DOCSLIB.ORG

Publications (2013-2015)

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Publications (2013-2015) Publications (2013-2015) Andric, J. , M. R. Kumjian, D. S. Zrnic, J. M. Straka, V. M. Melnikov, 2013: Polarimetric signatures above the melting layer in winter storms: an observational and modeling study. Journal of Applied Meteorology and Climatology, 52, 682–700. Berkowitz, D. S., J. A. Schultz, S. Vasiloff, K. L. Elmore, D. D. Payne, J. B. Boettcher, 2013: Status of Dual Pol QPE in the WSR-88D Network. Extended Abstracts, 27th Conference on Hydrology, Austin, TX, USA, American Meteorological Society, CD-ROM, 2.2. Bluestein, H. B., R. M. Rauber, D. W. Burgess, B. Albrecht, S. M. Ellis, Y. P. Richardson, D. P. Jorgensen, S. J. Frasier, P. Chilson, R. D. Palmer, S. E. Yuter, W. C. Lee, D. C. Dowell, P. L. Smith, P. M. Markowski, K. Friedrich, T. M. Weckwerth, 2014: Radar in atmospheric sciences and related research: Current systems, emerging technology, and future needs. Bulletin of the American Meteorological Society, 95, 1850–1861, doi:http://dx.doi.org/10.1175/BAMS-D-13- 00079.1. Blumberg, W. G., D. D. Turner, U. Loehnert, S. Castleberry, 2015: Ground-Based Temperature and Humidity Profiling Using Spectral Infrared and Microwave Observations. Part II: Actual Retrieval Performance in Clear-Sky and Cloudy Conditions. Journal of Applied Meteorology and Climatology, 54, 2305–2319, doi:10.1175/JAMC-D-15-0005.1. Bodine, D. , M. Kumjian, R. Palmer, P. Heinselman, A. Ryzhkov, 2013: Tornado Damage Estimation Using Polarimetric Radar. Weather and Forecasting, 28, 139–158. Bowden, K. A., P. L. Heinselman, D. M. Kingfield, R. P. Thomas, 2015: Impacts of phased- array radar data on forecaster performance during severe hail and wind events. Weather and Forecasting, 30, 389–404, doi:10.1175/WAF-D-14-00101.1. Bruning, E. C., S. A. Weiss, K. M. Calhoun, 2014: Continuous variability in thunderstorm primary electrification and an evaluation of inverted-polarity terminology. Atmospheric Research, 135-136, 274–284, doi:http://dx.doi.org/10.1016/j.atmosres.2012.10.009. Bukovcic, P. , D. Zrnic, G. Zhang, 2015: Convective–stratiform separation using video disdrometer observations in central Oklahoma – the Bayesian approach. Atmospheric Research, 155, 176–191. Burgess, D. W., K. Ortega, G. Stumpf, G. Garfield, C. Karstens, T. Meyer, B. Smith, D. Speheger, J. LaDue, R. Smith, T. Marshall, 2014: 20 May 2013 Moore, Oklahoma, Tornado: Damage Survey and Analysis. Weather and Forecasting, 29, 1229–1237, doi:10.1175/WAF-D- 14-00039.1. Burgess, D. W., K. L. Ortega, V. T. Wood, V. M. Melnikov, 2014: Radar estimated winds for the 20 May 2013 Moore, Oklahoma tornado. Extended Abstracts, 27th Conference on Severe Local Storms, Madison, WI, USA, AMS, 11A.4. Calhoun, K. M., D. R. MacGorman, C. L. Ziegler, M. I. Biggerstaff, 2013: Evolution of Lightning Activity and Storm Charge Relative to Dual-Doppler Analysis of a High-Precipitation Supercell Storm. Monthly Weather Review, 141, 2199–2223, doi:http://dx.doi.org/10.1175/MWR-D-12-00258.1. Calhoun, K. M., E. R. Mansell, D. R. MacGorman, D. C. Dowell, 2014: Numerical Simulations of Lightning and Storm Charge of the 29-30 May 2004 Geary, Oklahoma, Supercell Thunderstorm