served from IRI/LDEO Climate Data Library
IRI FD NMME_Seasonal_Forecast ELR_coeffsv2 fcstmean precip: Ensemble Mean Precipitation data
Ensemble Mean Precipitation from IRI FD NMME_Seasonal_Forecast ELR_coeffsv2 fcstmean: Forecast Ensemble Mean.Independent Variables (Grids)
- Lead Time
- grid: /L (months) ordered (2.5 months) to (5.5 months) by 1.0 N= 4 pts :grid
- Models
- grid: /modl (unitless) ordered (1.0) to (8.0) by 1.0 N= 8 pts :grid
- Start Time
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2011) to (0000 1 Jul 2024) by 1.0 N= 163 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
- null
- colorscalename
- precip_colors
- CS
- 0
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0.0
- scale_min
- 0.0
- units
- mm /month
- standard units*
- 0.012 meter year-1
Last updated: Mon, 15 Jul 2024 12:00:12 GMT
Expires: Wed, 14 Aug 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | modl | S | X | Y | |
 IRI FD NMME_Seasonal_Forecast ELR_coeffsv2 fcstmean precip[ X Y modl L | S] | M | M | M | M | M |
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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.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along X Y modl L S
- Differentiate along X Y modl L S
- Take differences along X Y modl L S
RMS (root mean square with mean *not* removed) over X Y modl L S | X Y X modl X L X S Y modl Y L Y S modl L modl S L S | X Y modl X Y L X Y S X modl L X modl S X L S Y modl L Y modl S Y L S modl L S | X Y modl L X Y modl S X Y L S X modl L S Y modl L S | X Y modl L S |
RMSA (root mean square with mean removed) over X Y modl L S | X Y X modl X L X S Y modl Y L Y S modl L modl S L S | X Y modl X Y L X Y S X modl L X modl S X L S Y modl L Y modl S Y L S modl L S | X Y modl L X Y modl S X Y L S X modl L S Y modl L S | X Y modl L S |
Maximum over X Y modl L S | X Y X modl X L X S Y modl Y L Y S modl L modl S L S | X Y modl X Y L X Y S X modl L X modl S X L S Y modl L Y modl S Y L S modl L S | X Y modl L X Y modl S X Y L S X modl L S Y modl L S | X Y modl L S |
Minimum over X Y modl L S | X Y X modl X L X S Y modl Y L Y S modl L modl S L S | X Y modl X Y L X Y S X modl L X modl S X L S Y modl L Y modl S Y L S modl L S | X Y modl L X Y modl S X Y L S X modl L S Y modl L S | X Y modl L S |
Detrend (best-fit-line) over X Y modl L S | X Y X modl X L X S Y modl Y L Y S modl L modl S L S | X Y modl X Y L X Y S X modl L X modl S X L S Y modl L Y modl S Y L S modl L S | X Y modl L X Y modl S X Y L S X modl L S Y modl L S | X Y modl L S |
Note on units