Michael J. Ring’s research while affiliated with University of Illinois, Urbana-Champaign and other places

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Publications (11)


Figure 1. The left-hand panel shows the concentrations of carbon dioxide (CO 2 , in parts per million), methane (CH 4 , in parts per billion) and nitrous oxide (N 2 O, in parts per billion) over the past 10,000 years (the Holocene epoch, following the last ice age), as well as the concentrations of these greenhouse gases over the period of the industrial revolution beginning in 1750 (insets). This panel also shows the radiative forcing of these greenhouse gases-the change in the net incoming radiation at the top of Earth's atmosphere, in Watts per meter squared (Wm-2 ) [3] (Figure SPM 1). The right-hand panel shows the population of human beings during the Holocene from Figure 9 of the 1991 paper by Joseph A. McFalls Jr., "Population: A Lively Introduction" [4].
Figure 2. The annual carbon dioxide emission rate, Ċ, in billions of tonnes of carbon per year, for the highest (A2) and lowest (B1) end members of the SRES scenarios. SRES data from the SRES archive at http://sres.ciesin.org/final_data.html.
Figure 3. The four quantities of the Kaya identity for the highest (A2) and lowest (B1) end members of the SRES scenarios: (a) population, N, in billions of human beings; (b) wealth per person (GWP/N), where GWP = Gross World Productivity, in thousands of 1990 US dollars (10 3 1990$) per person; (c) energy intensity (E/GWP), where E is energy in 10 18 Joules (EJ), in MJ/1990$; (d) carbon intensity (Ċ/E) in MtC/yr/EJ. SRES data from the SRES archive at http://sres.ciesin.org/final_data.html.
Figure 4. The annual carbon dioxide emission rate, Ċ, in billions of tonnes of carbon per year, for the modified A2 scenario = the A2 scenario for (GWP/N), (E/GWP) and (Ċ/E) and the B1 scenario for N. The annual carbon emission rates for the A2 and B1 scenarios are shown for comparison. SRES data from the SRES archive at http://sres.ciesin.org/final_data.html.
Figure 5. The annual carbon dioxide emission rate, in billions of tonnes of carbon per year, for the Reference (RCP-8.5) scenario (red line) and for the Fair Plan to Safeguard Earth's Climate (green line). The historical CO 2 emission rate is shown by the black line.

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Fair Plan 8: Earth’s Climate Future—Pope Francis’ Population Mistake
  • Article
  • Full-text available

January 2016

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131 Reads

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2 Citations

Atmospheric and Climate Sciences

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Michael Ring

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Emily F. Cross
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Fair Plan 6: Quo Vadis the 80%-Emission-Reduction-By-2050 Plan?

January 2015

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78 Reads

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3 Citations

Atmospheric and Climate Sciences

In our Fair Plan 5 paper, we compared the CO2 emissions of the 80%-Emission-Reduction-By-2050 (80/50) Plan with the CO2 emissions of our Fair Plan to Safeguard Earth’s Climate. We found that the 80/50 Plan reduced CO2 emissions more rapidly than necessary to achieve the principal objective of the Fair Plan: to keep Global Warming (GW) within the 2˚C (3.6˚F) limit adopted by the UN Framework Convention on Climate Change (UNFCCC) “to prevent dangerous anthropogenic interference with the climate system”. Here, we ask the “What If” question: “What would the GW of the 80/50 Plan be post 2100 if its CO2 emissions post 2100 were kept at their 2100 value?” We find that although the GW of the 80/50 Plan decreases slightly over part of the 21st century, it does not remain constant thereafter. Rather, the GW of the 80/50 Plan begins to increase in 2088, exceeds that of the Fair Plan beginning in 2230, exceeds the 2˚C (3.6˚F) limit of the UNFCCC in 2596, and ends the millennium at 2.7˚C (4.8˚F). Thus, not only does the 80/50 Plan phase out humanity’s CO2 emissions faster than necessary to fulfill the UNFCCC constraint, it also fails that constraint if its CO2 emissions post 2100 are kept at their 2100 value. Accordingly, we believe that the Fair Plan to Safeguard Earth’s Climate is superior to the 80/50 Plan.





Figure 1. (a) The observed global-mean near-surface temperature departures from the 1961-1990 average; (b) As in (a), but with the 21-year Simple Moving Average shown by the blue line; (c) As in (a), but with a 61-year Simple Moving Average hown by the purple line; (d) As in (c), but with the SSA trend shown by the red line. s 
Figure 2. (a) The detrended observed global-mean near-surface temperature departures from the 1961-1990 average; (b) As in (a), but with a 21-year Simple Moving Average shown by the blue line; (c) As in (b), but with QPO-1 shown by the red line; (d) QPO-1 shown by the red line and its fit by y(t) = C + A sin [2π(t-1850)/P-φ ], with C, A, P and φ shown in Table 1, hown by the black line. s 
Figure 3. (a) The detrended observed temperature departures minus QPO-1; (b) As in (a), but with an 11-year Simple Moving Average shown by the blue line; (c) The 11-year Simple Moving Average shown by the blue line and QPO-2 shown by the red line; (d) QPO-2 shown by the red line and its fit by y(t) = C + A sin [2π(t-1850)/P-φ ], with C, A, P and φ shown in Table 1, shown by the black line. 
Figure 4. (a) The detrended observed temperature departures minus QPO-1 and QPO-2; (b) As in (a), but with a 3-year Simple Moving Average shown by the blue line; (c) The 3-year Simple Moving Average shown by the blue line and QPO-3 shown by the red line; (d) QPO-3 shown by the red line and its fit by y(t) = C + A sin [2π(t-1850)/P-φ ], with C, A, P and φ shown in Table 1, shown by the black line. 
Figure 5 of 5
A Simple Deconstruction of the HadCRU Global-Mean Near-Surface Temperature Observations