Using EnKF Mobile Radar Data Assimilation. Monthly Weather Review, 142, 3977–3997, doi:10.1175/MWR-D-13-00403.1. Calhoun, K. M., T. M. Smith, D. M. Kingfield, J. Gao, D. J. Stensrud, 2014: Forecaster Use and Evaluation of real-time 3DVAR analyses during Severe Thunderstorm and Tornado Warning Operations in the Hazardous Weather Testbed. Weather and Forecasting, 29, 601–613, doi:10.1175/WAF-D-13-00107.1. Cao, Q. , Y. Hong, J. J. Gourley, Y. Qi, J. Zhang, Y. Wen, P. E. Kirstetter, 2013: Statistical and physical analysis of the vertical structure of precipitation in mountainous west region of the United States using 11+ years of spaceborne observations from TRMM precipitation radar. Journal of Applied Meteorology and Climatology, 52, 408–424, doi:10.1175/JAMC-D-12-095.1. Cao, Q. , Y. Hong, Y. Qi, Y. Wen, J. Zhang, J. J. Gourley, L. Liao, 2013: Empirical conversion of the vertical profile of reflectivity from Ku-band to S-band frequency. Journal of Geophysical Research, 118, 1814–1825, doi:10.1002/jgrd.50138. Chen, S. , J. J. Gourley, Y. Hong, P. E. Kirstetter, J. Zhang, K. W. Howard, Z. L. Flamig, J. Hu, Y. Qi, 2013: Evaluation and uncertainty estimation of NOAA/NSSL next-generation National Mosaic Quantitative Precipitation Estimation product (Q2) over the Continental United States. Journal of Hydrometeorology, 14, 1308–1322, doi:10.1175/JHM-D-12-0150.1. Chen, S. , Y. Hong, Q. Cao, P. E. Kirstetter, J. J. Gourley, Y. Qi, J. Zhang, K. W. Howard, J. Hu, J. Wang, 2013: Performance evaluation of radar and satellite rainfalls for Typhoon Morakot over Taiwan: Are remote-sensing products ready for gauge denial scenario of extreme events?. Journal of Hydrology, 506, 4–13, doi:10.1016/j.jhydrol.2012.12.026. Chen, S. , P. E. Kirstetter, Y. Hong, J. J. Gourley, Y. Tian, Y. Qi, Q. Cao, J. Zhang, K. W. Howard, J. Hu, X. Xue, 2013: Evaluation of spatial errors of precipitation rates and types from TRMM spaceborne radar over the southern CONUS. Journal of Hydrometeorology, 14, 1884– 1896, doi:10.1175/JHM-D-13-027.1. Cintineo, R. M., D. J. Stensrud, 2013: On the predictability of supercell thunderstorm evolution. Journal of the Atmospheric Sciences, 70, 1993–2011, doi:10.1175/JAS-D-12-0166.1. Clark, A. J., J. Gao, P. T. Marsh, T. Smith, J. S. Kain, J. Correia, M. Xue, F. Kong, 2013: Tornado path length forecasts from 2010-2011 using ensmble updraft helicity. Weather and Forecasting, 28, 387–407. Clark, A. J., R. G. Bullock, T. L. Jensen, M. Xue, F. Kong, 2014: Application of Object-based Time-Domain Diagnostics for Tracking Precipitation Systems in Convection-allowing Models. Weather and Forecasting, 29, 517–542. Clark, R. A., J. J. Gourley, Z. L. Flamig, Y. Hong, E. Clark, 2014: CONUS-wide evaluation of National Weather Service flash flood guidance products. Weather and Forecasting, 29, 377–392, doi:10.1175/WAF-D-12-00124.1. Coffer, B. E., L. C. Maudlin, P. G. Veals, A. J. Clark, 2013: Dryline position errors in experimental convection-allowing NSSL-WRF Model forecasts and the operational NAM. Weather and Forecasting, 28, 746–761. Coniglio, M. C., J. Correia, P. T. Marsh, F. Kong, 2013: Verification of Convection-Allowing WRF Model Forecasts of the Planetary Boundary Layer using Sounding Observations. Weather