An Inconvenient Present & Future
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Let Me Just Add That While the Piece in Newsweek Is Extremely Annoying
From: Michael Oppenheimer To: Eric Steig; Stephen H Schneider Cc: Gabi Hegerl; Mark B Boslough; [email protected]; Thomas Crowley; Dr. Krishna AchutaRao; Myles Allen; Natalia Andronova; Tim C Atkinson; Rick Anthes; Caspar Ammann; David C. Bader; Tim Barnett; Eric Barron; Graham" "Bench; Pat Berge; George Boer; Celine J. W. Bonfils; James A." "Bono; James Boyle; Ray Bradley; Robin Bravender; Keith Briffa; Wolfgang Brueggemann; Lisa Butler; Ken Caldeira; Peter Caldwell; Dan Cayan; Peter U. Clark; Amy Clement; Nancy Cole; William Collins; Tina Conrad; Curtis Covey; birte dar; Davies Trevor Prof; Jay Davis; Tomas Diaz De La Rubia; Andrew Dessler; Michael" "Dettinger; Phil Duffy; Paul J." "Ehlenbach; Kerry Emanuel; James Estes; Veronika" "Eyring; David Fahey; Chris Field; Peter Foukal; Melissa Free; Julio Friedmann; Bill Fulkerson; Inez Fung; Jeff Garberson; PETER GENT; Nathan Gillett; peter gleckler; Bill Goldstein; Hal Graboske; Tom Guilderson; Leopold Haimberger; Alex Hall; James Hansen; harvey; Klaus Hasselmann; Susan Joy Hassol; Isaac Held; Bob Hirschfeld; Jeremy Hobbs; Dr. Elisabeth A. Holland; Greg Holland; Brian Hoskins; mhughes; James Hurrell; Ken Jackson; c jakob; Gardar Johannesson; Philip D. Jones; Helen Kang; Thomas R Karl; David Karoly; Jeffrey Kiehl; Steve Klein; Knutti Reto; John Lanzante; [email protected]; Ron Lehman; John lewis; Steven A. "Lloyd (GSFC-610.2)[R S INFORMATION SYSTEMS INC]"; Jane Long; Janice Lough; mann; [email protected]; Linda Mearns; carl mears; Jerry Meehl; Jerry Melillo; George Miller; Norman Miller; Art Mirin; John FB" "Mitchell; Phil Mote; Neville Nicholls; Gerald R. North; Astrid E.J. Ogilvie; Stephanie Ohshita; Tim Osborn; Stu" "Ostro; j palutikof; Joyce Penner; Thomas C Peterson; Tom Phillips; David Pierce; [email protected]; V. -
Swanson and Tsonis
This is the print version of the Skeptical Science article 'It's internal variability', which can be found at http://sks.to/variable. What The Science Says: Internal variability can only account for ~0.3°C change in average global surface air temperature at most over periods of several decades, and scientific studies have consistently shown that it cannot account for more than a small fraction of the global warming over the past century. Climate Myth: It's internal variability When you look at the possibility of natural unforced variability, you see that can cause excursions that we've seen recently (Dr. John Christy) A favorite argument among climate scientist "skeptics" like Christy, Spencer, and Lindzen is that "internal variability" can account for much or all of the global warming we've observed over the past century. As we will see here, natural variability cannot account for the large and rapid warming we've observed over the past century, and particularly the past 40 years. Swanson and Tsonis One of the most widely-circulated papers on the impact of natural variability on global temperatures is Swanson et al. (2009) which John has previously discussed. Although Swanson 2009 was widely discussed throughout the blogosphere and mainstream media, the widespread beliefs that the study attributed global warming to natural variability and/or predicted global cooling were based on misunderstandings of the paper, as Dr. Swanson noted: "What do our results have to do with Global Warming, i.e., the century-scale response to greenhouse gas emissions? VERY LITTLE, contrary to claims that others have made on our behalf. -
A Report on the Way Forward Based on the Review of Research Gaps and Priorities
