served from IRI/LDEO Climate Data Library
root mean sq ∂Y detrended-bfl [ OSUSFC DATA solr ] : ∂Y solar radiation data
DATA solr adif partial_Y ∂Y 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 (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (180W) to (175E) by 5.0 N= 72 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 1.00000002E30
- missing_value
- NaN
- units
- 57.2957795130823 kilogram radian-1 north second-3
- history
- root mean sq $partialdiff sub Y$ detrended-bfl [ OSUSFC DATA solr ]
- Averaged surface data Esbensen and Kushnir OSU CRI#29 1981
Averaged over Y[90S, 90N] minimum 0.0% data present
- 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: Mon, 12 Sep 2016 21:13:53 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars
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 T
- Differentiate along X T
- Take differences along X T
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |
Note on units