and Forecasting, 28, 842–862, doi:dx.doi.org/10.1175/MWR-D-11-00026.1. Conrick, R. , H. D. Reeves, S. Zhong, 2015: The Dependence of QPF on the Choice of Boundary- and Surface-Layer Parameterization for a Lake-Effect Snowstorm. Journal of Applied Meteorology and Climatology, 54, 1177–1190, doi:10.1175/JAMC-D-14.0291.1. Curtis, C. D., S. M. Torres, 2013: Real-time measurement of the range correlation for range oversampling processing. Journal of Atmospheric and Oceanic Technology, 30, 2885–2895, doi:10.1175/JTECH-D-13-00090.1. Curtis, C. D., S. M. Torres, 2013: Improving the Quality of Dual Polarization Estimates Using Adaptive Pseudowhitening. Extended Abstracts, 36th Conference on Radar Meteorology, Breckenridge, CO, USA, Amer. Meteor. Soc., 4B.6. Curtis, C. D., B. M. Isom, 2014: The Effects of Interference on NEXRAD: A Requirements- Based Approach. NSSL Report, 1, National Severe Storms Laboratory, Norman, OK, USA, 78 pp. Curtis, C. D., S. M. Torres, 2014: Adaptive Range Oversampling to Improve Estimates of Polarimetric Variables on Weather Radars. Journal of Atmospheric and Oceanic Technology, 31, 1853–1866, doi:http://dx.doi.org/10.1175/JTECH-D-13-00216.1. Curtis, C. D., 2014: Does ground clutter look different to a phased array?. Extended Abstracts, 30th Conference on Environmental Information Processing Technologies, Atlanta, GA, USA, Amer. Meteor. Soc., Paper 6.5. Dawson, D. T., L. J. Wicker, E. R. Mansell, Y. Jung, M. Xue, 2013: Low-Level Polarimetric Radar Signatures in EnKF Analyses and Forecasts of the May 8, 2003 Oklahoma City Tornadic Supercell: Impact of Multimoment Microphysics and Comparisons with Observation. Advances in Meteorology, 2013, 1–13, doi:10.1155/2013/818394. Dawson, D. T., E. R. Mansell, Y. Jung, L. J. Wicker, M. R. Kumjian, M. Xue, 2014: Low-Level ZDR Signatures in Supercell Forward Flanks: The Role of Size Sorting and Melting of Hail. Journal of the Atmospheric Sciences, 71, 276–299, doi:10.1175/JAS-D-13-0118.1. Diederich, M. , A. Ryzhkov, C. Simmer, P. Zhang, S. Tromel, 2015: Use of specific attenuation for rainfall measurement at X-band radar wavelengths. Part I: Radar calibration and partial beam blockage estimation. Journal of Hydrometeorology, 16, 487–502. Diederich, M. , A. Ryzhkov, C. Simmer, P. Zhang, S. Tromel, 2015: Use of specific attenuation for rainfall measurement at X-band radar wavelengths. Part II: Rainfall estimates and comparison with rain gauges. Journal of Hydrometeorology, 16, 503–516. Dresback, K. M., J. G. Fleming, B. O. Blanton, C. Kaiser, J. J. Gourley, E. M. Tromble, R. A. Luettich, R. L. Kolar, Y. Hong, S. Van Cooten, H. J. Vergara, Z. L. Flamig, H. M. Lander, K. E. Kelleher, K. L. Neumunatis-Monroe, 2013: Skill assessment of a real-time forecast system utilizing a coupled hydrologic and coastal hydrodynamic model during Hurricane Irene (2011). Continental Shelf Research, 71, 78–94, doi:10.1016/j.csr.2013.10.007. Elmore, K. L., Z. L. Flamig, V. Lakshmanan, B. T. Kaney, V. Farmer, H. D. Reeves, L. P. Rothfusz, 2014: MPING Crowd-Sourcing Weather Reports for Research. Bulletin of the American Meteorological Society, 95, 1335–1342. Elmore, K. L., H. M. Grams, D. Apps, H. D. Reeves, 2015: Verifying Forecast Precipitation Type with mPING.
