IRI FD PepsiCo version2 NMME_Seasonal forecast_lead6 Thailand NASA-GEOSS2S_Temperature dominant: Dominant Tercile Probability data
Dominant Tercile Probability from IRI FD PepsiCo version2 NMME_Seasonal forecast_lead6 Thailand NASA-GEOSS2S_Temperature: NASA-GEOSS2S model Thailand long lead 6 seasonal forecasts for probabilities of below-normal, above-normal, and near-normal temperature, based on ELR method.
Independent Variables (Grids)
- Month Forecast Issued
- grid: /F (months since 1960-01-01) ordered (Oct 2021) to (Jun 2025) by 1.0 N= 45 pts :grid
- Forecast Lead Time in Months
- grid: /L (months) ordered (1.0 months) to (6.0 months) by 1.0 N= 6 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (85E) to (115E) by 1.0 N= 31 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2N) to (28N) by 1.0 N= 27 pts :grid
Other Info
- CE
- 100
- colorscalename
- tercileclassesscale
- CS
- -100
- datatype
- realarraytype
- defaultvalue
- 785.5
- 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: Tue, 10 Jun 2025 23:53:26 GMT
Expires: Mon, 14 Jul 2025 00:00:00 GMT