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Inna Polichtchouk
Inna Polichtchouk - Curriculum Vitae Department of Meteorology University of Reading Reading, RG6 6BX (+44) 7722 150588 [email protected] http://www.met.reading.ac.uk/∼sn907943/home/inna.php EMPLOYMENT European Centre for Medium-Range Weather Forecasts, UK Nov 2016 { Present Visiting Scientist, Earth System Modelling Section Department of Meteorology, University of Reading, UK Aug 2014 { Present Post Doctoral Research Associate Principal Investigator: Ted Shepherd EDUCATION Queen Mary, University of London, UK Oct 2010 { Dec 2014 PhD in Astrophysics, School of Physics and Astronomy. Thesis: Baroclinic Jets on \Other" Jupiters and Earths Advisor: James Y-K Cho Queen Mary, University of London, UK Sep 2006 { Jun 2010 MSci in Mathematics with Statistics, School of Mathematical Sciences { 1st class. Thesis: Baroclinic Instability on Hot Extrasolar Giant Planets Advisor: James Y-K Cho PROFESSIONAL EXPERIENCE Met Office, Exeter, UK Jun 2009 { Aug 2009 Internship in Data Assimilation Research Team. Role: Investigated generation of global background error covariance matrices via ensemble-driven methods for implementation in four dimensional variational data assimilation. Met Office, Exeter, UK Jun 2008 { Aug 2008 Internship in Health Team. Role: Analyzed the impact of Finnish weather on chronic obstructive pulmonary disease patients using statistical methods. 1 TEACHING AND SUPERVISION University of Reading, UK Oct 2017{Jan 2018 Joint principal investigator of Dr Nick Byrne, who works on the stratosphere-troposphere coupling in the IFS. Queen Mary, University of London, UK Oct 2010{Jun 2014 • Guest lecturer for the Extrasolar Planets and Astrophysical Disks module. • Teaching assistant for the following modules: Complex Variables, Calculus I & II, Introduction to Mathematical Computing, Differential Equations, Our Universe and Mathematical Techniques III. -
Western Europe Is Warming Much Faster Than Expected
Clim. Past, 5, 1–12, 2009 www.clim-past.net/5/1/2009/ Climate © Author(s) 2009. This work is distributed under of the Past the Creative Commons Attribution 3.0 License. Western Europe is warming much faster than expected G. J. van Oldenborgh1, S. Drijfhout1, A. van Ulden1, R. Haarsma1, A. Sterl1, C. Severijns1, W. Hazeleger1, and H. Dijkstra2 1KNMI (Koninklijk Nederlands Meteorologisch Instituut), De Bilt, The Netherlands 2Institute for Marine and Atmospheric Research, Utrecht University, The Netherlands Received: 28 July 2008 – Published in Clim. Past Discuss.: 29 July 2008 Revised: 22 December 2008 – Accepted: 22 December 2008 – Published: 21 January 2009 Abstract. The warming trend of the last decades is now so by Regional Climate models (RCMs) do not deviate much strong that it is discernible in local temperature observations. from GCMs, as the prescribed SST and boundary condition This opens the possibility to compare the trend to the warm- determine the temperature to a large extent (Lenderink et al., ing predicted by comprehensive climate models (GCMs), 2007). which up to now could not be verified directly to observations By now, global warming can be detected even on the grid on a local scale, because the signal-to-noise ratio was too point scale. In this paper we investigate the high tempera- low. The observed temperature trend in western Europe over ture trends observed in western Europe over the last decades. the last decades appears much stronger than simulated by First we compare these with the trends expected on the basis state-of-the-art GCMs. The difference is very unlikely due of climate model experiments. -
Arlene Fiore & US