Load more

Recommended publications
  • 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.
    [Show full text]
  • Curriculum Vitae ROBERT JEFFREY TRAPP Department of Atmospheric
    Curriculum Vitae ROBERT JEFFREY TRAPP Department of Atmospheric Sciences University of Illinois at Urbana-Champaign 105 S. Gregory Street Urbana, Illinois 61801 [email protected] EDUCATION The University of Oklahoma, Ph.D. in Meteorology, 1994 Dissertation: Numerical Simulation of the Genesis of Tornado-Like Vortices Principal Advisor: Prof. Brian H. Fiedler Texas A&M University, M.S. in Meteorology, 1989 Thesis: The Effects of Cloud Base Rotation on Microburst Dynamics-A Numerical Investigation Principal Advisor: Prof. P. Das University of Missouri-Columbia, B.S. in Agriculture/Atmospheric Science, 1985 APPOINTMENTS Professor, University of Illinois at Urbana-Champaign, Department of Atmospheric Sciences, August 2014-current. Professor, Department of Earth and Atmospheric Sciences, Purdue University, August 2010- July 2014. Associate Professor, Department of Earth and Atmospheric Sciences, Purdue University, August 2003-August 2010 Research Scientist, Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and National Severe Storms Laboratory, July 1996-July 2003 Visiting Scientist, National Center for Atmospheric Research, Mesoscale and Microscale Meteorology Division, August 1998-December 2002 National Research Council Postdoctoral Research Fellow, at the National Severe Storms Laboratory, July 1994-June 1996 GRANTS AND FUNDING Principal Investigator, Modulation of convective-draft characteristics and subsequent tornado intensity by the environmental wind and thermodynamics within the Southeast U.S, NOAA, $287,529, 2017-2019 (pending formal approval by NOAA Grants Officer). Principal Investigator, Collaborative Research: Remote sensing of electrictrification, lightning, and mesoscale/microscale processes with adaptive ground observations during RELMPAGO, NSF-AGS, $636,947, 2017-2021. Co-Principal Investigator, Remote sensing of electrification, lightning, and mesoscale/microscale processes with adaptive ground observations (RELMPAGO), NSF-AGS, $23,940, 2016–2017.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • What Even Is 'Climate'?
    Geosci. Commun. Discuss., https://doi.org/10.5194/gc-2018-11 Manuscript under review for journal Geosci. Commun. Discussion started: 13 July 2018 c Author(s) 2018. CC BY 4.0 License. What even is ‘Climate’? Oliver Bothe1 1Helmholtz-Zentrum Geesthacht, Institute of Coastal Research, Max-Planck-Strasse 1, 21502, Geesthacht, Germany Correspondence: Oliver Bothe ([email protected], [email protected]) Abstract. Although the concept of climate is easy to understand, there is not any uncontroversial definition of it. Most def- initions fall back to the simple formulation that ‘climate is the statistics of weather’. Recent attempts at a definition called versions of this saying vague. Climate is policy-relevant, and discussions on climate and climate change benefit from clarity on the topic. Beyond the policy relevance a definition should also be valid for scientific purposes and for individual views. It 5 has to account for a general concept and individual instances of climate. Here, I try to highlight why the flexibility and the immediacy of the colloquial definition fit the topic. This defence shifts the lack of a clear definition towards the term ‘weather’ and the time-scales separating weather and climate. 1 Introduction “Climate is what you expect, weather is what you get” (e.g., Geographical Association and London Geographical Institute, 10 1902; Lorenz, unpublished). Or: “Climate is the statistics of weather” (e.g., McBean et al., 1992; Easterling et al., 1999; Farmer, 2014; Molua and Lambi, 2007; von Storch, 2004; Roe and O’Neal, 2009; Roe, 2009). Public discourse and scientific literature frequently use versions of these colloquial sayings.
