served from IRI/LDEO Climate Data Library
∫dS ∫dY [ Models SubC RSMAS CCSM4 forecast hfls ] : Surface Latent Heat Flux data
RSMAS CCSM4 forecast hfls int_dY Surface Latent Heat Flux from Models SubC: Subseasonal Consortium (SubC).Independent Variables (Grids)
- Lead (forecast_period)
- grid: /L (days) ordered (0.5 days) to (44.5 days) by 1.0 N= 45 pts :grid
- Ensemble Member (realization)
- grid: /M (ids) ordered (1) to (9) by 1.0 N= 9 pts :grid
- S (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered (1200 21 Jun 2017) to (1200 8 May 2024) by 7.0 N= 360 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90.5S) to (90.5N) by 1.0 N= 182 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.96920997E36
- level_type
- surface
- missing_value
- NaN
- pointwidth
- 0.0
- standard_name
- surface_upward_latent_heat_flux
- units
- 1507.9644737231 kilogram radian north second-2
Last updated: Wed, 08 May 2024 05:38:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | M | S | X | Y | |
 $integral dS$ $integral dY$ [ Models SubC RSMAS CCSM4 forecast hfls ] [ X Y | L M 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 L M S
- Differentiate along X Y L M S
- Take differences along X Y L M S
RMS (root mean square with mean *not* removed) over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
RMSA (root mean square with mean removed) over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Maximum over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Minimum over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Detrend (best-fit-line) over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Note on units