960 - 15 Nov 1960) N= 2 pts :grid
- T2
- grid: /T2 (days since 1960-01-01) ordered [ (0000 1 Jan 1980) (0000 1 Jan 1981) (0000 1 Jan 1982) (0000 1 Jan 1983) (0000 1 Jan 1984) (0000 1 Jan 1985) (0000 1 Jan 1986) (0000 1 Jan 1987) (0000 1 Jan 1988) (0000 1 Jan 1989) (0000 1 Jan 1990) (0000 1 Jan 1991) (0000 1 Jan 1992) (0000 1 Jan 1993) (0000 1 Jan 1994) (0000 1 Jan 1995) (0000 1 Jan 1996) (0000 1 Jan 1997) (0000 1 Jan 1998) (0000 1 Jan 1999) (0000 1 Jan 2000) (0000 1 Jan 2001) (0000 1 Jan 2002) (0000 1 Jan 2003) (0000 1 Jan 2004) (0000 1 Jan 2005) (0000 1 Jan 2006) (0000 1 Jan 2007) (0000 1 Jan 2008) (0000 1 Jan 2009) (0000 1 Jan 2010) (0000 1 Jan 2011) (0000 1 Jan 2012)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (59.75W) to (52.25W) by 0.5 N= 16 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (29.5S) to (35.5S) by 0.5 N= 13 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 3.0
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- root mean sq $integral dT2$ $partialdiff sub L$ [ MGAP CPT InputObs ]
- 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 L[2.5 months, 4.5 months] 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
colors with land
contours with land
colors with coasts| T | T2 | X | Y | |
 root mean sq $integral dT2$ $partialdiff sub L$ [ MGAP CPT InputObs ] [ X Y T2 T |] | 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
- Differentiate along X Y T2 T
- Take differences along X Y T2 T
RMS (root mean square with mean *not* removed) over X Y T2 T | X Y X T2 X T Y T2 Y T T2 T | X Y T2 X Y T X T2 T Y T2 T | X Y T2 T |
RMSA (root mean square with mean removed) over X Y T2 T | X Y X T2 X T Y T2 Y T T2 T | X Y T2 X Y T X T2 T Y T2 T | X Y T2 T |
Maximum over X Y T2 T | X Y X T2 X T Y T2 Y T T2 T | X Y T2 X Y T X T2 T Y T2 T | X Y T2 T |
Minimum over X Y T2 T | X Y X T2 X T Y T2 Y T T2 T | X Y T2 X Y T X T2 T Y T2 T | X Y T2 T |
Detrend (best-fit-line) over X Y T2 T | X Y X T2 X T Y T2 Y T T2 T | X Y T2 X Y T X T2 T Y T2 T | X Y T2 T |
Note on units