served from IRI/LDEO Climate Data Library
ECMWF S2S NCEP reforecast perturbed pressure_level_2 t: Temperature data
reforecast perturbed pressure_level_2 Temperature from ECMWF S2S NCEP: NCEP CFSv2 Ensemble.Independent Variables (Grids)
- Lead (forecast_period)
- grid: /L (days) ordered (0.0 days) to (44.0 days) by 1.0 N= 45 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
- forecast start time (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered (0000 1 Jan 1999) to (0000 31 Dec 2010) by 1.0 N= 4383 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
- 04XXXX003C0000
- missing_value
- 9.99900026E20
- pointwidth
- 0.0
- standard_name
- air_temperature
- units
- K
- standard units*
- degree_Kelvin above 0
Last updated: Fri, 10 Nov 2023 19:23:03 GMT
Data Views
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colors with coasts| L | M | P | S | X | Y | |
 ECMWF S2S NCEP reforecast perturbed pressure_level_2 t[ 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