What, Again? Sea Level Will Continue Rising for Centuries

Summary: This series of three posts tabulates important findings from the six Assessment Reports (ARs) that the United Nations Intergovernmental Panel on Climate Change (IPCC) has released since 1990.  The first post, “What, Again? Greenhouse Gases Accumulate in the Atmosphere, presents past greenhouse gas (GHG) emission rates and future emission scenarios in the ARs, and presents principles in the ARs to keep accumulated GHG levels to as low a level as possible.

The second post, “What, Again? Global Warming Continues Unabated” summarizes the effects of higher GHGs on past and future projected global temperatures, and reiterates the need conveyed in the ARs to constrain GHG emissions by decarbonizing the energy economy. 

This third post reviews specifically the effects of warming on our water environment: melting ice domains and rising seas, and extremes of precipitation or droughts. The six ARs warn humanity to bring future GHG emissions to near zero; but sea level rise (SLR) is distinguished because melting of ice has passed a threshold of irreversibility: SLR will continue for centuries or longer.

Some may feel this series repeats refrains, looping like broken records; such people may suffer from “climate fatigue”.  Humanity, however, has not responded to the worsening climate documented in the AR series. The critical, dire climate projections summarized in these posts provide powerful incentives finally to take meaningful action at this time.

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The United Nations Intergovernmental Panel on Climate Change (IPCC) released the first of the three parts of its Sixth Assessment Report (AR6) in August 2021.  ARs have been issued at intervals of 6-7 years since 1990. They document the history of the annual rate of global emissions of the principal GHGs, arising from human activity, and of the total amount of GHGs accumulated in the atmosphere since the industrial revolution began.  Using climate models and a range of scenarios of GHG emission rates from relaxed to stringent they present projections for each scenario of future climate characteristics and effects to the end of this century.  They also discuss general goals (but not specific actions) for limiting future emission rates.

The results and projections presented in ARs 1-6 are broadly consistent with each other across the AR series, but have greater specificity and stronger assessments of likelihood as the series progresses.  All the ARs have stated the need to limit further accumulation of GHGs in the atmosphere in order to minimize the effects of global warming on Earth’s climate.  The faster that emission rates are reduced toward zero, the lower will be the total accumulation of GHGs in the atmosphere.  The cartoon below of two cars traveling down the GHG highway captures this message.

Two cars travelled down the GHG Highway.  Each applied brakes at the same point. On the red trip the brakes were applied gently (a metaphor for moderate GHG mitigation measures), so the car travelled far down the highway before stopping, leading to more GHG emissions accumulating in the atmosphere. (Stopping is a metaphor for ceasing to emit any more GHGs.) On the green trip the brakes were applied hard (a metaphor for intensive, aggressive mitigation measures), so the car traveled only a short distance down the highway before stopping, leading to less accumulated GHG emissions.

 

The topics selected for this post, tabulated below in the Details section, are Past Sea Level Rise (SLR) and precipitation (column 2), Projected Sea Level Rise and precipitation (column 3), and Recommended Actions (column 4).  Column 2 in the table documents the greater severity (and the greater detail of the data) of melting of glaciers and ice sheets feeding SLR, as well as extreme precipitation events in the later ARs, across the 30 years that the ARs have been issued. Column 3 details projections for future SLR, which are projected to continue for centuries or millennia regardless of mitigation measures that may be applied in the future.  SLR has two contributions (first mentioned in column 3 of the table for the AR2 entry), the expansion of water of the oceans as its temperature rises, and addition of new water to the oceans as glaciers and ice sheets continue to melt. 

The second factor, melting of ice, has reached the stage of being irreversible because the Earth has warmed sufficiently.  A model for melting glaciers or ice sheets is presented in the graphic below:

The melting point of ice is 0°C.  At or below this temperature an ice cube in your refrigerator is stable, and does not melt.  Even a little above this melting point, say at 1°C, the ice cube begins to melt slowly and forms a small puddle as shown.  At 2°C the model shows even more melting, yielding a smaller ice cube and a larger puddle.  Now suppose the refrigerator cools back down to less than 0°C.  The water in the puddles is not magically restored to the remaining mass of the ice cube, but freezes in place.

