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ECMWF S2S JMA forecast perturbedM49 pressure_level_1 w: Vertical Velocity (Pressure) data
pressure_level_1 Vertical Velocity (Pressure) from ECMWF S2S JMA forecast perturbedM49: JMA forecasts with 49 ensemble members.Independent Variables (Grids)
- Lead (forecast_period)
- grid: /L (days) ordered (0.5 days) to (32.5 days) by 1.0 N= 33 pts :grid
- Ensemble Member (realization)
- grid: /M (ids) ordered (1) to (49) by 1.0 N= 49 pts :grid
- Pressure Level (air_pressure)
- grid: /P1 (hPa) ordered [ (500)] :grid
- forecast start time (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered (1200 22 Mar 2017) to (1200 15 Apr 2024) by 1.0 N= 2582 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
- 04XXXX00010208
- missing_value
- 9.99900026E20
- pointwidth
- 0.0
- standard_name
- lagrangian_tendency_of_air_pressure
- units
- Pa /s
- standard units*
- kilogram meter-1 second-3
Last updated: Tue, 07 May 2024 07:12:52 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | M | P1 | S | X | Y | |
 ECMWF S2S JMA forecast perturbedM49 pressure_level_1 w 500 hPa[ X Y | M L P1 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 M L S
- Differentiate along X Y M L S
- Take differences along X Y M L S
RMS (root mean square with mean *not* removed) over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
RMSA (root mean square with mean removed) over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
Maximum over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
Minimum over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
Detrend (best-fit-line) over X Y M L S | X Y X M X L X S Y M Y L Y S M L M S L S | X Y M X Y L X Y S X M L X M S X L S Y M L Y M S Y L S M L S | X Y M L X Y M S X Y L S X M L S Y M L S | X Y M L S |
Note on units