A Report on the Way Forward Based on the Review of Research Gaps and Priorities Sponsored by the Environmental Working Group of the U.S. NextGen Joint Planning and Development Office Lead Coordinating Author Dr. Guy P. Brasseur NCAR This report can be accessed via the internet at the following FAA website http://www.faa.gov/about/office_org/headquarters_offices/aep/aviation_climate/ 1 Table of Contents Preface.……………………………………………………………………………………………5 Executive Summary..……………………………………………………………………………...7 Chapter 1…………………………………………………………………………………………12 Introduction Chapter 2…………………………………………………………………………………............17 Contrails and Induced Cirrus: Microphysics and Climate Impact Chapter 3…………………………………………………………………………………………24 Contrails and Induced Cirrus: Optics and Radiation Chapter 4…………………………………………………………………………………………28 Chemistry and Transport Processes in the Upper Troposphere and Lower Stratosphere Chapter 5…………………………………………………………………………………………35 Climate Impacts Metrics for Aviation Chapter 6…………………………………………………………………………………………40 The Way Forward References………………………………………………………………………………………..43 Appendix I: List of ACCRI Subject Specific Whitepapers…………………………………...49 Appendix II: ACCRI Science Meeting Agenda………………………………………………..50 Appendix III: List of ACCRI Science Meeting Participants……………………………………53 2 Author Team* Preface Authors: Mohan Gupta and Lourdes Maurice, FAA; Cindy Newberg, EPA; Malcolm Ko, John Murray and Jose Rodriguez, NASA; David Fahey, NOAA Executive Summary Author: Guy Brasseur, NCAR Chapter I Introduction Author: Guy Brasseur, NCAR -
The Consensus on Anthropogenic Global Warming Matters
BSTXXX10.1177/0270467617707079Bulletin of Science, Technology & SocietyPowell 707079research-article2017 Article Bulletin of Science, Technology & Society 2016, Vol. 36(3) 157 –163 The Consensus on Anthropogenic © The Author(s) 2017 Reprints and permissions: sagepub.com/journalsPermissions.nav Global Warming Matters DOI:https://doi.org/10.1177/0270467617707079 10.1177/0270467617707079 journals.sagepub.com/home/bst James Lawrence Powell1 Abstract Skuce et al., responding to Powell, title their article, “Does It Matter if the Consensus on Anthropogenic Global Warming Is 97% or 99.99%?” I argue that the extent of the consensus does matter, most of all because scholars have shown that the stronger the public believe the consensus to be, the more they support the action on global warming that human society so desperately needs. Moreover, anyone who knows that scientists once thought that the continents are fixed in place, or that the craters of the Moon are volcanic, or that the Earth cannot be more than 100 million years old, understands that a small minority has sometimes turned out to be right. But it is hard to think of a case in the modern era in which scientists have been virtually unanimous and wrong. Moreover, as I show, the consensus among publishing scientists is demonstrably not 97%. Instead, five surveys of the peer-reviewed literature from 1991 to 2015 combine to 54,195 articles with an average consensus of 99.94%. Keywords global warming, climate change, consensus, peer review, history of science Introduction Consensus Skuce et al. (2016, henceforth S16), responding to Powell What does consensus in science mean and how can it best be (2016), ask, “Does it matter if the consensus on anthropo- measured? The Oxford English Dictionary (2016) defines genic global warming is 97% or 99.99%?” consensus as “Agreement in opinion; the collective unani- Of course it matters. -
Fos Extracts - 2011
FoS Extracts - 2011 Contents 2011-11-30 .................................................................................................................................................. 10 Climategate 2.0: New Emails Rock the Global Warming Debate .......................................................... 10 Ross McKitrick: Fix the IPCC or Fold It ................................................................................................ 10 Climate Summit Opens in Durban .......................................................................................................... 10 Canadian Environment Minister Rejects “Guilt Payment” to Poorer Countries .................................... 11 Peter Foster: The Moral Climate ............................................................................................................. 11 UAH Global Temperature Update for October 2011: +0.11°C .............................................................. 11 2011-11-05 .................................................................................................................................................. 11 Obama’s Green Obsession: The Democrats’ Blue Collar Blues ............................................................ 11 Another Government-picked Power Company Buried in the Green Graveyard .................................... 12 Australian Archbishop: Carbon Credits Like Medieval Indulgences ..................................................... 12 Scientist Who Said Climate Skeptics Had Been Proved Wrong Accused of Hiding -