 

Extending the above model and its description to nature, the melted water flows away and ultimately drains into the ocean.  The glacier or ice sheet will be restored only if the year-round average temperature is less than 0°C and there is new precipitation as ice or snow.  But enough GHGs have already entered Earth’s atmosphere to warm the air over glaciers and ice sheets, tilting the balance toward net melting, assessed year-round.  This is why climate projections in column 3 of the table below foresee continued SLR for hundreds or thousands of years even if a way is ultimately found to remove accumulated GHGs from the atmosphere. For melting ice sheets and glaciers the “tipping point” has already been reached, and is irreversible on time scales of interest to humans.

The Recommended Actions summarized in column 4 of the table emphasize the need for significant lowering of the rate of emissions of GHGs, coupled with adaptation measures to address aspects of warming that cannot be remedied by mitigation.  This need was presented already in AR1 (1990), saying that immediate 60% reductions in emission rates …would stabilize atmospheric GHGs at the then current level.  In one way or another analogous remedies were presented in the succeeding ARs.  By AR6 (2021) the table’s summary urges substantial emissions reductions over the next few decades to reduce longer term climate risks.  Even so the AR warns with high confidence that warming by 2100 will lead to a high risk of severe, widespread and irreversible impacts, including flooding, droughts and continued SLR.

Whereas the need to reduce emissions was expressed as early as AR1 and extends up to the present in AR6, the strength of climate science underpinning those conclusions has increased dramatically over time.  The capabilities of gathering data and using more powerful computers to analyze them, and to develop more refined, detailed climate models have all increased dramatically.  (Incidentally the Nobel Prize in Physics, awarded October 5, 2021, recognized the development of early climate models.  These have served as the foundation for today’s highly refined models.)

Recent ARs reflect this enhancement in data gathering and climate modeling.  For example  the current first part of AR6 was compiled by 234 climate scientists chosen from the nations of the IPCC.  They reviewed over 14,000 research articles published since AR5.  Drafts of the chapters in AR6 were reviewed by other scientists as well as by national governments and revised accordingly.  We can feel assured that the final text represents scientific and political consensus views.

Conclusion

Column 4, “Recommended Actions” in the table shown in the Details section summarizes the increasing urgency of acting to reduce annual emission rates to near zero as the AR series progresses.

Indeed, actual extreme weather and climate events have become the subjects of frequent current headlines, documenting actual heat waves and droughts, famine, uncontrolled wildfires, intense precipitation events and flooding, and melting of glaciers and ice sheets leading to sea level rise, effects that were only predicted in the early ARs.  Also, by AR6 the science of attribution of extreme climate events has progressed dramatically, and permits ascribing the severity, if not the actual occurrence or not, of events to the effects of human-induced global warming.

Early action such as recommended in earlier ARs could have been taken at moderate levels of effort and expense (“Gentle Braking” in the first graphic above) to avert future, if not yet apparent, climate hazards.  But policymakers around the globe did not seize these opportunities to anywhere near the needed extent.  By 2021 such extreme events are now current, requiring immediate action.  Necessarily these current actions must be far more aggressive, pervasive and costly (“Hard Braking” in the graphic) in order to deal with a warming Earth approaching criticality.  They also require fundamental and comprehensive changes in social and cultural approaches to adapt to the consequences of warming.

Unequivocally we must encourage our political, corporate and civic leaders to embark on bold, comprehensive actions without further delay.

Details

This writer collated the entries in the following table from either the Summary for Policymakers, a “Headline” document or a press release, all issued by the IPCC in conjunction with each AR.  The entries are necessarily selective rather than comprehensive, and have been edited for brevity.

EVALUATIONS OF SEA LEVEL RISE AND PRECIPITATION IN IPCC ASSESSMENT REPORTS

© 2021 Henry Auer

Extreme Weather Events and Global Warming

Summary.   We are experiencing an increased perception of extreme weather events in recent years.  Here we discuss two new research papers confirming, by rigorous statistical analysis, that recent heat waves are unprecedented in history.  With a very high probability, these events are attributed to long-term global warming .  Extreme events such as heat waves and heavy precipitation inflict severe damages on affected communities and lead to emergency needs for relief and restitution.  As an alternative the nations of the world should undertake preventive investments that mitigate greenhouse gas emissions and reduce the need for future relief expenses.

Introduction.  There have been many news items describing various weather- or climate-related catastrophes, seemingly with increasing frequency and increasing severity, and having increasingly serious human and economic consequences.  Many of us readily suspect that the long-term increase in the global average temperature plays a role in these disasters, while others maintain that there is no connection.  This post summarizes recent scientific publications that conclude that the temperature increase causes at least a part of the extreme weather that leads to these catastrophes.