January 2013

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70 Reads

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3 Citations

Atmospheric and Climate Sciences

Previously we have used Singular Spectrum Analysis (SSA) to deconstruct the global-mean near-surface temperature observations of the Hadley Centre—Climate Research Unit that extend from 1850 through 2012. While SSA is a very powerful tool, it is rather like a statistical “black box” that gives little intuition about its results. Accordingly, here we use the simplest statistical tool to provide such intuition, the Simple Moving Average (SMA). Firstly we use a 21-year SMA. This reveals a nonlinear trend and an oscillation of about 60 years' length. Secondly we use a 61-year SMA on the raw observations. This yields a nonlinear trend. We subtract this trend from the raw observations and apply a 21-year SMA. This yields a Quasi-periodic Oscillation (QPO) with a period and amplitude of about 62.4 years and 0.11°C. This is the QPO we discovered in our 1994 Nature paper, which has come to be called the Atlantic Multidecadal Oscillation. We then subtract QPO-1 from the detrended observations and apply an 11-year SMA. This yields QPO-2 with a period and amplitude of about 21.0 years and 0.04°C. We subtract QPO-2 from the detrended observations minus QPO-1 and apply a 3-year SMA. This yields QPO-3 with a period and amplitude of about 9.1 years and 0.03°C. QPOs 1, 2 and 3 are sufficiently regular in period and amplitude that we fit them by sine waves, thereby yielding the above periods and amplitudes. We then subtract QPO-3 from the detrended observations minus QPOs 1 and 2. The result is too irregular in period and amplitude to be fit by a sine wave. Accordingly we represent this unpredictable part of the temperature observations by a Gaussian probability distribution (GPD) with a mean of zero and standard deviation of 0.08°C. The sum of QPOs 1, 2 and 3 plus the GPD can be used to project the natural variability of the global-mean near-surface temperature to add to, and be compared with, the continuing temperature trend caused predominantly by humanity’s continuing combustion of fossil fuels.




A Fair Plan to Safeguard Earth's Climate

January 2012

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57 Reads

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8 Citations

Journal of Environmental Protection

A maximum global-mean warming of 2˚C above preindustrial temperatures has been adopted by the United Nations Framework Convention on Climate Change to "prevent dangerous anthropogenic interference with the climate system". Attempts to find agreements on emissions reductions have proved highly intractable because industrialized countries are responsible for most of the historical emissions, while developing countries will produce most of the future emissions. Here we present a Fair Plan for reducing global greenhouse-gas emissions. Under the Plan, all countries begin mitiga-tion in 2015 and reduce greenhouse-gas emissions to zero in 2065. Developing countries are required to follow a miti-gation trajectory that is less aggressive in the early years of the Plan than the mitigation trajectory for developed coun-tries. The trajectories are chosen such that the cumulative emissions of the Kyoto Protocol's Annex B (developed) and non-Annex B (developing) countries are equal. Under this Fair Plan the global-mean warming above preindustrial tem-peratures is held below 2˚C.


Citations (11)


... [8] [9] [10][11] [13][14] ...

Reference:

Fair Plan 10: Post-Trump Global-Warming Mitigation
Fair Plan 8: Earth’s Climate Future—Pope Francis’ Population Mistake

Atmospheric and Climate Sciences

... However, several studies (e.g. [18,19]) find a~60-year oscillation in GMSTs after detrending the effects of increasing atmospheric concentrations of anthropogenic greenhouse gases. Klyashtorin [20] associated a~60-year oscillation found in the atmospheric circulation index (ACI) with alternating~30-year zonal and meridional regime "epochs." ...

A Simple Deconstruction of the HadCRU Global-Mean Near-Surface Temperature Observations

Atmospheric and Climate Sciences

... We have shown that the short historical temperature record alone produces fairly uncertain estimates of the sensitivity parameter, λ A in model (4) (Fig. 4, Table 1), and therefore longer-term temperature trends (Fig. 5). We now examine how these uncertainties decrease as the temperature record increases (as in, e.g., Kelly and Kolstad, 1999;Ring and Schlesinger, 2012;Padilla et al., 2011;Urban et al., 2014;Myhre et al., 2015). To do this, we artificially extend the temperature record by generating new synthetic time series using the mean and noise models estimated from the historical data and forcings from the same RCP8.5 scenario described above. ...

Bayesian Learning of Climate Sensitivity I: Synthetic Observations

Atmospheric and Climate Sciences

... Chapter 5 goes into further detail regarding how the legal contours of current international trade regimes must change to accord more coherently with a transition to a mutually enhancing human-Earth relationship. Notes 1 558 U.S. 310 (2010). 2 A less conservative estimate is 1,000 GtC of cumulative emissions (Schlesinger et al. 2012). Precaution favors using 500 GtC. ...

A Revised Fair Plan to Safeguard Earth’s Climate

Journal of Environmental Protection

... In our five earlier Fair Plan papers, FP1 -FP5 [1]- [5], we have taken the Reference Concentration Plan 8.5 (RCP-8.5) greenhouse gas (GHG) emission scenario [6] as our Reference case, which is the way the world would likely emit GHGs if either there were no consequent climate change or if we were completely ignorant thereof. ...

Fair Plan 4: Safeguarding the Climate of “This Island Earth”

Atmospheric and Climate Sciences

... Global climate warming is a result of both natural factors, mainly solar activity, and human activities, primarily greenhouse gas emissions [1], which exerts a profound impact was proven to be effective in monitoring the impact of climate change on the goji berry and its pests. ...

Causes of the Global Warming Observed since the 19th Century

Atmospheric and Climate Sciences