served from IRI/LDEO Climate Data Library
IRI FD Kaust AP_NMME_Seasonal forecast NASA-GEOSS2S_Temperature dominant: Dominant Tercile Probability data
Dominant Tercile Probability from IRI FD Kaust AP_NMME_Seasonal forecast NASA-GEOSS2S_Temperature: NASA-GEOSS2S model AP seasonal forecasts for probabilities of below-normal, above-normal, and near-normal temperature, based on ELR method, with new period 1991-2020.Independent Variables (Grids)
- Month Forecast Issued
- grid: /F (months since 1960-01-01) ordered (Dec 2022) to (Jul 2025) by 1.0 N= 32 pts :grid
- Forecast Lead Time in Months
- grid: /L (months) ordered (1.0 months) to (4.0 months) by 1.0 N= 4 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (20E) to (60E) by 1.0 N= 41 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (5N) to (40N) by 1.0 N= 36 pts :grid
Other Info
- CE
- 100
- colorscalename
- dominant_temp_color
- CS
- -100
- datatype
- realarraytype
- defaultvalue
- 786.5
- fnname
- masklt
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1
- scale_max
- 100.0
- scale_min
- -100.0
- units
- percent
- standard units*
- 0.01
- colorscale
Last updated: Mon, 07 Jul 2025 19:56:29 GMT
Expires: Thu, 14 Aug 2025 00:00:00 GMT
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 IRI FD Kaust AP_NMME_Seasonal forecast NASA-GEOSS2S_Temperature dominant[ X Y | L F] | M | M | M | M |
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