data: mean root mean sq $partialdiff sub Y$ $integral dX$ $integral dT$ $integral dX$ [ IGOSS nmc Reyn

served from IRI/LDEO Climate Data Library

mean root mean sq ∂_Y ∫dX ∫dT ∫dX [ IGOSS nmc Reyn_SmithOIv2 weekly sst ] : ∂_Y Sea Surface Temperature data

weekly sst sst sst int_dX int_dT int_dX partial_Y partial_Y ∂_Y Sea Surface Temperature from IGOSS nmc 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)

Time (time): grid: /T (julian_day) ordered [ (5-11 Nov 1981) (12-18 Nov 1981) (19-25 Nov 1981) ... (24-30 Nov 2019)] N= 1987 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

sstcolorscale

CS

null

datatype

doublearraytype

units

1507.9644737231 degree_Kelvin radian east second

history

mean root mean sq $partialdiff sub Y$ $integral dX$ $integral dT$ $integral dX$ [ IGOSS nmc Reyn_SmithOIv2 weekly sst ]

Averaged over X[0.5W, 0.5E]
Averaged over Y[89S, 89N]

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: Mon, 02 Dec 2019 08:01:50 GMT
Expires: Mon, 09 Dec 2019 00:00:00 GMT

Data Views

	T
mean root mean sq $partialdiff sub Y$ $integral dX$ $integral dT$ $integral dX$ [ IGOSS nmc Reyn_SmithOIv2 weekly sst ] [ \| T]	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 T
Differentiate along T
Take differences along T