Carbon dioxide (CO₂) is the product obtained when humans burn fossil fuels for energy.  CO₂ is a greenhouse gas, meaning that its presence in the atmosphere traps heat produced by incident sunlight, preventing its release back into space.  Although CO₂ has been present in the atmosphere for millions of years, the amount added since the industrial revolution began has been steadily increasing, and continues to do so even at the present time.  This is because the worldwide use offossil fuels has been growing at an ever-increasing rate since the industrial revolution began.

Climate scientists over the past several decades have developed climate models to reproduce past global temperature trends and predict future trends.  Models correctly reflect the temperature increases of recent decades when the additional CO₂ from burning fossil fuels is included, but they fail to show the increases when this CO₂ is omitted.  With this success at reproducing past behavior, scientists use climate models to project future developments.  These predict increasing extremes of weather and climate, including generally higher temperatures, and higher likelihoods of heat waves and droughts, or of intense rainfall and floods, depending on geographic location on Earth.

Extreme Weather and Climate Events Have Been Increasing in Recent Years.

Two publications reviewed here, detailing extreme weather events, avoid reliance on climate models.  Rather, these publications analyze actual weather and climate data, and use rigorous statistical methods to develop their results and conclusions.

Hansen and Coworkers Find That Extreme Events are Due to Increased Global Temperatures.  James Hansen is a veteran climate scientist at the National Aeronautics and Space Administration’s Goddard Institute for Space Studies (GISS).  He and his colleagues published “Perceptionof climate change” online in the Proceedings of the [U.S.] National Academy of Sciences, on August 6, 2012.  (See Details at the end of this post.)

They divided the Earth’s surface into a grid and used recorded temperature data for each grid location from 1951 to 2011.  Their results show, for example, that many grid locations for years in the period 2006-2011 had average summer  temperatures that were 2-3ºC (3.6-5.4ºF) greater than the temperature that the same grid location had during 1951-1980, which the authors assigned as their base period.  (See Details)  Several locations had annual average temperatures that were even higher.

Using rigorous statistical analysis the authors further showed that, compared to the same base period, the temperature variation for each of the decades 1981-1990, 1991-2000, and 2001-2011, shifted successively to higher temperatures.  More and more grid locations had decadal average temperatures that were much higher than would be expected from the normal variability observed during the base period (see Details). 

Hansen and coworkers call this unprecedented finding “probably the most important change” from the base period, one characterizing a “new category of ‘extremely hot summers’”.  For example, the authors state there is a “high degree of confidence that events such as the extreme summer heat in [Russia] in 2010 and Texas in 2011 were a consequence of global warming”. Extreme summer heat can lead in some cases to severe droughts, and in other cases to excessive rainfall and flooding; these two led to droughts. 

The authors point out that specific weather events that some invoke as leading to global warming, such as blocking patterns and La Niña events, cannot be considered responsible for the observed warming trend of the last 3 decades.  These patterns have been occurring for a long time, not just in the recent past.  In contrast, the extreme warming, such as documented in their paper, has arisen only in conjunction with global warming.

Coumou and Rahmstorf Find That Extreme Weather Events Are Linked to Human Activity.  They published the Perspective, “A decade of weather extremes”, in Nature Climate Change, July 2012 (published online: 25 March 2012 | doi: 10.1038/nclimate1452).  They reviewed the work of others detailing extreme weather events occurring between 2000 and 2011 (see Details).   Several record-breaking events were singled out, detailing economic impacts and human costs.   While physical principles can help explain their occurrence, the authors rely on statistical analysis to identify true outliers among weather events.  For past events, this drives home that in the decade under consideration, extreme events have occurred with unprecedented frequency.  The number of new record hot days, analyzed on a monthly basis, is now more than three times that expected if the climate were not undergoing a long-term warming trend.  Climate models help substantiate this trend; they predict higher record temperatures because of “human influence on the climate”.

Extreme rainfall events are also increasing in recent years.  This too is understandable on a physical basis; warm air has the capacity to hold more water vapor than cool air (see this post).  This extra moisture is then available for precipitation should it condense out of the air.  The authors also discuss the important role that climate models play in understanding these events, and in helping attribute their origins to particular causes.

Importantly, the authors point out that “attribution is not a ‘yes or no’ issue as the media might prefer, it is an issue of probability.”  Based on their analyses they conclude “it is very likely that several of the unprecedented extremes of the past decade would not have occurred without [man-made] global warming….now…the evidence is strong that [man-made], unprecedented heat and rainfall extremes are here — and are causing intense human suffering.” 

