Surface warming / ocean warming: «A reassessment of temperature variations and trends from global reanalyses and monthly surface climatological datasets» «Estimating changes in global temperature since the pre-industrial period» «Possible artifacts of data biases in the recent global surface warming hiatus» «Assessing the impact of satellite - based observations
in sea surface temperature trends»
Not exact matches
Several studies linked this to changes
in sea surface temperatures in the western Pacific and Indian Oceans, but it was not clear if this was part of a long - term
trend.
The results suggest that the impact of
sea ice seems critical for the Arctic
surface temperature changes, but the
temperature trend elsewhere seems rather due mainly to changes
in ocean
surface temperatures and atmospheric variability.
Trending increases
in certain environmental conditions that brew up these storms: increased
sea surface and upper ocean
temperatures and atmospheric instability.
Figure 4 - Spatial variability of the
sea surface temperature (SST)
trends scaled with the global
surface air
temperature (SAT)
trend for each simulation used
in the study.
Figure 1 -
Sea surface temperature trends scaled with global
surface air
temperature trends for half the climate models used
in the study.
(1) The warm
sea surface temperatures are not just some short - term anomaly but are part of a long - term observed warming
trend,
in which ocean
temperatures off the US east coast are warming faster than global average
temperatures.
Like almost all historical climate data, ship - board
sea surface temperatures (SST) were not collected with long term climate
trends in mind.
«The treatment of the buoy
sea -
surface temperature (SST) data was guaranteed to put a warming
trend in recent data.
According to the investigation: «There is a strong increasing
trend in sea surface temperature over the northern Indian Ocean during the 1952 - 96 time period» and «Soot was a sizeable fraction of the aerosol mix and caused substantial absorption of solar radiation.
The link between the NAO and the Gulf Stream seems to be confirmed, as there is a cooling
trend visible of the
sea surface temperatures in the stream over the past years.
A significant northward
trend (reduction of ice)
in the winter - maximum ice edge is apparent, however, and appears to be caused by the gradual warming of
sea -
surface temperatures in the region (paper available on this if you want it).
In particular, would anyone question that the observed trends in sea surface temperature in all basins can be attributed to anthropogenic global warmin
In particular, would anyone question that the observed
trends in sea surface temperature in all basins can be attributed to anthropogenic global warmin
in sea surface temperature in all basins can be attributed to anthropogenic global warmin
in all basins can be attributed to anthropogenic global warming?
One thing I would have liked to see
in the paper is a quantitative side - by - side comparison of
sea -
surface temperatures and upper ocean heat content; all the paper says is that only «a small amount of cooling is observed at the
surface, although much less than the cooling at depth» though they do report that it is consistent with 2 - yr cooling SST
trend — but again, no actual data analysis of the SST
trend is reported.
Here we analyze a series of climate model experiments along with observational data to show that the recent warming
trend in Atlantic
sea surface temperature and the corresponding trans - basin displacements of the main atmospheric pressure centers were key drivers of the observed Walker circulation intensification, eastern Pacific cooling, North American rainfall
trends and western Pacific
sea - level rise.
Re 9 wili — I know of a paper suggesting, as I recall, that enhanced «backradiation» (downward radiation reaching the
surface emitted by the air / clouds) contributed more to Arctic amplification specifically
in the cold part of the year (just to be clear, backradiation should generally increase with any warming (aside from greenhouse feedbacks) and more so with a warming due to an increase
in the greenhouse effect (including feedbacks like water vapor and, if positive, clouds, though regional changes
in water vapor and clouds can go against the global
trend); otherwise it was always my understanding that the albedo feedback was key (while
sea ice decreases so far have been more a summer phenomenon (when it would be warmer to begin with), the heat capacity of the
sea prevents much
temperature response, but there is a greater build up of heat from the albedo feedback, and this is released
in the cold part of the year when ice forms later or would have formed or would have been thicker; the seasonal effect of reduced winter snow cover decreasing at those latitudes which still recieve sunlight
in the winter would not be so delayed).
Sea surface temperatures in the Western Pacific are well above climatology, and it has been argued that the warmth
in the Western Pacific along with the lack of an equivalent long - term warming
trend in the Eastern Pacific, increase the chances of a «super El Niño,» comparable to the two strongest El Niños of the past century, which occurred
in 1998 and 1983.
Here we show that the hemispheric differences
in temperature trends in the middle of the twentieth century stem largely from a rapid drop
in Northern Hemisphere
sea surface temperatures of about 0.3 6C between about 1968 and 1972.
