data: min [ $integral dY$ ( KAPLAN EXTENDED v2 ssta ) climatology ]

min [ ∫dY ( KAPLAN EXTENDED v2 ssta ) climatology ]: SST anomaly\0~ data

ssta int_dY int_dY min 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 (days since 1960-01-01) ordered [ (Jan 1960) (Feb 1960) (Mar 1960) (Apr 1960) (May 1960) (Jun 1960) (Jul 1960) (Aug 1960) (Sep 1960) (Oct 1960) (Nov 1960) (Dec 1960)] :grid
Latitude: grid: /Y (degree_north) ordered (90S) to (90N) by 5.0 N= 37 pts :grid

Other Info

CE

null

CS

null

datatype

realarraytype

file_missing_value

1.00000002E30

missing_value

NaN

units

0.0174532925199433 degree_Kelvin radian north

history

$integral dY$ [ KAPLAN EXTENDED v2 ssta ] climatology

OS extended by NCEP\0$G
Averaged over T2[1856, 2013] minimum 0.0% data present

min [ $integral dY$ ( KAPLAN EXTENDED v2 ssta ) climatology ]

min over X[27.5E, 22.5E]

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
grid: /Y (degree_north) ordered (90S) to (90N) by 5.0 N= 37 pts :grid		M
grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid	D
min [ $integral dY$ ( KAPLAN EXTENDED v2 ssta ) climatology ][ 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