IRI FD Kaust AP_NMME_Seasonal forecast NASA-GEOSS2S_Temperature prob: Tercile Probability data

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)

Tercile Classes
grid: /C (ids) unordered [ (Below_Normal) (Normal) (Above_Normal)] :grid
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
tercileclassesscale
CS
0
datatype
doublearraytype
defaultvalue
786.5
maxncolor
254
pointwidth
1
scale_max
100.0
scale_min
0.0
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

Data Views

CFLXY
[ X Y C | L F]MMMMM