Don Keiller — as others have pointed out, that paper doesn't attempt to address the issue of the recent increase
in Atlantic hurricane intensity, or the ongoing increasing
trend of increasing
sea surface temperatures and atmospheric moisture content.
Canadian Ice Service, 4.7, Multiple Methods As with CIS contributions
in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter arctic ice thicknesses and extents, as well as an examination of
Surface Air
Temperature (SAT),
Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predicto
Sea Level Pressure (SLP) and vector wind anomaly patterns and
trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and
sea ice predicto
sea ice predictors.
«
In regards to sea surface temperature, scientists have shown that across the board, data collected from buoys are cooler than ship - based data,» one of the study's co-authors wrote, adding, «Scientists have developed a method to correct the difference between ship and buoy measurements, and we are using this in our trend analysis.&raqu
In regards to
sea surface temperature, scientists have shown that across the board, data collected from buoys are cooler than ship - based data,» one of the study's co-authors wrote, adding, «Scientists have developed a method to correct the difference between ship and buoy measurements, and we are using this
in our trend analysis.&raqu
in our
trend analysis.»
Investigators outside NOAA are finding interesting
trends and showing that they seem to be correlated with
trends in such variables as SST [
Sea Surface Temperature]
in key regions, the changes of which almost certainly are due to human - induced changes
in the climate, though having enough data to get all the statistics right is often problematic.
In summary, the historical [Sea Surface Temperature] record... may well contain instrumental bias effects that render the data of questionable value in determining long period trends in ocean surface temperatures... Investigators that use the data [to try this] bear a heavy, perhaps impossible, responsibility for ensuring that the potential instrument bias has not contaminated their result
In summary, the historical [
Sea Surface Temperature] record... may well contain instrumental bias effects that render the data of questionable value in determining long period trends in ocean surface temperatures... Investigators that use the data [to try this] bear a heavy, perhaps impossible, responsibility for ensuring that the potential instrument bias has not contaminated their r
Surface Temperature] record... may well contain instrumental bias effects that render the data of questionable value
in determining long period trends in ocean surface temperatures... Investigators that use the data [to try this] bear a heavy, perhaps impossible, responsibility for ensuring that the potential instrument bias has not contaminated their result
in determining long period
trends in ocean surface temperatures... Investigators that use the data [to try this] bear a heavy, perhaps impossible, responsibility for ensuring that the potential instrument bias has not contaminated their result
in ocean
surface temperatures... Investigators that use the data [to try this] bear a heavy, perhaps impossible, responsibility for ensuring that the potential instrument bias has not contaminated their r
surface temperatures... Investigators that use the data [to try this] bear a heavy, perhaps impossible, responsibility for ensuring that the potential instrument bias has not contaminated their results.
For this reason, a number of researchers have suggested that it should be possible to estimate the long term
Sea Surface Temperature trends for a given area by averaging together all the available measurements from different voyages that went through that area
in a given month.
When sceptics look at statistical data, whether it is recent ice melt, deep
sea temperatures, current
trend in global
surface temperatures, troposphere
temperatures, ice core records etc. they look at the data as it is without any pre-conceptions and describe what it says.
A survey of
trends in dispersed and concentrated
sea ice extent
in the Arctic
in the northern summer and northern winter and
in the Antarctic
in the southern summer and southern winter for the period 1979 - 2015 shows a negative
trend in dispersed and concentrated
sea ice extent
in the Arctic
in the northern summer amid rising
surface temperature in the northern hemisphere.
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.
Combine the satellite
trend with the
surface observations and the umpteen non-
temperature based records that reflect
temperature change (from glaciers to phenology to lake freeze dates to snow - cover extent
in spring & fall to
sea level rise to stratospheric temps) and the evidence for recent gradual warming is, well, unequivocal.
James Risbey and I published a paper last Sunday with colleagues that used a set of maps
in one of the figures to show the modeled and observed decadal
trends (Kelvin / decade) of
Sea Surface Temperature (SST).
The rising
trend of increasing CO2 content
in atmosphere can not be explained by these tropical
sea surface temperatures.
Uncertainties of estimated
trends in global - and regional - average
sea -
surface temperature due to bias adjustments since the Second World War are found to be larger than uncertainties arising from the choice of analysis technique, indicating that this is an important source of uncertainty
in analyses of historical
sea -
surface temperatures.
To further quantify this effect, whether or not my reasoning is objected too, then at the very least, a correlation over the period of the air
temperature trend needs to be carried out against
surface sea temperature anomalies
in both the Northern Atlantic and N Pacific.
