data: $partialdiff sub Y$ root mean sq anom [ NOAA NCDC ERSST version3b sst climatology ]

∂_Y root mean sq anom [ NOAA NCDC ERSST version3b sst climatology ] : ∂_Y Extended reconstructed sea surface temperature data

sst sst sst partial_Y ∂_Y Extended reconstructed sea surface temperature from NOAA NCDC ERSST version3b: ERSST.v3b: Extended Reconstructed Sea Surface Temperature Dataset, Verson 3b.

Independent Variables (Grids)

Time (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 (latitude): grid: /Y (degree_north) ordered (87S) to (87N) by 2.0 N= 88 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

CE

null

CS

null

datatype

realarraytype

iridl:hasSemantics

iridl:SeaSurfaceTemperature

missing_value

NaN

pointwidth

1.0

units

57.2957795130823 degree_Kelvin radian^-1 north

history

NOAA NCDC ERSST version3b sst climatology

Version 3b
Averaged over T2[1854, 2014] minimum 0.0% data present

$partialdiff sub Y$ root mean sq anom [ NOAA NCDC ERSST version3b sst climatology ]

Averaged over X[0, 2W] minimum 0.0% data present

References

Smith, T.M., R.W. Reynolds, Thomas C. Peterson, and Jay Lawrimore, 2008: Improvements to NOAA's Historical Merged Land-Ocean Surface Temperature Analysis (1880-2006). Journal of Climate, 21, 2283-2296.

Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871-2000. J. Climate, 16, 1601-1612.

Last updated: Thu, 11 Jun 2015 13:35:46 GMT
Expires: Thu, 02 Jul 2015 00:00:00 GMT

Data Views

	T	Y	zlev
$partialdiff sub Y$ root mean sq anom [ NOAA NCDC ERSST version3b sst climatology ] 0.0 meters[ Y zlev 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 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