    [Show full text]
  • 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).
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Sensitivity of Cross-Tropopause Convective Transport to Tropopause Definition Emily Maddox
    University of North Dakota UND Scholarly Commons Theses and Dissertations Theses, Dissertations, and Senior Projects January 2017 Sensitivity Of Cross-Tropopause Convective Transport To Tropopause Definition Emily Maddox Follow this and additional works at: https://commons.und.edu/theses Recommended Citation Maddox, Emily, "Sensitivity Of Cross-Tropopause Convective Transport To Tropopause Definition" (2017). Theses and Dissertations. 2275. https://commons.und.edu/theses/2275 This Thesis is brought to you for free and open access by the Theses, Dissertations, and Senior Projects at UND Scholarly Commons. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of UND Scholarly Commons. For more information, please contact [email protected]. SENSITIVITY OF CROSS-TROPOPAUSE CONVECTIVE TRANSPORT TO TROPOPAUSE DEFINITION by Emily M. Maddox Bachelor of Science, University of North Dakota, 2015 A Thesis Submitted to the Graduate Faculty of the University of North Dakota in partial fulfillment of the requirements for the degree of Master of Science Grand Forks, North Dakota August 2017 Copyright 2017 Emily Maddox ii This thesis, submitted by Emily M. Maddox in partial fulfillment of the requirements for the Degree of Master of Science from the University of North Dakota, has been read by the Faculty Advisory Committee under whom the work has been done and is hereby approved. Dr. Gretchen Mullendore Dr. Baike Xi Dr. Cameron Homeyer This thesis is being submitted by the appointed advisory committee
    [Show full text]
  • Simulations of Bay of Bengal Tropical Cyclones in a Regional Convection-Permitting Atmosphere–Ocean Coupled Model
    https://doi.org/10.5194/wcd-2021-46 Preprint. Discussion started: 26 July 2021 c Author(s) 2021. CC BY 4.0 License. Simulations of Bay of Bengal tropical cyclones in a regional convection-permitting atmosphere–ocean coupled model Jennifer Saxby1, Julia Crook1, Simon Peatman1, Cathryn Birch1, Juliane Schwendike1, Maria Valdivieso da 5 Costa2, Juan Manuel Castillo Sanchez3, Chris Holloway2, Nicholas P. Klingaman2, Ashis Mitra4, Huw Lewis3 1School of Earth and Environment, University of Leeds, UK 2National Centre for Atmospheric Science and Department of Meteorology, University of Reading, UK 3Met Office, UK 10 4National Centre for Medium Range Weather Forecasting, India Correspondence to: Jennifer Saxby ([email protected]) 15 1 https://doi.org/10.5194/wcd-2021-46 Preprint. Discussion started: 26 July 2021 c Author(s) 2021. CC BY 4.0 License. Abstract. Tropical cyclones (TCs) in the Bay of Bengal can be extremely destructive when they make landfall in India and Bangladesh. Accurate prediction of their track and intensity is essential for disaster management. This study evaluates simulations of Bay of Bengal TCs using a regional convection-permitting atmosphere- ocean coupled model. The Met Office Unified Model atmosphere-only configuration (4.4 km horizontal grid 20 spacing) is compared with a configuration coupled to a three-dimensional dynamical ocean model (2.2 km horizontal grid spacing). Simulations of six TCs from 2016–2019 show that both configurations produce accurate TC tracks for lead times of up to 6 days before landfall. Both configurations underestimate high wind speeds and high rain rates, and overestimate low wind speeds and low rain rates.
