served from IRI/LDEO Climate Data Library
ECMWF S2S CNRM reforecast perturbed pressure_level_wind u: U-Component of Wind data
reforecast perturbed pressure_level_wind U-Component of Wind from ECMWF S2S CNRM: CNRM Ensemble Prediction System.Independent Variables (Grids)
- Lead (forecast_period)
- grid: /L (days) ordered (0.0 days) to (61.0 days) by 1.0 N= 62 pts :grid
- Ensemble Member (realization)
- grid: /M (ids) ordered (1) to (14) by 1.0 N= 14 pts :grid
- Pressure Level (air_pressure)
- grid: /P (hPa) ordered [ (10) (50) (100) (200) (300) (500) (700) (850) (925) (1000)] :grid
- S
- grid: /S (days since 1960-01-01) ordered [ (0000 1 Jan 1993) (0000 15 Jan 1993) (0000 1 Feb 1993) ... (0000 15 Dec 2014)] N= 528 pts :grid
- longitude (longitude)
- grid: /X (degree_east) periodic (0) to (1.5W) by 1.5 N= 240 pts :grid
- latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 1.5 N= 121 pts :grid
Other Info
- bufferwordsize
- 4
- datatype
- realarraytype
- gribPDSpattern
- 04XXXX003C0202
- missing_value
- 9.99900026E20
- pointwidth
- 0.0
- standard_name
- eastward_wind
- units
- m /s
- standard units*
- meter second-1
Last updated: Tue, 29 Aug 2023 13:33:38 GMT
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colors with coasts| L | M | P | S | X | Y | |
 ECMWF S2S CNRM reforecast perturbed pressure_level_wind u[ X Y | P M L S] | M | 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 P M L S
- Differentiate along X Y P M L S
- Take differences along X Y P M L S
RMS (root mean square with mean *not* removed) over X Y P M L S | X Y X P X M X L X S Y P Y M Y L Y S P M P L P S M L M S L S | X Y P X Y M X Y L X Y S X P M X P L X P S X M L X M S X L S Y P M Y P L Y P S Y M L Y M S Y L S P M L P M S P L S M L S | X Y P M X Y P L X Y P S X Y M L X Y M S X Y L S X P M L X P M S X P L S X M L S Y P M L Y P M S Y P L S Y M L S P M L S | X Y P M L X Y P M S X Y P L S X Y M L S X P M L S Y P M L S | X Y P M L S |
RMSA (root mean square with mean removed) over X Y P M L S | X Y X P X M X L X S Y P Y M Y L Y S P M P L P S M L M S L S | X Y P X Y M X Y L X Y S X P M X P L X P S X M L X M S X L S Y P M Y P L Y P S Y M L Y M S Y L S P M L P M S P L S M L S | X Y P M X Y P L X Y P S X Y M L X Y M S X Y L S X P M L X P M S X P L S X M L S Y P M L Y P M S Y P L S Y M L S P M L S | X Y P M L X Y P M S X Y P L S X Y M L S X P M L S Y P M L S | X Y P M L S |
Maximum over X Y P M L S | X Y X P X M X L X S Y P Y M Y L Y S P M P L P S M L M S L S | X Y P X Y M X Y L X Y S X P M X P L X P S X M L X M S X L S Y P M Y P L Y P S Y M L Y M S Y L S P M L P M S P L S M L S | X Y P M X Y P L X Y P S X Y M L X Y M S X Y L S X P M L X P M S X P L S X M L S Y P M L Y P M S Y P L S Y M L S P M L S | X Y P M L X Y P M S X Y P L S X Y M L S X P M L S Y P M L S | X Y P M L S |
Minimum over X Y P M L S | X Y X P X M X L X S Y P Y M Y L Y S P M P L P S M L M S L S | X Y P X Y M X Y L X Y S X P M X P L X P S X M L X M S X L S Y P M Y P L Y P S Y M L Y M S Y L S P M L P M S P L S M L S | X Y P M X Y P L X Y P S X Y M L X Y M S X Y L S X P M L X P M S X P L S X M L S Y P M L Y P M S Y P L S Y M L S P M L S | X Y P M L X Y P M S X Y P L S X Y M L S X P M L S Y P M L S | X Y P M L S |
Detrend (best-fit-line) over X Y P M L S | X Y X P X M X L X S Y P Y M Y L Y S P M P L P S M L M S L S | X Y P X Y M X Y L X Y S X P M X P L X P S X M L X M S X L S Y P M Y P L Y P S Y M L Y M S Y L S P M L P M S P L S M L S | X Y P M X Y P L X Y P S X Y M L X Y M S X Y L S X P M L X P M S X P L S X M L S Y P M L Y P M S Y P L S Y M L S P M L S | X Y P M L X Y P M S X Y P L S X Y M L S X P M L S Y P M L S | X Y P M L S |
Note on units