data: $integral dT$ $integral dT$ [ WEARE CLIMO dqsa ]

served from IRI/LDEO Climate Data Library

∫dT ∫dT [ WEARE CLIMO dqsa ] : sea-air specific humidity difference data

CLIMO dqsa int_dT sea-air specific humidity difference from WEARE: Marine climate atlas of the tropical Pacific Ocean.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (0000 16 Dec 1959) to (0000 16 Jan 1961) by 1.0 N= 14 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (112.5E) to (72.5W) by 5.0 N= 36 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (37.5S) to (27.5N) by 5.0 N= 14 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: 1.00000002E30
missing_value: NaN
units: 6.94444444444444×10^-06 year²
history: Weare monthly surface data climatology 1957-1976

References

page 0: illegal page type or format PANIC: Invalid argument PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery Weare_etal1980

Weare_etal1981

Last updated: Mon, 12 Sep 2016 21:13:52 GMT

Data Views

	T	X	Y
$integral dT$ $integral dT$ [ WEARE CLIMO dqsa ] [ Y X \| 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 Y X T
Differentiate along Y X T
Take differences along Y X T