served from IRI/LDEO Climate Data Library
∫dX [ IRI Analyses ICPAC Models Washington NCEP-CFSv2 FORECAST PENTAD_SAMPLES MONTHLY tref ]: Reference Temperature data
MONTHLY tref Reference Temperature from IRI Analyses ICPAC Models Washington NCEP-CFSv2 FORECAST PENTAD_SAMPLES: pentad realtime forecasts organized as monthly starts of 24-28 members, starting from Apr 2011, matching pattern of CFSv2 hindcast starts.Independent Variables (Grids)
- L
- grid: /L (months) ordered (0.5 months) to (9.5 months) by 1.0 N= 10 pts :grid
- M
- grid: /M (unitless) ordered (1.0) to (28.0) by 1.0 N= 28 pts :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Apr 2011) to (0000 1 Apr 2024) by 1.0 N= 157 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (0.5W) to (0.5W) by 1.0 N= 361 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- cNZ
- 0
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.99900026E20
- gribfield
- 1
- missing_value
- NaN
- pointwidth
- 0
- standard_name
- air_temperature
- units
- 0.0174532925199433 ( degree_Kelvin above 0 ) radian east
- history
- Boxes with less than 0.0% dropped
Last updated: Sat, 27 Apr 2024 07:20:45 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | M | S | X | Y | |
 $integral dX$ [ IRI Analyses ICPAC Models Washington NCEP-CFSv2 FORECAST PENTAD_SAMPLES MONTHLY tref ][ X Y | M L S] | 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