    [Show full text]
  • Impact Factor Journals of Meteorology & Atmospheric Sciences
    Impact Factor Journals of Meteorology & Atmospheric Sciences Indexed in ISI Web of Science (JCR 2016) Compiled by: Arslan Sheikh In Charge Reference & Research Section Library Information Services COMSATS Institute of Information Technology Park Road, Islamabad-Pakistan. Cell No +92-0321-9423071 [email protected] Rank Journal Title ISSN Impact Factor 1 Nature Climate Change 1758-678X 19.304 2 BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY 0003-0007 7.281 3 Earth System Science Data 1866-3508 6.696 4 ATMOSPHERIC CHEMISTRY AND PHYSICS 1680-7316 5.318 5 Earths Future 2328-4277 4.938 6 GLOBAL BIOGEOCHEMICAL CYCLES 0886-6236 4.655 7 Wiley Interdisciplinary Reviews-Climate Change 1757-7780 4.571 8 Environmental Research Letters 1748-9326 4.404 9 Journal of Advances in Modeling Earth Systems 1942-2466 4.189 10 JOURNAL OF CLIMATE 0894-8755 4.161 11 CLIMATE DYNAMICS 0930-7575 4.146 12 AGRICULTURAL AND FOREST METEOROLOGY 0168-1923 3.887 13 ATMOSPHERIC RESEARCH 0169-8095 3.778 14 INTERNATIONAL JOURNAL OF CLIMATOLOGY 0899-8418 3.760 15 JOURNAL OF HYDROMETEOROLOGY 1525-755X 3.641 16 ATMOSPHERIC ENVIRONMENT 1352-2310 3.629 17 Climate of the Past 1814-9324 3.543 18 CLIMATIC CHANGE 0165-0009 3.496 19 JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 2169-897X 3.454 20 QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY 0035-9009 3.444 21 Journal of Operational Oceanography 1755-876X 3.342 22 OCEAN MODELLING 1463-5003 3.341 23 JOURNAL OF THE ATMOSPHERIC SCIENCES 0022-4928 3.207 24 Atmospheric Measurement Techniques 1867-1381 3.089 25 MONTHLY WEATHER
    [Show full text]
  • Wei Mei Curriculum Vitae
    Wei Mei Curriculum Vitae Contact Department of Marine Sciences E-mail: [email protected] Information University of North Carolina at Chapel Hill Phone: (919) 962-0173 3202 Venable and Murray Halls, CB 3300 Fax: (919) 962-1254 Chapel Hill, NC 27599-3300 Research Atmosphere, ocean and climate dynamics. Tropical cyclones and convection. Atmospheric Interests rivers. Ocean-atmosphere interactions. Global and regional climate variability and pre- dictability. Natural hazards and risk assessment. Appointment Department of Marine Sciences, University of North Carolina at Chapel Hill, NC Assistant Professor July 2016{present Education and Scripps Institution of Oceanography, University of California, San Diego, CA Training Postdoctoral Scholar December 2012{June 2016 Supervisor: Prof. Shang-Ping Xie University of California, Irvine, CA Ph.D. in Earth System Science (Specialty: Physical Climate), December 2012 Dissertation Title: Impacts of tropical cyclones on the upper-ocean heat content Dissertation Committee: Prof. Francois Primeau (UC Irvine; Chair) Prof. Gudrun Magnusdottir (UC Irvine) Prof. James C. McWilliams (UCLA) Prof. Claudia Pasquero (University of Milan, Italy) Prof. Jin-Yi Yu (UC Irvine) M.S. in Earth System Science, June 2009 Nanjing University, Nanjing, China M.S. in Meteorology, June 2007 Thesis Title: Submonthly variability over the East Asian summer monsoon region: A comparative study of South China and Central China Advisor: Prof. Xiu-Qun Yang B.S. in Atmospheric Sciences, June 2004 Refereed Kamae, Y., W. Mei, and S.-P. Xie, 2018: Ocean warming pattern effects on future changes Publications in East Asian atmospheric rivers. Environmental Research Letters, submitted. Zhang, J., Y. Lin, D. R. Chavas, and W. Mei, 2018: Tropical cyclone size determined from its induced cold wake.
    [Show full text]