served from IRI/LDEO Climate Data Library
∫dY [ OSUSFC DATA solr ]: solar radiation data
DATA solr int_dY int_dY solar radiation from OSUSFC: Global ocean heat flux and wind stress from Oregon State University Climate Research Institute.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (16 Jan - 15 Feb) to (16 Dec - 15 Jan) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (180W) to (175E) by 5.0 N= 72 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90S) to (90N) by 4.0 N= 46 pts :grid
Other Info
- datatype
- realarraytype
- file_missing_value
- 1.00000002E30
- missing_value
- NaN
- units
- 0.0174532925199433 kilogram radian north second-3
- history
- Averaged surface data Esbensen and Kushnir OSU CRI#29 1981
References
Esbensen, S. K., V. Kushnir. The heat budget of the global ocean: An atlas based on estimates from surface marine observations, number 29, 1981
Last 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 | |
 $integral dY$ [ OSUSFC DATA solr ][ 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