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

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

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

Variables Indépendantes (Grilles)

Longitude (longitude): grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (88S) to (88N) by 2.0 N= 89 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Autres Informations

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

iridl:hasSemantics

iridl:SeaSurfaceTemperature

missing_value

NaN

pointwidth

1.0

units

57.2957795130823 degree_Kelvin radian^-1 east

history

$partialdiff sub X$ [ NOAA NCDC ERSST version3b sst ] climatology

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

root mean sq anom [ $partialdiff sub X$ ( NOAA NCDC ERSST version3b sst ) climatology ]

Averaged over T[Jan, Dec] minimum 0.0% data present

Références

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.

Dernière Mise à jour: Thu, 11 Jun 2015 13:35:46 GMT
Expire: Thu, 02 Jul 2015 00:00:00 GMT

Data Views

	X	Y	zlev
root mean sq anom [ $partialdiff sub X$ ( NOAA NCDC ERSST version3b sst ) climatology ] 0.0 meters[ X Y zlev \|]	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 X Y
Differentiate along X Y
Take differences along X Y

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

Note on units