A Prediction Market for Climate Outcomes
Florida State University College of Law Scholarship Repository Scholarly Publications 2011 A Prediction Market for Climate Outcomes Shi-Ling Hsu Florida State University College of Law Follow this and additional works at: https://ir.law.fsu.edu/articles Part of the Environmental Law Commons, Law and Politics Commons, Natural Resources Law Commons, and the Oil, Gas, and Mineral Law Commons Recommended Citation Shi-Ling Hsu, A Prediction Market for Climate Outcomes, 83 U. COLO. L. REV. 179 (2011), Available at: https://ir.law.fsu.edu/articles/497 This Article is brought to you for free and open access by Scholarship Repository. It has been accepted for inclusion in Scholarly Publications by an authorized administrator of Scholarship Repository. For more information, please contact [email protected]. A PREDICTION MARKET FOR CLIMATE OUTCOMES * SHI-LING HSU This Article proposes a way of introducing some organization and tractability in climate science, generating more widely credible evaluations of climate science, and imposing some discipline on the processing and interpretation of climate information. I propose a two-part policy instrument consisting of (1) a carbon tax that is indexed to a “basket” of climate outcomes, and (2) a cap-and- trade system of emissions permits that can be redeemed in the future in lieu of paying the carbon tax. The amount of the carbon tax in this proposal (per ton of CO2) would be set each year on the basis of some objective, non-manipulable climate indices, such as temperature and mean sea level, and also on the number of certain climate events, such as flood events or droughts, that occurred in the previous year (or some moving average of previous years). -
Putting Climate Change Defendants in the Hot Seat
GAL.HACKNEY.DOC 3/8/2010 12:21 PM NOTES FLIPPING DAUBERT: PUTTING CLIMATE CHANGE DEFENDANTS IN THE HOT SEAT BY RYAN HACKNEY* Can climate change plaintiffs use Daubert challenges to exclude testimony by defense experts? Since the Supreme Court announced the standard in Daubert v. Merrell Dow Pharmaceuticals, Inc., it has been used almost exclusively to the benefit of defendants. There is no theoretical reason, however, why plaintiffs could not use Daubert challenges to exclude testimony by defense witnesses in a scientific field in which the great weight of scientific research supports the plaintiffs’ claims. It is likely that in many cases climate change litigation will present such a situation. This Note considers four ways in which plaintiffs may use the Daubert standard and the Federal Rules of Evidence to exclude and restrict defense testimony: challenge the witness, challenge the reliability of the evidence, challenge the fit of the evidence to the case, and challenge the conclusions a witness may draw from otherwise admissible evidence. Part II of this Note examines the field of climate change litigation and considers the kinds of scientific disputes that are likely to arise in future litigation. Part III looks at the Daubert standard and Rule 702 of the Federal Rules of Evidence. Part IV applies the Daubert standard to * Law Clerk to United States District Judge Sim Lake for the Southern District of Texas. J.D., University of Texas School of Law, 2009; A.B. and A.M., Harvard University, 1997. The author would like to thank Professor Wendy Wagner for her insight and enthusiasm during the writing of this paper. -
2012 Redacted Response
