How can my average blue SST right in the middle of the SST's you show not qualitatively
represent SST???
Does the «PDO» in the referenced paleoclimatelogical paper
represent the SST of the North Pacific or the PDO as defined by JISAO?
This would seem to eliminate the possibility that they exclusively
represent SST measurement artifacts.
The PDO does not
represent SST in the North Pacific, just the pattern.
The state of the Indian Ocean dipole
representing the SST anomaly difference between the western and southeastern regions of the ocean is investigated using historical SST reconstructions from 1880 to 2004.
Note that the datasets show different quantities; in the sea ice zone the GISTEMP, M10 and CHAPMAN data represent air temperature (though CHAPMAN air temperatures are inferred from SST input data); north of the sea ice edge the M10 and CHAPMAN data represent air temperature while GISTEMP
represents SST; MSU represents tropospheric - average temperatures everywhere.
From this picture it is clear that my blue average FARILY
represents the SST.
Not exact matches
Spherical harmonics are the natural choice for
representing patterns on a sphere, but the oceans don't cover the whole of the sphere and the physical processes that govern changes in
SST might mean that harmonics aren't the most natural set of patterns for efficiently capturing that variability.
It should be noted that the adjustments presented here and their uncertainties
represent a rst attempt to produce an
SST data set that has been homogenized from 1850 to 2006.
Scaled NINO3.4
SST anomalies are overlaid on that curve to
represent the direct effects of ENSO on the eastern and central equatorial Pacific.
In the upper right - hand corner is a value that
represents the change in annual
SST anomalies over that time span.
The purple curve
represents the running 31 - year average of annual NINO3.4
SST anomalies, and it shows that, for example, at its peak in 1926, the frequency and magnitude of the El Niño events from 1911 to 1941 were far greater than the frequency and magnitude of La Niña events.
@TB The coastal temperatures — often from lighthouses, sometimes even on islands — are mostly
representing the MAT (Marine Air Temperature), not
SST.
Again, the peaks in the «GISS Multidecadal (31 - year span) Changes In Global
SST anomaly» data
represent the periods with the greatest linear trends, and, as shown in Figure 7, they lag the peaks of the multidecadal variations in NINO3.4
SST anomalies.
The scaled running total of NINO3.4
SST anomalies establishes the base curve and would
represent the integration of ENSO outside of the eastern and central equatorial Pacific.
Model error in
representing the impact of
SST anomalies on land is also possible.
Atlantic Multi-decadal Oscillation index from 1850 to 2005
represented by annual anomalies of
SST in the extratropical North Atlantic (30 — 65 ° N; top), and in a more muted fashion in the tropical Atlantic (10 ° N — 20 ° N)
SST anomalies (bottom).
These changes in tropical Pacific Ocean
SSTs over the past millennium have often been associated with internal variability of the ocean - atmosphere system [19,27,53,54] that may not be accurately
represented in current climate models.
Our study stresses the importance of those internal connections between tropical Pacific Ocean
SSTs, the ENSO system, and the American Southwest hydroclimatic conditions and supports the contention that: (1) internal variability of the ocean - atmosphere system may not be accurately
represented in current global climate models, and (2) enhanced variability as a result of these stochastic events should be further considered.
Current global climate models suggest that the water vapor feedback to global warming due to carbon dioxide increases is weak but these models do not fully resolve the tropopause or the cold point, nor do they completely
represent the QBO [Quasi Biennial Oscillation], deep convective transport and its linkages to
SSTs, or the impact of aerosol heating on water input to the stratosphere.
«At all sites and during warm as well as cold climatic intervals
SST values are well above 0 °C (i.e., ranging between about 5 and 12 °C), suggesting that the
SST data
represent more the summer situation with ice - free conditions.»
(Bottom) As above but for
SSTs averaged over the tropical Indian Ocean (10 ° S — 20 ° N, 50 ° E — 125 ° E; each tick mark
represents two standard deviations, or 0.36 °C).
«ENSO conditions are
represented by the Niño - 3.4
SST index in the east - central tropical Pacific.
«The sub-skin
SST (SSTsub - skin)
represents the temperature at the base of the thermal skin layer.
Tree rings have an inability to adequately
represent the conditions of the entire year, amongst other difficulties, whilst
SST's have their own considerable shortcomings.
These anomaly patterns
represent the effect of the anthropogenic forcing on the
SSTs.
CMIS
represented the state of the art in satellite microwave radiometers and was intended to continue, with a higher degree of accuracy and resolution, the time series of many fundamental climate variables, including
SST and wind, sea ice and snow coverage, soil moisture, and atmospheric moisture (vapor, clouds, and rain).
These data
represent ocean skin temperature (Section 3.2.2.3), not air temperature or
SST, and so must be adjusted to match the latter.
@article > The satellite data
represents both land and ocean temperatures — and > yet they resemble only the
SST's.