AQAST Spotlight: Arlene Fiore & U.S. EPA U.S. Air Pollution: Domestic or Imported? By Ben Kaldunski & Tracey Holloway The Environmental Protection Agency (EPA) is charged with keeping air healthy across the U.S., but what happens when air pollution flows in across our borders? Identifying the sources of pollution is a critical step in designing strategies to ensure that our air stays clean. Of course, airborne chemicals do not pass through customs, or carry import/export labels. Instead, scientists must use advanced computer models of air pollution chemistry and transport combined with detective work to piece together the evidence from the available measurements to determine how other countries are affecting domestic air quality in the U.S. Although our lungs can’t distinguish local from foreign air pollution, it is essential that policy makers know the difference. Otherwise, air quality managers risk setting unattainable limits, or regulating the wrong sources of emissions. This issue is particularly significant for ground-level ozone, because the EPA is currently developing a tighter national standard and “background” sources play a major role in the U.S. ground-level ozone Dr. Fiore’s research has helped EPA budget. Background ozone is defined by EPA as pollution that is formed improve modeling capabilities to produce more accurate estimates of background from sources beyond the control of U.S. air quality managers. Major ozone (Image from Columbia University). sources of background ozone include global methane emissions, transport from foreign countries and natural sources like wildfires and lightning. Arlene Fiore, Associate Professor at Columbia University and a member of NASA’s Air Quality Applied Sciences Team (AQAST), is one of the leading experts on the attribution of U.S. -
Climate Models and Their Evaluation
8 Climate Models and Their Evaluation Coordinating Lead Authors: David A. Randall (USA), Richard A. Wood (UK) Lead Authors: Sandrine Bony (France), Robert Colman (Australia), Thierry Fichefet (Belgium), John Fyfe (Canada), Vladimir Kattsov (Russian Federation), Andrew Pitman (Australia), Jagadish Shukla (USA), Jayaraman Srinivasan (India), Ronald J. Stouffer (USA), Akimasa Sumi (Japan), Karl E. Taylor (USA) Contributing Authors: K. AchutaRao (USA), R. Allan (UK), A. Berger (Belgium), H. Blatter (Switzerland), C. Bonfi ls (USA, France), A. Boone (France, USA), C. Bretherton (USA), A. Broccoli (USA), V. Brovkin (Germany, Russian Federation), W. Cai (Australia), M. Claussen (Germany), P. Dirmeyer (USA), C. Doutriaux (USA, France), H. Drange (Norway), J.-L. Dufresne (France), S. Emori (Japan), P. Forster (UK), A. Frei (USA), A. Ganopolski (Germany), P. Gent (USA), P. Gleckler (USA), H. Goosse (Belgium), R. Graham (UK), J.M. Gregory (UK), R. Gudgel (USA), A. Hall (USA), S. Hallegatte (USA, France), H. Hasumi (Japan), A. Henderson-Sellers (Switzerland), H. Hendon (Australia), K. Hodges (UK), M. Holland (USA), A.A.M. Holtslag (Netherlands), E. Hunke (USA), P. Huybrechts (Belgium), W. Ingram (UK), F. Joos (Switzerland), B. Kirtman (USA), S. Klein (USA), R. Koster (USA), P. Kushner (Canada), J. Lanzante (USA), M. Latif (Germany), N.-C. Lau (USA), M. Meinshausen (Germany), A. Monahan (Canada), J.M. Murphy (UK), T. Osborn (UK), T. Pavlova (Russian Federationi), V. Petoukhov (Germany), T. Phillips (USA), S. Power (Australia), S. Rahmstorf (Germany), S.C.B. Raper (UK), H. Renssen (Netherlands), D. Rind (USA), M. Roberts (UK), A. Rosati (USA), C. Schär (Switzerland), A. Schmittner (USA, Germany), J. Scinocca (Canada), D. Seidov (USA), A.G. -
Improving Climate Model Accuracy by Exploring Parameter Space with an O(105) Member
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-198 Manuscript under review for journal Geosci. Model Dev. Discussion started: 23 October 2018 c Author(s) 2018. CC BY 4.0 License. 1 Improving climate model accuracy by exploring parameter space with an O(105) member 2 ensemble and emulator 3 Sihan Li1,2, David E. Rupp3, Linnia Hawkins3,6, Philip W. Mote3,6, Doug McNeall4, Sarah 4 N. Sparrow2, David C. H. Wallom2, Richard A. Betts4,5, Justin J. Wettstein6,7,8 5 1Environmental Change Institute, School of Geography and the Environment, University 6 of Oxford, Oxford, United Kingdom 7 2Oxford e-Research Centre, University of Oxford, Oxford, United Kingdom 8 3Oregon Climate Change Research Institute, College of Earth, Ocean, and Atmospheric 9 Science, Oregon State University, Corvallis, Oregon 10 