served from IRI/LDEO Climate Data Library
∫dS [ ECMWF S2S NCEP reforecast perturbed pressure_level_2 t ]: Temperature data
reforecast perturbed pressure_level_2 t 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
- S (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered (1200 31 Dec 1998) to (1200 31 Dec 2010) by 1.0 N= 4384 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
- 04XXXX003C0000
- missing_value
- NaN
- pointwidth
- 0.0
- standard_name
- air_temperature
- units
- 86400 ( degree_Kelvin above 0 ) second
Last updated: Tue, 29 Aug 2023 13:34:15 GMT
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colors with coasts| L | M | P | S | X | Y | |
 $integral dS$ [ 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