data: IRI FD NMME_Seasonal_Forecast ELR_coeffs_IMD fcstmean target

served from IRI/LDEO Climate Data Library

IRI FD NMME_Seasonal_Forecast ELR_coeffs_IMD fcstmean target_date: forecast time data

forecast time from IRI FD NMME_Seasonal_Forecast ELR_coeffs_IMD fcstmean: Forecast Ensemble Mean.

Independent Variables (Grids)

Lead Time: grid: /L (months) ordered (2.5 months) to (5.5 months) by 1.0 N= 4 pts :grid
Start Time: grid: /S (months since 1960-01-01) ordered (0000 1 Nov 2017) to (0000 1 Jul 2018) by 1.0 N= 9 pts :grid

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
gridid: 195770504
pointwidth: 3
scale_max: null
scale_min: null
units: months since 1960-01-01
standard units*: 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )

Last updated: Tue, 23 Nov 2021 19:15:51 GMT

Data Views

	L	S
IRI FD NMME_Seasonal_Forecast ELR_coeffs_IMD fcstmean target_date[ S L \|]	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 S L
Differentiate along S L
Take differences along S L

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

Note on units