data: $partialdiff sub T$ $integral dT$ $integral dT$ detrended-bfl [ CAYAN Qnet climatology ]

served from IRI/LDEO Climate Data Library

∂_T ∫dT ∫dT detrended-bfl [ CAYAN Qnet climatology ] : ∂_T net heat flux data

Qnet Qnet Qnet Qnet Qnet adif adif int_dT int_dT int_dT ∂_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 Dec 1960 - 15 Jan 1961) by 1.0 N= 12 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered [ (130E)] :grid
Latitude (latitude): grid: /Y (degree_north) ordered [ (20N)] :grid

Other Info

CE

null

CS

null

datatype

realarraytype

file_missing_value

-99999.0

missing_value

NaN

units

0.0833333333333333 kilogram second^-3 year

history

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

Cayan Net Heat Flux Derived from COADS
Averaged over T2[1960, 1997] 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: Mon, 16 Feb 2015 21:51:21 GMT

Data Views

	T	X	Y
grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid	O=0.5
$partialdiff sub T$ $integral dT$ $integral dT$ detrended-bfl [ CAYAN Qnet climatology ] 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