The U. S. Is Experiencing Its Hottest Year-To-Date On Record.  The National Climatic Data Center of the U. S. National Oceanic and Atmospheric Administration reports (accessed Aug. 10, 2012) that July 2012 was the hottest month on record, since recordkeeping began in 1895.  The July average temperature was 3.3ºF (1.8ºC) above the average for that month.  In addition, the period January-July 2012 was the hottest year-to-date, and the previous 12 month period was the hottest for that window on record. 

The January-July 2012 period was also the twelfth driest recorded. As of early August 2012 “moderate to exceptional drought” conditions prevailed over 62.9% of the 48 contiguous states of the U. S.  Current news accounts relate that the drought conditions are already reducing U. S. agricultural crop yields.  It is expected as a result that global food prices are likely to be several percent higher than usual during this year and extending into 2013.

While these phenomena are consistent with expected trends arising from a long-term increase in the U. S. average temperature, it is too early for rigorous analysis to have been made for the events in 2012.

Analysis

The papers by Hansen and coworkers, and Coumou and Rahmstorf, examine recent extreme temperature and precipitation events.  Their results are highly significant, for each separately shows by statistical analysis of past temperature records that the differences of the observed temperatures from expected averages are so large that they would be extremely improbable in a climate that was not warming.  Rather, the occurrence of these extreme events is a hallmark of the warming of the planet.  The authors conclude that it is very highly probable that these events arise from that warming, perhaps added to effects of other, more short-term climate patterns (La Niña/El Niño, jet stream blocking patterns).  (These other effects have always been occurring, including during times that predate the rise in global average temperature.  In those times extreme events such as are now occurring did not arise.)

These papers complement two reports over a year ago that for the first time directly linked extremes of rainfall and flooding to the warming of the average global temperature as a result of greenhouse gas emissions (see this post).  Statistical analyses of rainfall and flooding were used to correlate observed rainfall patterns or flooding resulting from heavy rains to the predictions of several climate models.

Most CO₂, and certain other greenhouse gases, persist in the atmosphere for hundreds, or even a thousand years.  For this reason, within the 1-3 decade time frame under discussion for abating long-term warming of the planet, their concentration in the atmosphere can never be significantly reduced, but at best can only be held constant at today’s level or the higher level reached at some time in the future.  Even if all emissions were to cease right away, the CO₂ concentration would remain constant.  That is why the European Union’s Roadmap, to lower emissions by 80-95% by 2050, is so significant and praiseworthy.  Even so, however, new emissions from those nations will continue to accumulate, at lower and lower annual rates, so that concentrations by 2050 will still be higher than now because of continued emission during the intervening years.

The use of fossil fuels for energy around the world is projected to increase, not to level off or decrease, in the foreseeable future.  The U. S. Energy Information Agency projects worldwide energy usage from 2008 through 2035 will increase, reaching 53% higher in 2035 than in 2008.  Much of that increase will arise in China, India and other developing countries.  80% of the energy needs will still be furnished by burning fossil fuels.  Thus the annual rate of emitting CO₂ worldwide will be increasing significantly in coming decades, and the corresponding accumulated level of atmospheric CO₂ will be considerably higher than it is today.

This means that the occurrence of extreme weather events such as analyzed here will be more frequent and/or intense, and damages inflicted on humanity as a result (see the table in Details and this post, for example) will likewise be more severe.  The economic expenses of responding to weather-inflicted tragedies are borne by governments and their taxpayers, as well as by private insurers.  Any food shortages from droughts or floods will be felt worldwide as increased food prices. 

Dealing with the worsening increases in global average temperatures can be approximated as a zero-sum enterprise.  On the one hand, the governments of the world, and private corporations, can undertake investment as soon as possible to develop energy alternatives that contribute to lowering the rate of greenhouse gas emissions.  Those investments would have the beneficial effect of contributing to a reduction in extreme weather-related disasters and their resulting damages.  On the other hand, we can persist in business-as-usual, with the certainty that relief and restitution expenditures will continue increasing.  The choice is ours to make.

 

Details

 

Hansen and coworkers analyzed world-wide weather data accumulated at GISS.  On a globally based grid they determined average annual temperatures and standard deviations (SD values, measures of variability) of the annual temperatures for each grid position. 

