What Even Is 'Climate'?
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Climate Change and Human Health: Risks and Responses
Climate change and human health RISKS AND RESPONSES Editors A.J. McMichael The Australian National University, Canberra, Australia D.H. Campbell-Lendrum London School of Hygiene and Tropical Medicine, London, United Kingdom C.F. Corvalán World Health Organization, Geneva, Switzerland K.L. Ebi World Health Organization Regional Office for Europe, European Centre for Environment and Health, Rome, Italy A.K. Githeko Kenya Medical Research Institute, Kisumu, Kenya J.D. Scheraga US Environmental Protection Agency, Washington, DC, USA A. Woodward University of Otago, Wellington, New Zealand WORLD HEALTH ORGANIZATION GENEVA 2003 WHO Library Cataloguing-in-Publication Data Climate change and human health : risks and responses / editors : A. J. McMichael . [et al.] 1.Climate 2.Greenhouse effect 3.Natural disasters 4.Disease transmission 5.Ultraviolet rays—adverse effects 6.Risk assessment I.McMichael, Anthony J. ISBN 92 4 156248 X (NLM classification: WA 30) ©World Health Organization 2003 All rights reserved. Publications of the World Health Organization can be obtained from Marketing and Dis- semination, World Health Organization, 20 Avenue Appia, 1211 Geneva 27, Switzerland (tel: +41 22 791 2476; fax: +41 22 791 4857; email: [email protected]). Requests for permission to reproduce or translate WHO publications—whether for sale or for noncommercial distribution—should be addressed to Publications, at the above address (fax: +41 22 791 4806; email: [email protected]). The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. -
Benjamin J. Hatchett, Ph.D
Benjamin J. Hatchett, Ph.D. Assistant Research Professor [email protected] Division of Atmospheric Sciences (775)-674-7111 Desert Research Institute Reno, Nevada, 89512 RESEARCH AND TEACHING INTERESTS Dryland and mountain hydroclimatology and hydrometeorology; paleoclimate; field methods; cli- mate dynamics; numerical modeling; extreme weather; natural hazards; science communication. EDUCATION Doctor of Philosophy, Geography University of Nevada, Reno May 2016 Master of Science, Atmospheric Sciences University of Nevada, Reno May 2012 Bachelor of Science, Geography (Hydrogeology minor) University of Nevada, Reno May 2008 PROFESSIONAL EXPERIENCE Assistant Research Professor Desert Research Institute, Reno, NV July 2018 { Present Regional Climatologist Western Regional Climate Center, Reno, NV July 2020 { Present Adjunct Faculty Lake Tahoe Community College, South Lake Tahoe, CA August 2011 { Present Sierra Nevada College, Incline Village, NV January 2016 { Present Postdoctoral Scholar Desert Research Institute, Reno, NV August 2016 { June 2018 September 2021 1 B.J. Hatchett JOURNAL PUBLICATIONS Google Scholar h-index = 15, i10 = 21, cited by: 518 37. Hatchett, B.J., Benmarhnia T, Guirguis K, VanderMolen K, Gershunov A, Kerwin H, Khlystov A, Lambrecht K.M., Samburova V: Mobility data aids assessment of human re- sponses to extreme environmental conditions. Accepted, The Lancet Planetary Health 36. Siirila-Woodburn, E., Rhoades, A.M., Hatchett, B.J., Huning, L., Szinai, J., Tague, C., Nico, P.S., Feldman, D., Jones, A.D., Collins, W.D., Kaatz, L., The low-to-no snow future and its impacts on water resources in the western United States. Accepted, Nature Reviews Earth and Environment, doi:10.1038/s43017-021-00219-y 35. Bambach, N.E., Rhoades, A.M., Hatchett, B.J., Jones, A.D., Ullrich, P.A., and Zarzy- cki, C.M.: Projecting climate change in South America using variable-resolution CESM: An application to Chile. -
(Highresmip V1.0) for CMIP6
High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6 1 2 3 5 Reindert J. Haarsma , Malcolm Roberts , Pier Luigi Vidale , Catherine A. Senior2, Alessio Bellucci4, Qing Bao5, Ping Chang6, Susanna Corti7, Neven S. Fučkar8, Virginie Guemas8, Jost von Hardenberg7, Wilco Hazeleger1,9,10, Chihiro Kodama11, Torben Koenigk12, Lai-Yung Ruby Leung13, Jian Lu13, Jing-Jia Luo14, Jiafu Mao15, Matthew S. Mizielinski2, Ryo Mizuta16, Paulo Nobre17, Masaki 18 4 19 20 10 Satoh , Enrico Scoccimarro , Tido Semmler , Justin Small , Jin-Song von Storch21 1Royal Netherlands Meteorological Institute, De Bilt, The Netherlands 2Met Office Hadley Centre, Exeter, UK 15 3University of Reading, Reading, UK 4 Centro Euro-Mediterraneo per i Cambiamenti Climatici, Bologna, Italy 5LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing , China P.R. 6Texas A&M University, College Station, Texas, USA 7National Research Council – Institute of Atmospheric Sciences and Climate, Italy 20 8Barcelona Super Computer Center, Earth Sciences Department, Barcelona, Spain 9Netherlands eScience Center, Amsterdam, The Netherlands 10Wageningen University, The Netherlands 11Japan Agency for Marine-Earth Science and Technology, Japan 12Swedish Meteorological and Hydrological Institute, Norrköping, Sweden 25 13Pacific Northwest National Laboratory, Richland, USA 14Bureau of Meteorology, Australia 15Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA 16Meteorological Research Institute, -
Orographic Effect on the Summer
Orographic Effects on South China Sea Summer Climate Haiming Xu∗ Department of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing, China Shang-Ping Xie and Yuqing Wang International Pacific Research Center and Department of Meteorology, University of Hawaii, Hawaii, USA Wei Zhuang, and Dongxiao Wang LED,South China Sea Institute of Oceanology, Chinese Academy of Science, Guangzhou, China Submitted to Meteorology and Atmospheric Physics April, 2007 ∗ Corresponding author address: Dr. Haiming Xu, Department of Atmospheric Sciences, Nanjing University of Information Science and Technology, 114 New Street, Pancheng, Pukou District, Nanjing 210044, China. E-mail: [email protected] Abstract New satellite observations reveal several distinct features of the South China Sea (SCS) summer climate: an intense low-level southwesterly wind jet off the coast of South Vietnam, a precipitation band on the western flank of the north-south running Annam mountain range, and a rainfall shadow to the east in the western SCS off the east coast of Vietnam. A high-resolution full-physics regional atmospheric model is used to investigate the mechanism for the formation of SCS summer climate. A comparison of the control model simulation with a sensitivity experiment with the mountain range artificially removed demonstrates that the aforementioned features form due to orographic effects of the Annam mountains. Under the prevailing southwesterly monsoon, the mountain range forces the ascending motion on the windward and subsidence on the lee side, giving rise to bands of active and suppressed convection, respectively. On the south edge of the mountain range, the southwesterlies are accelerated to form an offshore low-level wind jet. -
Editorial: the Past, Present, and Future of Monthly Weather Review
The University of Manchester Research Editorial: The past, present, and future of Monthly Weather Review DOI: 10.1175/2007MWR9047 Link to publication record in Manchester Research Explorer Citation for published version (APA): Schultz, D. M. (2008). Editorial: The past, present, and future of Monthly Weather Review. Monthly Weather Review, 136(1), 3-6. https://doi.org/10.1175/2007MWR9047 Published in: Monthly Weather Review Citing this paper Please note that where the full-text provided on Manchester Research Explorer is the Author Accepted Manuscript or Proof version this may differ from the final Published version. If citing, it is advised that you check and use the publisher's definitive version. General rights Copyright and moral rights for the publications made accessible in the Research Explorer are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Takedown policy If you believe that this document breaches copyright please refer to the University of Manchester’s Takedown Procedures [http://man.ac.uk/04Y6Bo] or contact [email protected] providing relevant details, so we can investigate your claim. Download date:28. Sep. 2021 VOLUME 136 MONTHLY WEATHER REVIEW JANUARY 2008 EDITORIAL The Past, Present, and Future of Monthly Weather Review Before the Internet, at a time when most publishing meteorologists recognized a PDF as a probability density function, submitting a manuscript to Monthly Weather Review (MWR) required printing a file containing the text of the manuscript, creating each figure as a separate entity, pasting each figure into the manuscript, making five photo- copies, writing a cover letter, and shipping the whole package of paper to the chief editor’s office, often at a premium via overnight mail. -
Computer Models, Climate Data, and the Politics of Global Warming (Cambridge: MIT Press, 2010)
