data: Models NMME NCEP-CFSv2 FORECAST PENTAD

served from IRI/LDEO Climate Data Library

Models NMME NCEP-CFSv2 FORECAST PENTAD_SAMPLES MONTHLY T: Forecast Time data

MONTHLY Forecast Time from Models NMME NCEP-CFSv2 FORECAST PENTAD_SAMPLES: pentad realtime forecasts organized as monthly starts of 24-28 members, starting from Apr 2011, matching pattern of CFSv2 hindcast starts.

Independent Variables (Grids)

L: grid: /L (months) ordered (0.5 months) to (9.5 months) by 1.0 N= 10 pts :grid
S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Apr 2011) to (0000 1 Apr 2024) by 1.0 N= 157 pts :grid

Other Info

bufferwordsize: 4
calendar: 360
CE: null
CS: null
datatype: realarraytype
pointwidth: 1
standard_name: time
units: months since 1960-01-01
standard units*: 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )

References

Kirtman_etal2014

Last updated: Tue, 23 Apr 2024 07:14:16 GMT

Data Views

	L	S
Models NMME NCEP-CFSv2 FORECAST PENTAD_SAMPLES MONTHLY T[ L \| S]	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 S
Differentiate along L S
Take differences along L S

Average over L S | L S |
RMS (root mean square with mean *not* removed) over L S | L S |
RMSA (root mean square with mean removed) over L S | L S |
Maximum over L S | L S |
Minimum over L S | L S |
Detrend (best-fit-line) over L S | L S |

Note on units