Data Library ANACIM CPT ENACTSv1 cfs2 sst precip Forecast DomTerProb
X17.60625W - 11.19375W
Y12.20625N - 16.81875N
SApr 2018
L[1.5 5.5] months
served from 213.154.77.59

ANACIM CPT ENACTSv1 cfs2 sst precip Forecast DomTerProb: Probabilités du Tercile Dominant data

Probabilités du Tercile Dominant from ANACIM CPT ENACTSv1 cfs2 sst precip Forecast: Prédictions.

Independent Variables (Grids)

Horizon
grid: /L (months) ordered (2.5 months) to (4.5 months) N= 2 pts :grid
Initialisation (forecast_reference_time)
grid: /S (months since 1960-01-01) ordered (0000 1 Apr 2018) to (0000 1 May 2018) N= 2 pts :grid
Longitude (longitude)
grid: /X (degree_east) ordered (17.5875W) to (11.2125W) by 0.0375 N= 171 pts :grid
Latitude (latitude)
grid: /Y (degree_north) ordered (16.8N) to (12.225N) by 0.03749999 N= 123 pts :grid

Other Info

Key
1.0<35 SN
2.035-40 SN
3.040-45 SN
4.045-50 SN
5.050-55 SN
6.055-60 SN
7.060-65 SN
8.065-70 SN
9.070-75 SN
10.075-80 SN
11.0>80 SN
12.0<35 PN
13.035-40 PN
14.040-45 PN
15.045-50 PN
16.050-55 PN
17.055-60 PN
18.060-65 PN
19.065-70 PN
20.070-75 PN
21.075-80 PN
22.0>80 PN
23.0<35 AN
24.035-40 AN
25.040-45 AN
26.045-50 AN
27.050-55 AN
28.055-60 AN
29.060-65 AN
30.065-70 AN
31.070-75 AN
32.075-80 AN
33.0>80 AN
bufferwordsize
4
CE
33
colorscalename
tercileclassesscale
CS
1
datatype
realarraytype
file_missing_value
0
fnname
maskle
maxncolor
254
missing_value
NaN
pointwidth
0
scale_max
33.0
scale_min
1.0
units
ids
history
[ masklt ( { [ dominant_class ( ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ) - 1. ] * 11. } , 22 ) + dominant_class ( ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Audessus_PNe ) ] + [ masknotrange ( { [ dominant_class ( ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ) - 1. ] * 11. } , 10 , 12 ) + dominant_class ( ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Proche_PNe ) ]
masklt [ ( { dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ] - 1. } * 11. ) , 22 ] + dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Audessus_PNe ]
masklt [ ( { dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ] - 1. } * 11. ) , 22 ]
dominant_class over C[Sous_PNe, Audessus_PNe]
dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Audessus_PNe ]
dominant_class over TercProb[<35, >80]
masknotrange [ ( { dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ] - 1. } * 11. ) , 10 , 12 ] + dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Proche_PNe ]
masknotrange [ ( { dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Sous_PNe, Audessus_PNe]
dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Proche_PNe ]
dominant_class over TercProb[<35, >80]
maskgt [ ( { dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ] - 1. } * 11. ) , 0 ] + dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Sous_PNe ]
maskgt [ ( { dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb ] - 1. } * 11. ) , 0 ]
dominant_class over C[Sous_PNe, Audessus_PNe]
dominant_class [ ANACIM CPT ENACTSv1 cfs2 sst precip Forecast TercProb Sous_PNe ]
dominant_class over TercProb[<35, >80]
colorscale

Last updated: Thu, 26 Oct 2023 14:58:08 GMT

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