Complete bibliography of all items cited in A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming (Cambridge: MIT Press, 2010) Paul N. Edwards Caveat: this bibliography contains occasional typographical errors and incomplete citations. Abbate, Janet. Inventing the Internet. Inside Technology. Cambridge: MIT Press, 1999. Abbe, Cleveland. “The Weather Map on the Polar Projection.” Monthly Weather Review 42, no. 1 (1914): 36-38. Abelson, P. H. “Scientific Communication.” Science 209, no. 4452 (1980): 60-62. Aber, John D. “Terrestrial Ecosystems.” In Climate System Modeling, edited by Kevin E. Trenberth, 173- 200. Cambridge: Cambridge University Press, 1992. Ad Hoc Study Group on Carbon Dioxide and Climate. “Carbon Dioxide and Climate: A Scientific Assessment.” (1979): Air Force Data Control Unit. Machine Methods of Weather Statistics. New Orleans: Air Weather Service, 1948. Air Force Data Control Unit. Machine Methods of Weather Statistics. New Orleans: Air Weather Service, 1949. Alaka, MA, and RC Elvander. “Optimum Interpolation From Observations of Mixed Quality.” Monthly Weather Review 100, no. 8 (1972): 612-24. Edwards, A Vast Machine Bibliography 1 Alder, Ken. The Measure of All Things: The Seven-Year Odyssey and Hidden Error That Transformed the World. New York: Free Press, 2002. Allen, MR, and DJ Frame. “Call Off the Quest.” Science 318, no. 5850 (2007): 582. Alvarez, LW, W Alvarez, F Asaro, and HV Michel. “Extraterrestrial Cause for the Cretaceous-Tertiary Extinction.” Science 208, no. 4448 (1980): 1095-108. American Meteorological Society. 2000. Glossary of Meteorology. http://amsglossary.allenpress.com/glossary/ Anderson, E. C., and W. F. Libby. “World-Wide Distribution of Natural Radiocarbon.” Physical Review 81, no. -
Aerosol-Orography-Precipitation – a Critical Assessment T Goutam Choudhurya, Bhishma Tyagia,*, Jyotsna Singhb, Chandan Sarangic, S.N
Atmospheric Environment 214 (2019) 116831 Contents lists available at ScienceDirect Atmospheric Environment journal homepage: www.elsevier.com/locate/atmosenv Review article Aerosol-orography-precipitation – A critical assessment T Goutam Choudhurya, Bhishma Tyagia,*, Jyotsna Singhb, Chandan Sarangic, S.N. Tripathid a Department of Earth and Atmospheric Sciences, National Institute of Technology Rourkela, Rourkela, 769008, Odisha, India b Shanti Raj Bhawan, Paramhans Nagar, Kandwa, Varanasi, 221106, India c Pacific Northwest National Laboratory, Richland, United States d Department of Civil Engineering & Department of Earth Sciences, Indian Institute of Technology Kanpur, Kanpur, 208016, India GRAPHICAL ABSTRACT ARTICLE INFO ABSTRACT Keywords: The increasing anthropogenic pollution and its interaction with precipitation received much attention from the Aerosols research community and have been explored extensively for understanding the aerosol-cloud interactions. The Aerosol-orography-precipitation interactions impacts of orography and aerosols on the precipitation processes have unveiled the Aerosol-Orography- Cloud microphysics Precipitation (AOP) interaction as an essential research area. The understanding of AOP interaction is critical for Spillover effect improving the extreme rainfall events prediction over mountainous regions. The phase of clouds (warm or Orographic enhancement factor mixed) along with orography has emerged as a significant factor for influencing the AOP relations. The present work reviews the modelling and observational based studies dealing with the relationship between orography and aerosols on the precipitation. The study reveals the principal role of aerosols in shifting the precipitation pattern for orographic regions. The environmental factors, especially ambient temperature, humidity and flow patterns are also identified to affect the orographic precipitation. The review also discovers that AOP studies exist only to limited areas of the world due to limited observations, and mostly with idealised cases in the modelling framework. -
An Idealized Physical Model for the Severe Convective Storm