4Met Office Hadley Centre, FitzRoy Road, Exeter, United Kingdom 11 5College of Life and Environmental Sciences, University of Exeter, Exeter, UK 12 6College of Earth, Ocean, and Atmospheric Science, Oregon State University, Corvallis, 13 Oregon 14 7Geophysical Institute, University of Bergen, Bergen, Norway 15 8Bjerknes Centre for Climate Change Research, Bergen, Norway 16 Correspondence to: Sihan Li ([email protected]) 17 18 19 20 21 22 23 1 Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-198 Manuscript under review for journal Geosci. Model Dev. Discussion started: 23 October 2018 c Author(s) 2018. CC BY 4.0 License. 24 Abstract 25 Understanding the unfolding challenges of climate change relies on climate models, many 26 of which have large summer warm and dry biases over Northern Hemisphere continental 27 mid-latitudes. -
Climate Change Solutions for Australia the Australian Climate Group First Published in June 2004 by WWF Australia
2010 2020 2030 2040 2050 Climate Change Solutions for Australia The Australian Climate Group First published in June 2004 by WWF Australia © WWF Australia 2004. All Rights Reserved. ISBN: 1875 94169X Authors: Tony Coleman Professor Ove Hoegh-Guldberg Professor David Karoly Professor Ian Lowe Professor Tony McMichael Dr Chris Mitchell Dr Graeme Pearman Dr Peter Scaife Anna Reynolds The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of WWF. WWF Australia GPO Box 528 Sydney NSW Australia Tel: +612 9281 5515 Fax: +612 9281 1060 www.wwf.org.au For copies of this report or a full list of WWF Australia publications on a wide range of conservation issues, please contact us on [email protected] or call 1800 032 551. Cover image: Shock and Awe © Andrew Pade (www.andrewpade.com). Printed on Monza Satin recycled. Contents The Australian Climate Group 04 Climate change - solutions for Australia The Australian Climate Group was convened in late 2003 by WWF Australia and the Insurance Australia Group (IAG) in response to the increasing need for action on climate change in Australia. 06 Summary 08 Act now to lower the risks 10 A way forward for Australia 16 Earth is overheating Tony Coleman Professor Ove Hoegh-Guldberg Professor David Karoly Insurance Australia Group University of Queensland University of Oklahoma 22 Very small changes in the global temperature have very large impacts 30 Background information on the group 34 References Professor Ian Lowe Professor Tony McMichael Dr Chris Mitchell Griffith University Australian National Cooperative Research University Centre for Greenhouse Accounting Dr Graeme Pearman Dr Peter Scaife Anna Reynolds CSIRO Atmospheric University of Newcastle WWF Australia Research Climate Change – Solutions for Australia 2010 2020 2030 2040 2050 Introduction There are moments in time when global threats arise, and when action is imperative. -
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. -
March 2010 OAR Women Scienti Sts: the Rewards and Benefi Ts of Mentoring Programs March Is Women’S History Month and the Theme Is Writi Ng Women Back Into History
Volume 1, Issue 8 EEO/Diversity Newsletter for NOAA Research March 2010 OAR Women Scienti sts: The Rewards and Benefi ts of Mentoring Programs March is Women’s History Month and the theme is Writi ng Women Back into History. Three OAR women scienti sts share how mentoring and support groups have played an important part in their careers in the science fi eld. Dr. Arlene Fiore, Research Physical Scienti st, GFDL At an American Geophysical Union (AGU) meeti ng in spring of 2002, Dr. Fiore was one of six women who met informally and recognized the benefi ts of a peer network group. Eight years later, Earth Science Women’s Network (ESWN), now includes 900 members spanning large research universiti es, small liberal-arts colleges, government agencies, and research organizati ons in From left to right: ESWN Board members at OAR sponsored workshop: Kim Popendorf, Tracey Holloway, Christi ne Wiedinmyer, Allison Steiner, Arlene Fiore, Meredith Hasti ngs, Galen McKinley, the U.S. and abroad. MPOWIR representati