IRI FD NMME_Seasonal_Forecast Temperature_ELR dominant: Dominant Tercile Probability data

Dominant Tercile Probability from IRI FD NMME_Seasonal_Forecast Temperature_ELR: ELR NMME Seasonal forecasts for probabilities of below-normal, above-normal, and near-normal temperature.

Independent Variables (Grids)

Month Forecast Issued
grid: /F (months since 1960-01-01) ordered (Feb 2017) to (Apr 2024) by 1.0 N= 87 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 (0) to (1W) by 1.0 N= 360 pts :grid
Latitude (latitude)
grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid

Other Info

CE
99.601593
colorscalename
tercileclassesscale
CS
-99.601593
datatype
realarraytype
defaultvalue
771.5
fnname
masklt
maxncolor
254
missing_value
NaN
pointwidth
1
scale_max
99.601593
scale_min
-99.601593
units
percent
standard units*
0.01
colorscale

Last updated: Mon, 15 Apr 2024 12:00:12 GMT
Expires: Tue, 14 May 2024 00:00:00 GMT

Data Views

FLXY
[ X Y | L F]MMMM


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. Average over X Y L F | X Y X L X F Y L Y F L F | X Y L X Y F X L F Y L F | X Y L F |
RMS (root mean square with mean *not* removed) over X Y L F | X Y X L X F Y L Y F L F | X Y L X Y F X L F Y L F | X Y L F |
RMSA (root mean square with mean removed) over X Y L F | X Y X L X F Y L Y F L F | X Y L X Y F X L F Y L F | X Y L F |
Maximum over X Y L F | X Y X L X F Y L Y F L F | X Y L X Y F X L F Y L F | X Y L F |
Minimum over X Y L F | X Y X L X F Y L Y F L F | X Y L X Y F X L F Y L F | X Y L F |
Detrend (best-fit-line) over X Y L F | X Y X L X F Y L Y F L F | X Y L X Y F X L F Y L F | X Y L F |
Convert units from percent to

Note on units