served from dlibrary.snia.gub.uy
∂T2 max [ L , max ( MGAP CPT hindcast_date ) ] : ∂T2 Forecast Lead Time in Months, hindcast time data
∂T2 max [ L , max ( MGAP CPT hindcast_date ) ] .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
- T2
- grid: /T2 (months since 1960-01-01) ordered (Jul 1980 - Jun 1981) to (Jul 2010 - Jun 2011) by 12.0 N= 31 pts :grid
Other Info
- datatype
- realarraytype
- fnname
- max
- gridid
- 183234832
- pointwidth
- 3.0
- scale_max
- null
- scale_min
- null
- units
- unitless
- history
- max over T[16 Sep 1960 - 15 Oct 1960, 16 Oct 1960 - 15 Nov 1960]
Last updated: Thu, 04 Feb 2016 15:18:08 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| L | T2 | |
 doc[] | ||
| MGAP CPT[Forecast
PredErrorVars
hindcast_date
InputObs
CFSv2_AtlPac_sst
CrossValHind
PearsonR
target_date
] | ||
| grid: /T2 (months since 1960-01-01) ordered (1980) to (2011) by 12.0 N= 32 pts :grid | O=6.0 | |
|---|---|---|
| grid: /T (months since 01-Jan) ordered (Sep) to (Nov) by 1.0 N= 3 pts :grid | ||
 $partialdiff sub T2$ max [ L , max ( MGAP CPT hindcast_date ) ] [ L | T2] | 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 L T2
- Differentiate along L T2
- Take differences along L T2
RMS (root mean square with mean *not* removed) over L T2 | L T2 |
RMSA (root mean square with mean removed) over L T2 | L T2 |
Maximum over L T2 | L T2 |
Minimum over L T2 | L T2 |
Detrend (best-fit-line) over L T2 | L T2 |
Note on units