ve, Victoria Coles, and NOAA OAR representati ves, Cassandra Barnes and Sandra Knight. “Women scienti sts oft en express a additi onal areas for building skills of connectedness to other women sense of isolati on at their insti tuti ons among members, which will be scienti sts at similar points in their – while this is certainly improving, supported by an NSF grant. careers and the enthusiasm that there are far fewer women senior new members oft en express for the scienti sts to serve as role models. I’d continued on page 2 existence of ESWN.” like to emphasize the value of peer mentoring, the niche that ESWN Annual networking events are held seeks to fi ll,” said Dr. -
HAQAST 2019 Review
HAQAST 2019 Review Prepared by Tracey Holloway | HAQAST Team Lead | [email protected] Daegan Miller | HAQAST Communications Lead | [email protected] Page Bazan | HAQAST Communications Specialist | [email protected] September 11, 2019 haqast.org Connecting NASA Data and Tools With Health and Air Quality Stakeholders WWW.HAQAST.ORG TWITTER.COM/NASA_HAQAST What is “hay-kast”? • Health and Air Quality Applied Sciences Team • NASA-funded Applied Sciences Team • 3 4-year funded project (thru summer ’19 ‘20) • 13 Members and 70+ co-investigators • Mission: Connect NASA science with air quality and health applications • ~ $15 Million Total Cost • Three types of work: HAQAST Investigator Susan Anenberg (left), NASA HQ Program Manager John Haynes (middle), and HAQAST 1. Outreach & engagement Communications Lead Daegan Miller (right) at HAQAST4 in Madison, WI 2. Tiger team projects (collaborative) 3. Member projects HAQAST: Who We Are Tracey Holloway Team Lead, UW-Madison Bryan Duncan NASA GSFC Arlene Fiore Columbia University Minghui Diao San Jose State University Daven Henze University of Colorado, Boulder Jeremy Hess University of Washington, Seattle Yang Liu Emory University Jessica Neu NASA Jet Propulsion Laboratory Susan O’Neill USDA Forest Service Ted Russell Georgia Tech Daniel Tong George Mason University Jason West UNC-Chapel Hill Mark Zondlo Princeton University HAQAST: Who We Are HAQAST Leadership Team Tracey Holloway Daegan Miller Page Bazan HQAST Team Lead HQAST Communications Lead HQAST Communications Specialist HAQAST Meetings Photos -
Global Climate Models and Their Limitations Anthony Lupo (USA) William Kininmonth (Australia) Contributing: J
1 Global Climate Models and Their Limitations Anthony Lupo (USA) William Kininmonth (Australia) Contributing: J. Scott Armstrong (USA), Kesten Green (Australia) 1. Global Climate Models and Their Limitations Key Findings Introduction 1.1 Model Simulation and Forecasting 1.2 Modeling Techniques 1.3 Elements of Climate 1.4 Large Scale Phenomena and Teleconnections Key Findings Confidence in a model is further based on the The IPCC places great confidence in the ability of careful evaluation of its performance, in which model general circulation models (GCMs) to simulate future output is compared against actual observations. A climate and attribute observed climate change to large portion of this chapter, therefore, is devoted to anthropogenic emissions of greenhouse gases. They the evaluation of climate models against real-world claim the “development of climate models has climate and other biospheric data. That evaluation, resulted in more realism in the representation of many summarized in the findings of numerous peer- quantities and aspects of the climate system,” adding, reviewed scientific papers described in the different “it is extremely likely that human activities have subsections of this chapter, reveals the IPCC is caused more than half of the observed increase in overestimating the ability of current state-of-the-art global average surface temperature since the 1950s” GCMs to accurately simulate both past and future (p. 9 and 10 of the Summary for Policy Makers, climate. The IPCC’s stated confidence in the models, Second Order Draft of AR5, dated October 5, 2012). as presented at the beginning of this chapter, is likely This chapter begins with a brief review of the exaggerated. -
