served from IRI/LDEO Climate Data Library
∫dX ∫dY [ CAYAN Qnet ] : net heat flux data
Qnet int_dY net heat flux from CAYAN: Heat flux and irradiance data analysis of COADS from Cayan of Scripps.Independent Variables (Grids)
- month (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1946) to (Mar 1998) by 1.0 N= 627 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (2.5E) to (2.5E) by 5.0 N= 73 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (72.5N) to (42.5S) by 5.0 N= 24 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- file_missing_value
- -99999.0
- missing_value
- NaN
- units
- 0.000304617419786709 kilogram radian2 east second-3
- history
- Cayan Net Heat Flux Derived from COADS
References
Cayan, D., 1992: Latent and Sensible Heat Flux Anomalies over the Northern Oceans: The Connection to Monthly Atmospheric Circulation. J. Climate, 5, 354-369.
Last updated: Mon, 16 Feb 2015 21:51:21 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dX$ $integral dY$ [ CAYAN Qnet ] [ 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