Generated using the official AMS LATEX template—two-column layout. FOR AUTHOR USE ONLY, NOT FOR SUBMISSION! J OURNALOFTHE A TMOSPHERIC S CIENCES An idealized physical model for the severe convective storm environmental sounding Accepted in Journal of the Atmospheric Sciences 2020-10-26, there may still be copy-editing errors DANIEL R. CHAVAS* Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, IN DANIEL T. DAWSON II Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, IN ABSTRACT This work develops a theoretical model for steady thermodynamic and kinematic profiles for severe con- vective storm environments, building off of the two-layer static energy framework developed in Agard and Emanuel (2017). The model is phrased in terms of static energy, and it allows for independent variation of the boundary layer and free troposphere separated by a capping inversion. An algorithm is presented to apply the model to generate a sounding for numerical simulations of severe convective storms, and the model is compared and contrasted with that of Weisman and Klemp. The model is then fit to a case-study sounding associated with the 3 May 1999 tornado outbreak, and its potential utility is demonstrated via idealized nu- merical simulation experiments. A long-lived supercell is successfully simulated with the historical sounding but not the analogous theoretical sounding. Two types of example experiments are then performed that do simulate a long-lived supercell: 1) a semi-theoretical experiment in which a portion of the theoretical sound- ing is modified to match the real sounding (low-level moisture); 2) a fully-theoretical experiment in which a model physical parameter is modified (free-tropospheric relative humidity). -
Southern African Orography Impacts on Low Clouds and the Atlantic ITCZ
PUBLICATIONS Geophysical Research Letters RESEARCH LETTER Southern African orography impacts on low clouds 10.1002/2017GL073098 and the Atlantic ITCZ in a coupled model Key Points: S. F. Potter1 , E. J. Dawson2, and D. M. W. Frierson2 • Namibian stratocumulus deck thins fi signi cantly due to the removal of 1Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, Washington, USA, southern African orography 2 • Atlantic ITCZ shifts south due to the Department of Atmospheric Sciences, University of Washington, Seattle, Washington, USA increase in temperature resulting from the reduction of Namibian low clouds • Use of a coupled model allows ocean Abstract We examine the influence of southern African orography on the Namibian stratocumulus deck, circulation to cool the South Atlantic, the South Atlantic ocean-to-atmosphere energy transport, and the Intertropical Convergence Zone (ITCZ), which lessens and changes the structure of the ITCZ shift using an atmosphere-only model and a coupled atmosphere-ocean model. For both models, a control simulation with realistic orography is compared to a simulation where the orography in southern Africa was removed. As in the previous studies, the removal of orography results in thinning of the Namibian stratocumulus deck. In the coupled model, the increased sea surface temperature in the southern Atlantic Correspondence to: S. F. Potter, due to the reduction of low clouds forces the Atlantic ITCZ to shift southward toward the warmer [email protected] hemisphere. However, changes in the ocean circulation cool the South Atlantic atmosphere, lessening the ITCZ shift and changing the structure of precipitation. These results show the importance of orography on Citation: shaping Atlantic rainfall and highlight the role of dynamical ocean processes in atmospheric dynamics. -
The Impacts of Topography on Spatial and Temporal Rainfall Distribution Over Rwanda Based on WRF Model
Atmospheric and Climate Sciences, 2016, 6, 145-157 Published Online April 2016 in SciRes. http://www.scirp.org/journal/acs http://dx.doi.org/10.4236/acs.2016.62013 The Impacts of Topography on Spatial and Temporal Rainfall Distribution over Rwanda Based on WRF Model Didier Ntwali1,2,3*, Bob Alex Ogwang4,5, Victor Ongoma4 1Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China 2University of Chinese Academy of Sciences, Beijing, China 3Rwanda Meteorology Agency, Ministry of Natural Resources (MINIRENA), Kigali, Rwanda 4Nanjing University of Information, Science and Technology, Nanjing, China 5Uganda National Meteorological Authority, Kampala, Uganda Received 13 January 2016; accepted 26 February 2016; published 1 March 2016 Copyright © 2016 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract The impact of topography on heavy rainfall during two rain seasons was investigated in order to explain their mechanisms on rainfall distribution over Rwanda. Weather Research and Forecast- ing (WRF-ARW) model was used to study two historical cases of heavy rainfall which took place over Rwanda during two rain seasons, March to May (MAM) and September to December (SOND), from April 7 to 9, 2012 (for MAM) and from October 29 to 31, 2012 (during SOND). The control experiment was done with actual topography, whereas sensitivity experiment was carried out with topography reduced by half. Results show that rainfall distribution over Rwanda significantly changes when topography is reduced. The reduction in topography leads to a decrease in rainfall amounts in both MAM and SOND seasons, with varying magnitudes. -
