data: detrended-bfl $partialdiff sub T$ detrended-bfl detrended-bfl [ CAYAN Qnet ] anomalies

served from IRI/LDEO Climate Data Library

detrended-bfl ∂_T detrended-bfl detrended-bfl [ CAYAN Qnet ] anomalies: ∂_T net heat flux data

Qnet Qnet Qnet Qnet adif adif partial_T adif ∂_T net heat flux from CAYAN: Heat flux and irradiance data analysis of COADS from Cayan of Scripps.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (16 Jan 1960 - 15 Feb 1960) to (16 Feb 1998 - 15 Mar 1998) by 1.0 N= 458 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered [ (130E)] :grid
Latitude (latitude): grid: /Y (degree_north) ordered [ (20N)] :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-99999.0

missing_value

NaN

units

12 kilogram second^-3 year^-1

history

detrended-bfl $partialdiff sub T$ detrended-bfl detrended-bfl [ CAYAN Qnet ]
Cayan Net Heat Flux Derived from COADS

detrended-bfl $partialdiff sub T$ detrended-bfl detrended-bfl [ CAYAN Qnet ] climatology

Cayan Net Heat Flux Derived from COADS
Averaged over T2[16 Jan 1960 - 15 Jan 1961, 16 Jan 1997 - 15 Jan 1998] minimum 0.0% data present

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: Fri, 18 Sep 2015 18:39:06 GMT

Data Views

	T	X	Y
detrended-bfl $partialdiff sub T$ detrended-bfl detrended-bfl [ CAYAN Qnet ] anomalies 130E 20N[ 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 T
Differentiate along T
Take differences along T