That is, the animation of the GISS maps and the data GISS provides with those maps show that the
trends in global
sea surface temperature are driven by the multidecadal variations
in the strengths and magnitudes of El Niño and La Niña events.
Canadian Ice Service; 5.0; Statistical As with Canadian Ice Service (CIS) contributions
in June 2009 and June 2010, the 2011 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic Multi-Year Ice (MYI) extents, as well as an examination of
Surface Air
Temperature (SAT),
Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere, and sea ice predicto
Sea Level Pressure (SLP) and vector wind anomaly patterns and
trends; 2) an experimental Optimal Filtering Based (OFB) Model which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere, and
sea ice predicto
sea ice predictors.
Thirty years is far too short to encompass a cycle for the Arctic
sea ice where the major cycle is at least 70 years — the best cycle context for this I have found is represented
in the State of the Arctic Report or the work of Igor Polyarkov at IARC Fairbanks — looking at
Surface Air
Temperature trends for the whole Arctic — 60 - 90N, for the century you can see two peaks
in 1940 and 2005 with a trough
in the mid-80s (if anyone can tell me how to copy
in a jpg I could put one
in here!).
I'm inclined to think that Ocean Heat Content,
trends in land ice and
Sea levels are more appropriate indicators of global climate change than
surface air
temperatures, but that's another issue.
The underlying
trend is a function both of our rate of emissions and of the partial pressure of CO2
in the atmosphere (and of
sea surface temperature, but this varies very slowly).
-LSB-[«Trying to get a little more quantitative, I went to woodfortrees to check out the
trend for something similar —
in this case the HADSST2 global
sea surface temperature anomaly data.
Concerning decadal changing
trends of CO2 content
in atmosphere I have expressed that they are caused by changing
temperatures of
sea surface water on the seasurface areas where seasurface CO2 sinks are.
«Causes of differences
in model and satellite tropospheric warming rates» «Comparing tropospheric warming
in climate models and satellite data» «Robust comparison of climate models with observations using blended land air and ocean
sea surface temperatures» «Coverage bias
in the HadCRUT4
temperature series and its impact on recent
temperature trends» «Reconciling warming
trends» «Natural variability, radiative forcing and climate response
in the recent hiatus reconciled» «Reconciling controversies about the «global warming hiatus»»
And so we can expect these
trends [
in sea surface temperature increases and marine heat waves] to continue, regardless of what we do, at least for the near future.»
And while many factors shape
sea surface temperatures in a given place, the overall
trend — directly linked to climate change — is toward hotter oceans.
Nonetheless, an upward
trend in Atlantic and West Pacific tropical cyclone power dissipation
in the past few decades — based on the frequency, duration, and intensity of observed storms — is well correlated with increases
in sea surface temperature [16].
By using the
Sea Surface Temperature anomalies instead of the PDO, Stevenson et al could then have shown that the negative trends of the SST anomalies before and after the 1976 Pacific Climate Shift...... and how they related to the negative trends in Alaskan surface temperatures before and afte
Surface Temperature anomalies instead of the PDO, Stevenson et al could then have shown that the negative
trends of the SST anomalies before and after the 1976 Pacific Climate Shift...... and how they related to the negative
trends in Alaskan
surface temperatures before and afte
surface temperatures before and after 1976.
The observed
sea surface temperature in the Southern Ocean shows a substantial warming
trend for the second half of the 20th century.
UC Berkeley scientists calculated average ocean
temperatures from 1999 to 2015, separately using ocean buoys and satellite data, and confirmed the uninterrupted warming
trend reported by NOAA
in 2015, based on that organization's recalibration of
sea surface temperature recordings from ships and buoys.
These
trends in extreme weather events are accompanied by longer - term changes as well, including
surface and ocean
temperature increase over recent decades, snow and ice cover decrease and
sea level rise.
This
trend is closely linked to rises
in the average
temperatures of the
sea surface.
To say nothing of the warming
trends also noticed
in, for example: * ocean heat content * wasting glaciers * Greenland and West Antarctic ice sheet mass loss *
sea level rise due to all of the above *
sea surface temperatures * borehole
temperatures * troposphere warming (with stratosphere cooling) * Arctic
sea ice reductions
in volume and extent * permafrost thawing * ecosystem shifts involving plants, animals and insects
Finally, atmospheric model simulations with prescribed
sea surface temperatures (SSTs) illuminate the role of SST
trends in forcing the observed circulation
trends.