data: root mean sq $partialdiff sub Y$ [ NOAA NCEP EMC CMB GLOBAL Reyn

root mean sq ∂_Y [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 climatology mask ] : ∂_Y Land-Sea Mask data

climatology mask partial_Y partial_Y ∂_Y Land-Sea Mask from NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2: SST fields updated from version 1 with more COADS data, new sea-ice to SST conversion algorithm, and 1971-2000 climatology.

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (89S) to (89N) by 1.0 N= 179 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
units: 57.2957795130823 radian^-1 north
history: Averaged over X[0.5E, 0.5E]

References

Reynolds, R.W., N.A. Rayner, T.M. Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite SST Analysis for Climate. J. Climate, 15, 1609-1625.

Last updated: Tue, 15 Aug 2017 14:04:01 GMT

Data Views

	Y
root mean sq $partialdiff sub Y$ [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 climatology mask ] [ Y \|]	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