Zonal Asymmetry of the QBO Temperature Signal in the Tropical Tropopause Region
RESEARCH LETTER Zonal Asymmetry of the QBO Temperature Signal 10.1029/2020GL089533 in the Tropical Tropopause Region Key Points: Susann Tegtmeier1 , James Anstey2, Sean Davis3 , Ioana Ivanciu4 , Yue Jia1 , • QBO temperature signals in the 1 4 tropical tropopause layer are David McPhee , and Robin Pilch Kedzierski enhanced over regions of 1 2 high‐reaching convection Institute of Space and Atmospheric Studies, University of Saskatchewan, Saskatoon, Saskatchewan, Canada, Canadian • Zonal asymmetry of QBO signal is Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, British Columbia, due to colder QBO cold phases over Canada, 3NOAA Chemical Sciences Laboratory, Boulder, CO, USA, 4GEOMAR Helmholtz Centre for Ocean Research the convective regions Kiel, Kiel, Germany • Analysis suggests a positive feedback mechanism that amplifies the QBO cold phase temperature anomalies over convectively Abstract The quasi‐biennial oscillation (QBO) of the equatorial zonal wind leads to zonally symmetric active regions temperature variations in the stratosphere that descend downward. Here we investigate the QBO‐induced temperature anomalies in the tropical tropopause layer (TTL) and detect pronounced Supporting Information: longitudinal variations of the signal. In addition, the QBO temperature anomalies show a strong seasonal • Supporting Information S1 variability. The magnitude of these seasonal and longitudinal QBO variations is comparable to the magnitude of the well‐known zonal mean QBO signal in the TTL. At the cold point tropopause, the strongest Correspondence to: QBO variations of around ±1.6 K are found over regions of active convection such as the West Pacific S. Tegtmeier, and Africa during boreal winter. The weakest QBO variations of ±0.25 K are detected over the East Pacific [email protected] during boreal summer, while the zonal mean signal ranges around ±0.7 K. -
Changes in Snow, Ice and Permafrost Across Canada
CHAPTER 5 Changes in Snow, Ice, and Permafrost Across Canada CANADA’S CHANGING CLIMATE REPORT CANADA’S CHANGING CLIMATE REPORT 195 Authors Chris Derksen, Environment and Climate Change Canada David Burgess, Natural Resources Canada Claude Duguay, University of Waterloo Stephen Howell, Environment and Climate Change Canada Lawrence Mudryk, Environment and Climate Change Canada Sharon Smith, Natural Resources Canada Chad Thackeray, University of California at Los Angeles Megan Kirchmeier-Young, Environment and Climate Change Canada Acknowledgements Recommended citation: Derksen, C., Burgess, D., Duguay, C., Howell, S., Mudryk, L., Smith, S., Thackeray, C. and Kirchmeier-Young, M. (2019): Changes in snow, ice, and permafrost across Canada; Chapter 5 in Can- ada’s Changing Climate Report, (ed.) E. Bush and D.S. Lemmen; Govern- ment of Canada, Ottawa, Ontario, p.194–260. CANADA’S CHANGING CLIMATE REPORT 196 Chapter Table Of Contents DEFINITIONS CHAPTER KEY MESSAGES (BY SECTION) SUMMARY 5.1: Introduction 5.2: Snow cover 5.2.1: Observed changes in snow cover 5.2.2: Projected changes in snow cover 5.3: Sea ice 5.3.1: Observed changes in sea ice Box 5.1: The influence of human-induced climate change on extreme low Arctic sea ice extent in 2012 5.3.2: Projected changes in sea ice FAQ 5.1: Where will the last sea ice area be in the Arctic? 5.4: Glaciers and ice caps 5.4.1: Observed changes in glaciers and ice caps 5.4.2: Projected changes in glaciers and ice caps 5.5: Lake and river ice 5.5.1: Observed changes in lake and river ice 5.5.2: Projected changes in lake and river ice 5.6: Permafrost 5.6.1: Observed changes in permafrost 5.6.2: Projected changes in permafrost 5.7: Discussion This chapter presents evidence that snow, ice, and permafrost are changing across Canada because of increasing temperatures and changes in precipitation.