If you are trying to attribute
warming over a short period, e.g. since 1980, detection requires that you explicitly consider the phasing of multidecadal natural internal variability during that period (e.g. AMO, PDO), not just the spectra over a long time period.
Not exact matches
Bowen and colleagues report that carbonate or limestone nodules in Wyoming sediment cores show the global
warming episode 55.5 million to 55.3 million years ago involved the average annual release of a minimum of 0.9 petagrams (1.98 trillion pounds) of carbon to the atmosphere, and probably much more
over shorter periods.
But the study looked at departures from average conditions
over shorter time
periods, and may not be a good indicator of how people will respond to sustained
warming.
Over the past two million years, Earth has experienced long glacial
periods separated by
short,
warmer intervals known as interglacials.
The noisy signal means that
over a
short period, the uncertainty of the
warming trend is almost as large as the actual trend.
Ocean temperatures experience interannual variability and
over the past 3 decades of global
warming have had several
short periods of cooling.
This can be followed by
short periods of running
over low jumps to maintain the benefits of the
warm - up until it's show time.
GHG continue to increase in amounts in the atmosphere and as such,
over time more
warming inevitably continues though there may be breaks for
short periods, and some cooling, as already discussed at great length regarding aerosols.
The planet may have been
warmer recently, but the rate of increase, particularly
over the last 10 - 20 years) has occurred so rapidly
over such a
short time
period — this is what is not normal.
My question was, would not ~ 3.3 K sensitivity indicate that
over that
short period (27 years), CO2
warming exceeded natural variation?
As presented below, the temperature record of each of these groups (available at the URLs given at the bottom of this message) shows the same features: (i) a
warming of about 0.9 °C (1.6 °F)
over the past 150 years and (ii) natural variability with both
short and long
periods.
Over short periods they certainly do that but over periods of few decades it's likely that the warming effect of CO2 is stron
Over short periods they certainly do that but
over periods of few decades it's likely that the warming effect of CO2 is stron
over periods of few decades it's likely that the
warming effect of CO2 is stronger.
While aggressive emissions cutbacks of
short - lived
warming agents could halve the
warming projected to 2050 and determined efforts to promote adaptation and enhance resilience could help reduce impact costs and damages, many regions will suffer greatly
over this
period.
You can cut that
warming up as you have done into
shorter periods during which there is no significant
warming, but even if you do that, you have concede as you did that
over the full
period there was
warming.
Temperatures fluctuate
over short periods, but this lack of new
warming is a surprise.
First, Happer mentions statistical significance, but global surface temperature trends are rarely if ever statistically significant (at a 95 % confidence level)
over periods as
short as a decade, even in the presence of an underlying long - term
warming trend, because of the natural variability and noise in the climate system.
Your comment on error bars
over short time
periods makes sense, but the UAH record would tell us that 21st century total
warming would be around 1C, if past trends continue (and that was the point I wanted to make).
This
warming rate varies maybe from 0.5 to 0.7 °C per century depending on the point you start the linear fit, but your 1.5 °C / century rate is surely a pure fallacy, derived from observations
over the specific [1970 — 2000]
warming period, that is too
short to be extrapolated to a full century.
A general acknowledgement that it has not
warmed significantly
over a
period of
over a decade, despite the fact that human CO2 emissions have continued unabated, but that this trend is too
short to be statistically significant.
Your «standstill» here is just the fact that one can't statistically detect a
warming trend in the mentioned temperature anomaly
over the
short time
period of the recent decade.
In recent decades, much research on these topics has raised the questions of «tipping points» and «system flips,» where feedbacks in the system compound to rapidly cause massive reorganization of global climate
over very
short periods of time — a truncation or reorganization of the thermohaline circulation or of food web structures, for instance, caused by the loss of sea ice or
warming ocean temperatures.
Using this kind of data in the calculation of the
warming indicator makes the indicator worse, i.e. more noisy and less accurate
over short or medium long
periods.
A number of recent studies have found a strong link between peak human - induced global
warming and cumulative carbon emissions from the start of the industrial revolution, while the link to emissions
over shorter periods or in the years 2020 or 2050 is generally weaker.
Trends
over short periods in noisy data are very noisy so that leads to huge errorbars on trend estimates and makes silly claims such as «global
warming stopped in 1997» blatant falsehoods.
I find this assertion interesting, as it is often claimed that natural variability can mask global
warming over short time
periods.
Despite this higher cumulative total, the green curve has a higher peak
warming than the yellow curve because its emissions are put into the atmosphere
over a
shorter time
period.
