served from IRI/LDEO Climate Data Library
root mean sq root mean sq root mean sq ∂T [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly sst anomalies ] : ∂T Sea Surface Temperature data
monthly sst sst sst partial_T partial_T partial_T ∂T Sea Surface Temperature from NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1: Sea surface temperature fields blended from ship, buoy and bias-corrected satellite data (Reynolds and Smith 1994). isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- sstcolorscale
- CS
- null
- datatype
- doublearraytype
- PLOTCOAST
- 1
- units
- 12 degree_Kelvin year-1
- history
- NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly sst
- Monthly mean sea surface temperature (blended from ship, buoy and bias-corrected satellite data).
- NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly sst climatology
- NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly sst
- Monthly mean sea surface temperature (blended from ship, buoy and bias-corrected satellite data).
Averaged over T2[Dec 1989 - Nov 1990, Dec 1998 - Nov 1999]
- NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly sst
- Averaged over Y[90S, 90N]
root mean sq root mean sq $partialdiff sub T$ [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly sst anomalies ]- Averaged over T[16 Dec 1989 - 15 Jan 1990, 16 Oct 1999 - 15 Nov 1999]
root mean sq root mean sq root mean sq $partialdiff sub T$ [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly sst anomalies ]- Averaged over X[180W, 180]
- NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly sst
References
Reynolds_Smith1994Last updated: Mon, 12 Sep 2016 21:13:54 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units