data: $integral dY$ root mean sq min [ NOAA NCDC ERSST version3b sst ]

∫dY root mean sq min [ NOAA NCDC ERSST version3b sst ] : Extended reconstructed sea surface temperature data

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

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (89S) to (89N) by 2.0 N= 90 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

iridl:hasSemantics

iridl:SeaSurfaceTemperature

missing_value

NaN

pointwidth

1.0

units

0.0174532925199433 degree_Kelvin radian north

history

min [ NOAA NCDC ERSST version3b sst ]

Version 3b
min over T[Jan 1854, May 2015]

$integral dY$ root mean sq min [ NOAA NCDC ERSST version3b sst ]

Averaged over X[1W, 1W] 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

	Y	zlev
$integral dY$ root mean sq min [ NOAA NCDC ERSST version3b sst ] 0.0 meters[ Y zlev \|]	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
Differentiate along Y
Take differences along Y