data: max $partialdiff sub T$ min [ KAPLAN EXTENDED v2 ssta ]

max ∂_T min [ KAPLAN EXTENDED v2 ssta ] : ∂_T SST anomaly\0~ data

ssta min partial_T ∂_T SST anomaly\0~ from KAPLAN EXTENDED v2: Statistically homogenous concatenation of Kaplan et al [1998] OS SST and Reynolds and Smith [1994] NCEP OI analyses; the latter gets degraded to the resolution of the former\0 ��X �.

Independent Variables (Grids)

Latitude: grid: /Y (degree_north) ordered (87.5S) to (87.5N) by 5.0 N= 36 pts :grid

Other Info

datatype

realarraytype

file_missing_value

1.00000002E30

missing_value

NaN

units

12 degree_Kelvin year^-1

history

$partialdiff sub T$ min [ KAPLAN EXTENDED v2 ssta ] 16 Jun 2014 - 15 Jul 2014

OS extended by NCEP\0$G
min over X[27.5E, 22.5E]

max $partialdiff sub T$ min [ KAPLAN EXTENDED v2 ssta ]

max over T[16 Jan 1856 - 15 Feb 1856, 16 Jun 2014 - 15 Jul 2014]

References

Kaplan, A., M. Cane, Y. Kushnir, A. Clement, M. Blumenthal, and B. Rajagopalan, Analyses of global sea surface temperature 1856-1991, Journal of Geophysical Research, 103, 18,567-18,589, 1998

R. W. Reynolds, T. M. Smith. Improved global sea surface temperature analyses.. J. Climate 7, 1994

Last updated: Tue, 29 Mar 2016 08:02:46 GMT

Data Views

	Y
max $partialdiff sub T$ min [ KAPLAN EXTENDED v2 ssta ] [ Y \|]	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
Differentiate along Y
Take differences along Y