Ju JOURNAL of the ATMOSPHERIC SCIENCES
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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. -
Andrew J. Elmore I. Education II. Professional Experience III. Research
Andrew J. Elmore Associate Professor University of Maryland Center for Environmental Science http://www.umces.edu/al Appalachian Laboratory Tel: (301) 689-7124 301 Braddock Road Fax: (301) 689-7200 Frostburg, MD 21532 [email protected] I. Education 1997 B. Sc., Purdue University, Applied Physics 1999 M. Sc., Brown University, Geological Sciences 2003 Ph. D., Brown University, Geological Sciences II. Professional Experience 2003-2004 Postdoctoral Research Associate, Carnegie Institution for Science, Stanford, CA 2004-2005 Senior Research Associate, Dartmouth College, Hanover, NH 2005-2006 Research Assistant Professor, Dartmouth College, Hanover, NH 2006-2012 Assistant Professor, UMCES Appalachian Laboratory, Frostburg, MD 2012-present Associate Professor, UMCES Appalachian Laboratory, Frostburg, MD III. Research A. Area of professional expertise Applications of remote sensing time series to scientific questions at the interface of ecology, geology, and the human sciences. Particular emphasis has been placed on understanding (1) the impact of water resource use and climate variability on arid and semi-arid ecosystem functioning and services; (2) the impact of urbanization on hydrologic and biologic resources in temperate forests; and (3) landscape pattern in the response of ecosystems to climate change and variability. B. Publications 1. Peer-reviewed publications Elmore, AJ, JP Julian, SM Guinn, MC Fitzpatrick (2013) Potential stream density in mid- Atlantic U.S. watersheds. PLOS One, 8(8):e74819:1-15 Vest, KR, AJ Elmore, JM Kaste, GS Okin, Junran Li (2013) Estimating Total Horizontal Flux within shrub-invaded groundwater dependent meadows using empirical and mechanistic models. JGR-Earth Surface, 118:1132-1146 Craine, JM, N Fierer, KK McLauchlan, and AJ Elmore. -
Books and Monographs Refereed Journal Articles
Books and monographs Keim, B.D., and R.A. Muller. 2009. Hurricanes of the Gulf of Mexico. Louisiana State University Press: Baton Rouge, Louisiana, 232 pp. Zielinski, G.A., and B.D. Keim. 2003. New England Weather, New England Climate. University Press of New England: Hanover, New Hampshire, 296 pp. Faiers, G.E., B.D. Keim, and R.A. Muller. 1997. Rainfall Frequency/Magnitude Atlas for the South-Central United States. Geoscience Publications: Baton Rouge, Louisiana, 40 pp. Refereed Journal Articles 62. Lewis, A.B., and B.D. Keim. In Press. History and Applications of Manual Synoptic Classification. Earth Systems and Environmental Sciences. 61. Needham, H.F., B.D.Keim, and D. Sathiaraj. In Press. A Review of Tropical Cyclone- Generated Storm Surges: Global Data Sources, Observations and Impacts. Reviews of Geophysics. 60. Powell, E.J., and B.D. Keim. 2015. Trends in Daily Temperature and Precipitation Extremes for the Southeastern United States: 1948-2012. Journal of Climate 28:1592-1612. DOI: http://dx.doi.org/10.1175/JCLI-D-14-00410.1 59. Lewis, A.B., and B.D. Keim. In Press (available online). A Hybrid Procedure for Classifying Synoptic Weather Types for Louisiana. International Journal of Climatology. DOI: 10.1002/joc.4283 58. Allard, J.M., C.R. Thompson, and B.D. Keim. 2015. How Robust is the Pre-1931 National Climatic Data Center - Climate Divisional Dataset? Examples from Georgia and Louisiana. Theoretical and Applied Climatology 120(1-2):323-330. DOI 10.1007/s007. 57. Needham, H.F., and B.D. Keim. 2014. Correlating Storm Surge Heights with Tropical Cyclone Winds at and before Landfall. -
Patricia M. Parker (Née Lawston), Ph.D