Explosive Cyclogenesis: a Global Climatology Comparing Multiple Reanalyses
6468 JOURNAL OF CLIMATE VOLUME 23 Explosive Cyclogenesis: A Global Climatology Comparing Multiple Reanalyses JOHN T. ALLEN,ALEXANDRE B. PEZZA, AND MITCHELL T. BLACK The University of Melbourne, Melbourne, Victoria, Australia (Manuscript received 17 September 2009, in final form 23 August 2010) ABSTRACT A global climatology for rapid cyclone intensification has been produced from the second NCEP reanalysis (NCEP2), the 25-yr Japanese Reanalysis (JRA-25), and the ECMWF reanalyses over the period 1979–2008. An improved (combined) criterion for identifying explosive cyclones has been developed based on preexisting definitions, offering a more balanced, normalized climatological distribution. The combined definition was found to significantly alter the population of explosive cyclones, with a reduction in ‘‘artificial’’ systems, which are found to compose 20% of the population determined by earlier definitions. Seasonally, winter was found to be the dominant formative period in both hemispheres, with a lower degree of interseasonal variability in the Southern Hemisphere (SH). Considered over the period 1979–2008, little change is observed in the frequency of systems outside of natural interannual variability in either hemisphere. Significant statistical differences have been found between reanalyses in the SH, while in contrast the Northern Hemisphere (NH) was characterized by strong positive correlations between reanalyses in almost all examined cases. Spatially, explosive cyclones are distributed into several distinct regions, with two regions in the northwest Pacific and the North Atlantic in the NH and three main regions in the SH. High-resolution and modern reanalysis data were also found to increase the climatology population of rapidly intensifying systems. This indicates that the reanalyses have apparently undergone increasing improvements in consistency over time, particularly in the SH. -
Intercontinental Transport of Air Pollution
Environ. Sci. Technol. 2003, 37, 4535-4542 mechanism to manage this air pollution transport between Intercontinental Transport of Air countries. If such a treaty were used to regulate non-carbon Pollution: Will Emerging Science dioxide (CO2) greenhouse gases and black carbon along with other species of interest for health and agriculture, it could Lead to a New Hemispheric Treaty? pave the way for future CO2 regulations. Research on ICT is an ongoing example of feedbacks between scientific knowledge and policy awareness in which TRACEY HOLLOWAY* the science and policy communities influence one another. Earth Institute, Columbia University, 2910 Broadway, Atmospheric chemistry and climate researchers have con- New York, New York 10027 vened in workshops to address the scientific questions of hemispheric air pollution transport and evaluate the growing ARLENE FIORE evidence for ICT from both measurement and modeling Department of Earth and Planetary Sciences, Harvard studies. These workshops, outlined in Tables 1 and 2, are University, 20 Oxford Street, Cambridge, Massachusetts 02138 influencing the policy community, raising awareness of the issues, and increasing the priority of research funding for MEREDITH GALANTER HASTINGS global scale air pollution research. To improve this process, Department of Geosciences, Princeton University, both the science and the policy communities should create B-78 Guyot Hall, Princeton, New Jersey 08544 opportunities to foster the interaction needed for both communities to make progress in this area. In March 2000, the International Global Atmospheric Chemistry Program (IGAC) launched the Intercontinental We examine the emergence of InterContinental Transport Transport and Chemical Transformation (ICTC) research (ICT) of air pollution on the agendas of the air quality activity, bringing together international measurement cam- and climate communities and consider the potential for a paigns and modeling efforts contributing to ICT under- new treaty on hemispheric air pollution.