served from IRI/LDEO Climate Data Library
∫dS [ ECMWF S2S CMA BCC-CPS-S2Sv2 reforecast perturbed pressure_level_wind u ]: U-Component of Wind data
reforecast perturbed pressure_level_wind u U-Component of Wind from ECMWF S2S CMA BCC-CPS-S2Sv2: Beijing Climate Center (BCC) Climate Prediction System version 2 for S2S.Independent Variables (Grids)
- Lead (forecast_period)
- grid: /L (days) ordered (0.0 days) to (60.0 days) by 1.0 N= 61 pts :grid
- Ensemble Member (realization)
- grid: /M (ids) ordered (1) to (3) by 1.0 N= 3 pts :grid
- Pressure Level (air_pressure)
- grid: /P (hPa) ordered [ (10) (50) (100) (200) (300) (500) (700) (850) (925) (1000)] :grid
- S (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered (1200 10 Nov 2004) to (1200 9 Nov 2019) by 1.0 N= 5478 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
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.99900026E20
- gribPDSpattern
- 04XXXX003C0202
- missing_value
- NaN
- pointwidth
- 0.0
- standard_name
- eastward_wind
- units
- 86400 meter
Last updated: Tue, 29 Aug 2023 13:33:38 GMT
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 $integral dS$ [ ECMWF S2S CMA BCC-CPS-S2Sv2 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