The National Weather Service operates the «Oceanic Niño Index,» which essentially
measures sea surface temperature changes.
Not exact matches
The most important bias globally was the modification in
measured sea surface temperatures associated with the
change from ships throwing a bucket over the side, bringing some ocean water on deck, and putting a thermometer in it, to reading the thermometer in the engine coolant water intake.
The basic problem is that method for
measuring sea surface temperature has
changed over time and across different ships, and this needs to be corrected for.
Long term
changes in the way
sea surface temperatures are
measured also tend to introduce warming.
Sea surface temperature (SST)
measured from Earth Observation Satellites in considerable spatial detail and at high frequency, is increasingly required for use in the context of operational monitoring and forecasting of the ocean, for assimilation into coupled ocean - atmosphere model systems and for applications in short - term numerical weather prediction and longer term climate
change detection.
For example, let's say that evidence convinced me (in a way that I wasn't convinced previously) that all recent
changes in land
surface temperatures and
sea surface temperatures and atmospheric
temperatures and deep
sea temperatures and
sea ice extent and
sea ice volume and
sea ice density and moisture content in the air and cloud coverage and rainfall and
measures of extreme weather were all directly tied to internal natural variability, and that I can now see that as the result of a statistical modeling of the trends as associated with natural phenomena.
Tracking
sea surface temperature over a long period is arguably the most reliable way researchers know of
measuring the precise rate at which global
temperatures are increasing and improves the accuracy of our climate
change models and weather forecasts.
The most important bias globally was the modification in
measured sea surface temperatures associated with the
change from ships throwing a bucket over the side, bringing some ocean water on deck, and putting a thermometer in it, to reading the thermometer in the engine coolant water intake.
The other source of bias comes from a
change in the way
sea surface temperatures (SSTs) are
measured.
What he does not do, and should have done is plotted the
change in the effect over time against some emperical
measure of either
temperature or
surface heat content (either OHC directly for when we have the data, or glacial extents, or
sea levels).
See, the first thing to do is do determine what the
temperature trend during the recent thermometer period (1850 — 2011) actually is, and what patterns or trends represent «data» in those trends (what the earth's
temperature / climate really was during this period), and what represents random «noise» (day - to - day, year - to - random
changes in the «weather» that do NOT represent «climate
change»), and what represents experimental error in the plots (UHI increases in the
temperatures, thermometer loss and loss of USSR data, «metadata» «M» (minus) records getting skipped that inflate winter
temperatures, differences in
sea records from different
measuring techniques,
sea records vice land records, extrapolated land records over hundreds of km,
surface temperature errors from lousy stations and lousy maintenance of
surface records and stations, false and malicious time - of - observation bias
changes in the information.)
Additionally, such an observing system, by
measuring the temporal and spatial variability of the AMOC for approximately a decade, would provide essential ground truth to AMOC model estimates and would also yield insight into whether AMOC
changes or other atmospheric / oceanic variability have the dominant impact on interannual
sea surface temperature (SST) variability.
Using
measured amounts of GHGs during the past 800000 years of glacial — interglacial climate oscillations and
surface albedo inferred from
sea - level data, we show that a single empirical «fast - feedback» climate sensitivity can account well for the global
temperature change over that range of climate states.
The
measured change in outgoing radiation per unit
change in global mean
sea -
surface temperature is seven times greater than the UN's models predict.