served from IRI/LDEO Climate Data Library
IRI FD CPT PAGASA PredErrorVars: prediction error variance data
PAGASA prediction error variance from IRI FD CPT: Climate Prediction Tool.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered (2.5 months) to (5.5 months) by 1.0 N= 4 pts :grid
- Start time (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2010) to (0000 1 Mar 2017) by 1.0 N= 87 pts :grid
- Station
- grid: /STNID (ids) ordered (1) to (77) by 1.0 N= 77 pts :grid
Other Info
- bufferwordsize
- 4
- datatype
- realarraytype
- missing_value
- -999.0
- pointwidth
- 0
- scale_min
- 0.0
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- history
- Output from CPT for 12 3-month running seasons for 1977-2003 between Echam4.5 CASST GCM and PAGASA stations dataset, CPT recompiled on Mac 9.04 version
Last updated: Fri, 11 Jun 2021 17:23:22 GMT
Expires: Fri, 09 Jul 2021 00:00:00 GMT
Data Views
Views
data as colors
data as contours| L | S | STNID | |
 IRI FD CPT PAGASA PredErrorVars[ STNID | S 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 STNID S L
- Differentiate along STNID S L
- Take differences along STNID S L
RMS (root mean square with mean *not* removed) over STNID S L | STNID S STNID L S L | STNID S L |
RMSA (root mean square with mean removed) over STNID S L | STNID S STNID L S L | STNID S L |
Maximum over STNID S L | STNID S STNID L S L | STNID S L |
Minimum over STNID S L | STNID S STNID L S L | STNID S L |
Detrend (best-fit-line) over STNID S L | STNID S STNID L S L | STNID S L |
Note on units