From: Gillis, Justin To: Andrew Dessler Subject: RE: thoughts on Heartland Leak w.r.t. cloud feedback Date: Thursday, March 08, 2012 11:23:54 AM Yes, he was making that complaint. "My papers get special treatment from the cabal," etc. etc. I have to say I read the reviews of the '11 paper, at your suggestion, and they looked completely professional and on-point to my unpracticed eye. -----Original Message----- From: On Behalf Of Andrew Dessler Sent: Thursday, March 08, 2012 12:07 PM To: Gillis, Justin Subject: Re: thoughts on Heartland Leak w.r.t. cloud feedback He's been trying to publish this, but it's been rejected at least twice and a third rejection is on the way (I think). Dick doesn't understand R^2 or, more likely, the argument is just a squirt of squids' ink designed to confuse. On Thu, Mar 8, 2012 at 10:20 AM, Gillis, Justin wrote: > He had choice words to say about your paper, by the way. "R-squared of .02! Can you believe that!" I take it that means he didn't like the width of your error bars, or some such... > > > > -----Original Message----- > From: On > Behalf Of Andrew Dessler > Sent: Thursday, March 08, 2012 11:18 AM > To: Gillis, Justin > Subject: Re: thoughts on Heartland Leak w.r.t. cloud feedback > >> I trust you're treating these e-mails in strictest confidence, as I will. > > yes, do not worry. > >> >> >> >> -----Original Message----- >> From: On >> Behalf Of Andrew Dessler >> Sent: Thursday, March 08, 2012 10:59 AM >> To: Gillis, Justin >> Subject: Re: thoughts on Heartland Leak w.r.t. -
Some Basic Questions About Climate Models David B
Professional paper Some basic questions about climate models David B. South, Peter Brown and Bill Dyck1 ome foresters are concerned about increasing CO2 models? If not, why not? levels in the atmosphere while others doubt that CO2 Shas been the main driver of climate change over the --------------------- past million years or over the past two centuries (Brown et al. 2008). We three admit that (1) we do not know what the IPCC figure TS.26 includes computer projections future climate will be in the year 2100, (2) we do not pretend of four CO2 emission scenarios for the years 2000 to to know the strength of individual feedback factors, (3) 2025 (IPCC 2007a). Figure 1 is an updated version with extra data points. The mean of the projections for global we do not know how much 600 ppm of CO2 will warm the Earth and (4) we do not know how the climate will affect temperatures are jagged, suggesting that for some years the the price of pine sawlogs in the year 2050 (in either relative temperature is predicted to increase (e.g. 2007) while in or absolute terms). The climate is not a simple system and others the temperature is predicted to decline slightly (e.g. therefore we believe it is important to ask questions. The 2008). However, observed data for 2006, 2007 and 2008 following 15 questions deal mainly with global climate all fall below the projections. Although several models models (GCM). suggest the temperature for 2008 should be about 0.59 °C above the 1961-1990 mean, the value in 2008 was 0.328°C (are all three digits past the decimal point significant?). -
Lindzen and Choi, 2009) Was Subject to Significant Criticisms
Asia-Pacific J. Atmos. Sci., 47(4), 377-390, 2011 DOI:10.1007/s13143-011-0023-x On the Observational Determination of Climate Sensitivity and Its Implications Richard S. Lindzen1 and Yong-Sang Choi2 1Program in Atmospheres, Oceans, and Climate, Massachusetts Institute of Technology, Cambridge, U. S. A. 2Department of Environmental Science and Engineering, Ewha Womans University, Seoul, Korea (Manuscript received 23 February 2011; revised 22 May 2011; accepted 22 May 2011) © The Korean Meteorological Society and Springer 2011 Abstract: We estimate climate sensitivity from observations, using absorbent in the infrared (greenhouse gases) interfere with the the deseasonalized fluctuations in sea surface temperatures (SSTs) cooling of the planet, forcing it to become warmer in order to and the concurrent fluctuations in the top-of-atmosphere (TOA) emit sufficient infrared radiation to balance the net incoming outgoing radiation from the ERBE (1985-1999) and CERES (2000- sunlight (Lindzen, 1999). By net incoming sunlight, we mean that 2008) satellite instruments. Distinct periods of warming and cooling in the SSTs were used to evaluate feedbacks. An earlier study portion of the sun’s radiation that is not reflected back to space by (Lindzen and Choi, 2009) was subject to significant criticisms. The clouds, aerosols and the earth’s surface. CO2, a relatively minor present paper is an expansion of the earlier paper where the various greenhouse gas, has increased significantly since the beginning of criticisms are taken into account. The present analysis accounts for the industrial age from about 280 ppmv to about 390 ppmv, the 72 day precession period for the ERBE satellite in a more presumably due mostly to man’s emissions. -