  

(Standard deviation is a measure of variability observed in repeated measurements for a particular data item such as temperature; in this case the variability is over the time interval considered.  For a typical “bell shaped” curve expected for random variations of the data item, 1 SD on either side of the average value at the top of the “bell” contains 67% of all the measurements; 2 SDs on either side contains 97% of all the measurements; and 3 SDs contain 99.8% of all the measurements.)

Hansen and coworkers evaluated data sets covering 1951 to 2011.  They used the period 1951-1980 to establish baseline values for the averages and the SDs for each grid position against which differences that have arisen in more recent years were determined. 

Examples for one year from the base period, 1965, and the recent year 2010 are shown below.



 

Global grids in the years 1965 and 2010.  The maps show temperature differences from average values for each location determined over 1951-1980 in ºC for the months June through August.  Each grid location is color coded for the difference from the average for that location according to the color scale at the bottom (gray indicates locations with no data).

Source: Proceedings of the [U.S.] National Academy of Sciences; www.pnas.org/cgi/doi/10.1073/pnas.1205276109 

The map display for 1965, within the base period, shows that globally, temperature differences from local averages were both negative (cooler) and positive (warmer) compared to the averages.  The magnitudes of the differences, using the color scale for temperature in ºC, were relatively small.  On the other hand, many grid locations for years in the period 2006-2011 had average annual temperatures that were 2-3ºC (3.6-5.4ºF) greater than the temperature that the same grid location had in the base period of 1951-1980; and indeed several locations had annual average temperatures that were even more than 3ºC higher than those in the base period.  The global display for 2010, above, shows that extreme hot weather prevailed over a large part of Eurasian Russia, and relatively hot areas in portions of China and the southeastern U. S.  The corresponding map for 2011 (not shown here) clearly shows the extreme heat differences (greater than 3ºC) experienced in the south central portion of the U. S. in that year.  (In the 2006-2011 interval, there were relatively very few grid locations with temperatures below those of the base period in a given year, and the extent of the negative difference was much less than the positive differences just specified.)

The authors continued with a rigorous statistical analysis of the data they collated, shown below. 



Frequency distributions for each value of the variability (SD) found for successive ten-year global average temperatures.  These curves may be considered as highly compressed histograms showing the fractional occurrence for each value of SD.  (All curves sum to 1.000.)  The curve for a set of numbers that would be found from fully random valuations about the average (“bell-shaped curve”) is shown in black.  Any deviation from the bell-shaped curve shows the existence of a bias in the distribution of the values.  Decades in the base period are: crimson, 1951-1961; yellow, 1961-1971; and green, 1971-1981.  Decades showing warming are aqua, 1981-1991; dark blue, 1991-2001; and magenta, 2001-2011.

Source: Proceedings of the [U.S.] National Academy of Sciences; www.pnas.org/cgi/doi/10.1073/pnas.1205276109

Using the base period 1951-1981, they showed that ten-year distributions for the measure of variability, the standard deviation, closely followed the “bell-shaped curve” (black curve in the figure) expected for random, unbiased data sets for the three decades of the base period (as is expected).  But for each of the decades 1981-1991, 1991-2001, and 2001-2011, the variability distribution shifts more and more to higher (i.e. positive) standard deviation values as time passes.  This indicates that more and more grid locations had decadal average temperatures that were much higher than would be expected from the normal variability of the base period.  Whereas the base period had essentially no grid locations with temperatures that were 3 standard deviations above the average (the unbiased bell curve would have only 1 in 769 data points at that position), by the time of the most recent decade, about 10% (1 in 10 data points for land-based grid locations) had temperatures 3 standard deviations above the average, and many data points whose temperatures gave even 4 and 5 standard deviations above the averages of the base period (see the figure). 

Coumou and Rahmstorf reviewed extreme weather events during the decade of 2000 to 2011.  These included both high temperature events and heavy rainfall events, and their consequences.  Examples they chose for mention are shown in the following table. 

