served from dlibrary.snia.gub.uy
IRI Forecast_old GZ200_ECHAM-PRECIP_GPCC History hindcast_date: hindcast time data
hindcast time from IRI Forecast_old GZ200_ECHAM-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
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Training period
- grid: /T2 (months since 1960-01-01) ordered (1982) to (2013) by 12.0 N= 32 pts :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 183202704
- pointwidth
- 3
- units
- months since 1960-01-01
- standard units*
- 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )
Last updated: Wed, 08 Mar 2017 14:24:39 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| L | T | T2 | |
 IRI Forecast_old GZ200_ECHAM-PRECIP_GPCC History hindcast_date[ T2 T L |] | 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 T2 T L
- Differentiate along T2 T L
- Take differences along T2 T L
RMS (root mean square with mean *not* removed) over T2 T L | T2 T T2 L T L | T2 T L |
RMSA (root mean square with mean removed) over T2 T L | T2 T T2 L T L | T2 T L |
Maximum over T2 T L | T2 T T2 L T L | T2 T L |
Minimum over T2 T L | T2 T T2 L T L | T2 T L |
Detrend (best-fit-line) over T2 T L | T2 T T2 L T L | T2 T L |
Note on units