data: min $partialdiff sub X$ $integral dY$ [ KAPLAN EXTENDED v2 ssta ]

min ∂_X ∫dY [ KAPLAN EXTENDED v2 ssta ] : ∂_X SST anomaly\0~ data

ssta int_dY partial_X ∂_X 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)

Time: grid: /T (months since 1960-01-01) ordered (Jan 1856) to (Jul 2014) by 1.0 N= 1903 pts :grid
Latitude: grid: /Y (degree_north) ordered (90S) to (90N) by 5.0 N= 37 pts :grid

Other Info

datatype

realarraytype

file_missing_value

1.00000002E30

missing_value

NaN

units

degree_Celsius

standard units*

degree_Kelvin

history

min $partialdiff sub X$ $integral dY$ [ KAPLAN EXTENDED v2 ssta ]

OS extended by NCEP\0$G
min over X[25E, 20E]

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

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

Average over Y T | Y T |
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |

Note on units