NASA ADVISORY COUNCIL Earth Sciences Subcommittee
Earth Science Subcommittee October 10, 2014 NASA ADVISORY COUNCIL Earth Sciences Subcommittee October 10, 2014 Teleconference MEETING MINUTES _____________________________________________________________ Steven Running, Chair _____________________________________________________________ Lucia S. Tsaoussi, Executive Secretary 1 Earth Science Subcommittee October 10, 2014 Table of Contents Opening Remarks/Meeting Introduction 3 Earth Science Division Research Performance for Fiscal Year 2014 3 Adjourn 8 Appendix A - Attendees Appendix B - Membership roster Appendix C - Agenda Prepared by Elizabeth Sheley Zantech IT 2 Earth Science Subcommittee October 10, 2014 Friday, October 10, 2014 Opening Remarks/Meeting Introduction Dr. Lucia Tsaoussi, Executive Secretary of the Earth Science Subcommittee (ESS) of the NASA Advisory Committee (NAC), began the meeting by calling roll of the ESS members. Earth Science Division Research Performance for Fiscal Year 2014 Dr. Tsaoussi explained that the teleconference had been called with the purpose of evaluating NASA’s Earth Science Division (ESD) under the Government Performance and Results Act (GPRA) Modernization Act (GPRAMA). GPRAMA is a tool to improve the efficiency of all Federal agencies. As part of the GPRAMA process, NASA’s Federal Advisory Committee Act (FACA) committees and subcommittees provide required “expert external review” in evaluating the Agency’s work. Therefore, ESS was being asked to evaluate how ESD has demonstrated progress in meeting key science objectives in context of the resources invested. The 2014 GPRAMA review was to cover events in Fiscal Year 2014 (FY14). All activities considered must have been fully or partly funded by NASA, and results should have been reported by a peer- reviewed journal or some other noncontroversial, reliable source. ESS was to provide an official vote on each criterion, along with supporting text that identified any particularly noteworthy items. -
PUC Docket No. E-999/CI-14-643 OAH Docket No. 80-2500-31888 Clean Energy Organizations Exhibit ______
PUC Docket No. E-999/CI-14-643 OAH Docket No. 80-2500-31888 Clean Energy Organizations Exhibit ________ BEFORE THE MINNESOTA OFFICE OF ADMINISTRATIVE HEARINGS 600 North Robert Street St. Paul, MN 55101 FOR THE MINNESOTA PUBLIC UTILITIES COMMISSION 121 Seventh Place East, Suite 350 St Paul, MN 55101-2147 In the Matter of the Further PUC Docket No. E-999/CI-14-643 Investigation into Environmental and OAH Docket No. 80-2500-31888 Socioeconomic Costs Under Minnesota Statute 216B.2422, Subd. 3 REBUTTAL TESTIMONY OF DR. ANDREW DESSLER, Professor in the Department of Atmospheric Sciences Texas A&M University On Behalf of Clean Energy Organizations PUC Docket No. E-999/CI-14-643 OAH Docket No. 80-2500-31888 Clean Energy Organizations Exhibit ________ TABLE OF CONTENTS I. EXPERT EXPERIENCE ............................................................................................. 1 II. OVERVIEW OF TESTIMONY .................................................................................. 2 III. SPECIFIC RESPONSES OR CORRECTIONS ......................................................... 4 A. Equilibrium Climate Sensitivity ........................................................................... 4 B. Temperature Data ................................................................................................. 8 C. No Evidence of a Warming “Hiatus” ................................................................. 15 D. Accuracy of Models ........................................................................................... 23 E. Extreme