served from IRI/LDEO Climate Data Library
SOC GASC97 hfls: Heat flux latent surface (Positive for heat gain by the ocean) data
hfls Heat flux latent surface (Positive for heat gain by the ocean) from SOC GASC97: Global air-sea heat and momentum flux climatology from the Southampton Oceanography Centre.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude
- grid: /X (degree_east) periodic (179.5W) to (179.5E) by 1.0 N= 360 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (84S) to (84N) by 1.0 N= 169 pts :grid
Other Info
- calendar
- standard
- center
- Southampton Oceanography Centre,UK
- comments
- Bulk formulae estimate, Smith(1988)
- Conventions
- COARDS
- datatype
- realarraytype
- file_missing_value
- 1.00000002E20
- grid_name
- generic grid
- grid_type
- generic
- level_description
- Earth surface
- missing_value
- NaN
- model
- time_statistic
- average
- units
- W /m2
- standard units*
- kilogram second-3
References
Josey_etal1999Last updated: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 SOC GASC97 hfls[ X Y | T] | M | M | M |
|---|
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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units