It doesn't matter whether some of this organic material is now being revealed because of
warming over a long
period of time or because of unprecedented warmth
over a
short period of time.
What will reveal a reliable trend in the
short - run will not be related to global
warming, but where a trend can only be discerned
over a much longer
period and with much greater uncertainty is going reflect global
warming.
And while the global
warming trend spans many decades, the longest cooling trend
over this
period is 10 years, which proves that each was caused by
short - term noise dampening the long - term trend.
The inclusion of the very
warm 1998 El Nino year at the end (or start) of either of those two
periods only has a significant effect on the trend
over the
shorter period.
In response to these facts, a global
warming devotee will chuckle and say «how silly to judge climate change
over such a
short period».
This time
period is too
short to signify a change in the
warming trend, as climate trends are measured
over periods of decades, not years.12, 29,30,31,32 Such decade - long slowdowns or even reversals in trend have occurred before in the global instrumental record (for example, 1900 - 1910 and 1940 - 1950; see Figure 2.2), including three decade - long
periods since 1970, each followed by a sharp temperature rise.33 Nonetheless, satellite and ocean observations indicate that the Earth - atmosphere climate system has continued to gain heat energy.34
«A reduction in the rate of
warming (not a pause) is a result of
short - term natural variability, ocean absorption of heat from the atmosphere, volcanic eruptions, a downward phase of the 11 - year solar cycle, and other impacts
over a
short time
period,» Cleugh says.
Similar to the remaining
warming trend in Foster and Rahmstorf (2011) after the
short - term noise was filtered out, Lean and Rind found a very steady human - caused global
warming trend from 1979 to 2005 (Figure 2d, green line), having contributed to more
warming than has been observed
over that
period.
When you base your robust disbelief of the link between recent prodigious crop failures and realized
warming on what you call the «relatively minor» global average mean anomaly you are demonstrating either less than full appreciation of what nine tenths of a degree could mean for regional weather
over shorter periods, or what such weather could mean for agriculture.
«The team emphasized that clouds are particularly sensitive to subtle differences in surface
warming patterns, and researchers must carefully account for such pattern effects when making inferences about cloud feedback and climate sensitivity from observations
over short time
periods.»
The sensitivity he then derives is projected back using the 0.8 deg C
warming over the 20th C. However, this is ludicrous — the sensitivity in the recent
period can't be more than say, 1 ppmv per 0.1 deg C. Projected back you would have say a 10 ppmv (max) change
over the 20th C. Paleo - climate constraints demonstrate that CC feedback even on really long time scales is not more than 100 ppmv / 6 deg C (i.e. 16 ppmv / deg C), and
over shorter time
periods (i.e. Frank et al, 2010) it is more like 10 ppmv / deg C. Salby's sensitivity appears to be 10 times too large.
You write, in reference to it: «his choice of ocean heat uptake is based on taking a
short term trend
over a
period in which the observed
warming is markedly lower than the longer - term multidecadal value.»
The data and the statistical analysis does not provide the evidence that the so called «pause», a time
period with a lower trend estimate than the longer - term trend estimate, was more than just a
short - term fluctuation around the median
warming trend, mostly due to
short - term unforced internal variability in the Earth system (and some contribution from decreasing solar activity and increased reflecting aerosols in the atmosphere, counteracting the increased greenhose gas forcing to some degree), like the «acceleration»
over the 16 - year
period from 1992 to 2007 (e.g., UAH trend: 0.296 + / - 0.213 (2 sigma) deg.
Then we are told that natural factors have masked AGW
over a recent
short time
period during which there was no observed
warming yet close to one - third of all human CO2 emissions since industrialization have occurred.
While we are hesitant to extrapolate from very
short data series (always a dubious procedure) it is entirely plausible that reduction in low cloud
over the
period could conservatively be estimated to have increased heating at Earth's surface by 5 - 10 Wm - 2, an amount more than sufficient to account for all the estimated
warming over the
period.
You can have a long
period of cold air at the surface with little turbulent mixing and little energy transfer, followed by a
short period of a
warm surface and lots of turbulence and energy transfer - ending with a time average of
warm over cold, but a time average of upward energy transfer.
Ocean temperatures experience interannual variability and
over the past 3 decades of global
warming have had several
short periods of cooling... Argo takes measurements in the top 2000 metres of the ocean.
And it's a straw man because the mainstream science has been quite clear that 16 years is too
short a
period to expect to see the
warming trend reliably
over the normal «noise» of natural variability.
Over a
shorter period, particularly one in which a natural cycle would have contributed to net
warming, confidence would necessarily be lower.