Year	Region	Meteorological record-breaking event	Impact, costs
2000	England and Wales	Wettest autumn on record83 since 1766.	£1.3 billion (ref. 27).
2002	Central Europe	Highest daily rainfall record in Germany42 since at least 1901.	Flooding of Prague and Dresden, US$15 billion (ref. 84).
2003	Europe	Hottest summer in at least 500 years30.	Death toll exceeding 70,000 (ref. 31).
2004	South Atlantic	First hurricane in the South Atlantic51 since 1970.	Three deaths, US$425 million damage85.
2005	North Atlantic	Record number of tropical storms, hurricanes and category 5 hurricanes52 since 1970.	Costliest US natural disaster, 1,836 deaths (Hurricane Katrina).
2007	Arabian Sea	Strongest tropical cyclone in the Arabian Sea53 since 1970.	Biggest natural disaster in the history of Oman53.
	England and Wales	May–July wettest since records began in 1766 (ref. 43).	Major flooding causing ~£3 billion damage.
	Southern Europe	Hottest summer on record in Greece33 since 1891.	Devastating wildfires.
2009	Victoria (Australia)	Heatwave breaking many station temperature records (32–154 years of data)34	Worst bushfires on record, 173 deaths, 3,500 houses destroyed34.
2010	Western Russia	Hottest summer since 1500 (ref. 69).	500 wildfires around Moscow, grain-harvest losses of 30%.
	Pakistan	Rainfall records44.	Worst flooding in Pakistan’s history, nearly 3,000 deaths, affected 20 million people6.
	Eastern Australia	Highest December rainfall recorded since 1900 (ref. 45).	Brisbane flooding in January 2011, costing 23 lives and an estimated US$2.55 billion86
2011	Southern United States	Most active tornado month on record (April)3  since 1950.	Tornado hit Joplin causing 116 deaths.
	Northeastern United States	January–October wettest on record1 since 1880.	Severe floods when Hurricane Irene hit.
	Texas, Oklahoma (United States)	Most extreme July heat and drought since 18802.	Wildfires burning 3 million acres (preliminary impact of US$6–8 billion).
	Western Europe	Hottest and driest spring on record in France1 since 1880.	French grain harvest down by 12%.
	Western Europe	Wettest summer on record (The Netherlands, Norway)1 since 1901.	Not yet documented.
	Japan	72-hour rainfall record (Nara Prefecture)1.	73 deaths, 20 missing, severe damage.
	Republic of Korea	Wettest summer on record1 since 1908.	Flooding of Seoul, 49 deaths, 77 missing, 125,000 affected

© 2012 Macmillan Publishers Limited

Source: Nature Climate Science doi: 10.1038/nclimate1452 

The causes of extreme weather events can be difficult to pin down.  Climate models are useful in projecting long-term and large scale trends across broad regions of the planet.  They are less adept at correlating local or regional  weather events such as these with large scale trends.  For this reason, the authors note, rigorous statistical analysis is helpful to identify that a particular event actually falls outside the realm of what would be expected if the climate were not changing due, for example, to the man-made greenhouse effect.

Statistical evaluation of extreme heat events shows that, considered globally, the number of monthly average temperature records occurring at present is as high as three times what would be expected if the climate were not changing to higher temperatures.  This is shown in the graphic below.

                © 2012 Macmillan Publishers Limited

              Source: Nature Climate Science doi: 10.1038/nclimate1452

It is seen that the ratio of the observed number of monthly average records to that expected in an unchanging climate begins to grow higher than the value of 1 as early as about 1920.  The ratio has grown to values in the range of 3.0 to 3.5 by 1990.

The table above also includes many extreme rainfall events and the floods that ensued from them.

Extremes will result not simply from the long-term trend of increasing average global temperatures.  Coumou and Rahmstorf point out, as do Hansen and coworkers, that the Pacific Ocean pattern of La Niña/El Niño/Southern Oscillation, as well as blocked jet stream patterns, affect shorter term climate and weather events.  They conclude that statistical analysis of past weather data, modeling of climate events, and reasoning based on physical principles all have a place in assessing the progress of global warming.  They find that heatwaves and precipitation extremes have already greatly increased and will continue to do so as the climate warms further.

Coumou and Rahmstorf include a graphic that originally appeared in a paper by Barriopedro, D. et al. (Science 332, 220–224 (2011)) dealing with the temperature extreme in Russia in 2010 (see the table) .  It shows that, over the 500 year period from 1500 to 2010, extremes of 10-year average temperatures exceeding the 95^th percentile expected from only random variability occurred only after 2000.  The extreme heat waves in Europe in 2003 and 2010 (see the table above), they write, are likely due partly to the long-term trend of increasing global temperatures (from the man-made greenhouse effect), and partly to “atmospheric dynamical processes” such as unusual weather pattern blocking effects.  They believe that such causes have to be considered additive, and not mutually exclusive, in understanding the causes of these extreme events.

© 2012 Henry Auer