Patricia M. Parker (née Lawston), Ph.D. Assistant Research Scientist (effective 07/01/2020) Postdoctoral Research Associate Earth System Science Interdisciplinary Center (ESSIC), University of Maryland NASA Goddard Space FliGht Center Code 617.0, BldG 33, Room H104 Greenbelt, MD 20771 Email: [email protected]; Tel: 301-614-5319 EDUCATION 2017 Ph.D. ClimatoloGy, University of Delaware, Newark, DE 2013 M.S. GeoGraphy, University of Delaware, Newark, DE 2010 B.S. MeteoroloGy, Mathematics minor, Millersville University, Millersville, PA PROFESSIONAL APPOINTMENTS 7/2020–Present Assistant Research Scientist, Earth System Science Interdisciplinary Center (ESSIC) at NASA Goddard Space FliGht Center 1/2017–7/2020 Postdoctoral Associate, Earth System Science Interdisciplinary Center (ESSIC) at NASA Goddard Space FliGht Center PEER-REVIEWED PUBLICATIONS In Review (2020 expected) Shepherd, M., A. Thomas, J.A. Santanello, P.M. Lawston, J. Yoo: Warm core structure maintenance over land: A case study analysis of Cyclone Kelvin. Submitted to Journal of Southern Hemisphere Earth Systems Science 6/11/19 (preparinG for 2nd review). (2020 expected) Yoo, J., J. A. Santanello, M. Shepherd, S. V. Kumar, P. M. Lawston, A. M. Thomas: Quantification of the Land Surface and Brown Ocean Influence on Tropical Cyclone Intensification over Land. Submitted to Journal of Hydrometeorology 9/13/19 (under 3rd review). (2020 expected) Shellito, P. J., S. V. Kumar, J. A. Santanello, P. M. Lawston Parker, John D. Bolten, Michael H. Cosh, David D. Bosch, Chandra D. Holifield Collins, Stan LivinGston, John Prueger, Mark Seyfried, Patrick J. Starks: AssessinG the Impact of Soil Layer Specification on the Observability of Modeled Soil Moisture and BriGhtness Temperature. -
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). -
Simulating the Effects of Irrigation Over the U.S. in a Land Surface Model
Simulating the Effects of Irrigation over the U.S. in a Land Surface Model Based on Satellite Derived Agricultural Data 2 2,3 2 Mutlu Ozdogan ' *, Matthew Rodell , Hiroko Kato Beaudoing , and David L. Toll *corresponding author 'Center for Sustainability and the Global Environment (SAGE) University of Wisconsin Madison, WI, 53706 [email protected] 2Hydrological Sciences Branch NASA Goddard Space Flight Center Greenbelt, MD 20771 ³Earth System Science Interdisciplinary Center (ESSIC) University of Maryland College Park, MD 20742 submitted to Journal of Hydrometeorology April 2009 Abstract A novel method is introduced for integrating satellite derived irrigation data and high-resolution crop type information into a land surface model (LSM). The objective is to improve the simulation of land surface states and fluxes through better representation of agricultural land use. Ultimately, this scheme could enable numerical weather prediction (NWP) models to capture land-atmosphere feedbacks in managed lands more accurately and thus improve forecast skill. Here we show that application of the new irrigation scheme over the continental US significantly influences the surface water and energy balances by modulating the partitioning of water between the surface and the atmosphere. In our experiment, irrigation caused a 12 % increase in evapotranspiration (QLE) and an equivalent reduction in the sensible heat flux (QH) averaged over all irrigated areas in the continental US during the 2003 growing season. Local effects were more extreme: irrigation shifted more than 100 W/m² from QH to QLE in many locations in California, eastern Idaho, southern Washington, and southern Colorado during peak crop growth. In these cases, the changes in ground heat flux (QG), net radiation (RNET), evapotranspiration (ET), runoff (R), and soil moisture (SM) were more than 3 W/m ², 20 W/m², 5 mm/day, 0.3 mm/day, and 100 mm, respectively. -
Curriculum Vitae
CURRICULUM VITAE CLIFFORD F. MASS Updated: 04/30/2021 Personal Data Address: Department of Atmospheric Sciences, Box 351640 University of Washington Seattle, Washington 98195 [email protected] (206) 685-0910 Education B.S., Cornell University 1974 Major - Physics Ph.D., University of Washington 1978 Atmospheric Sciences Doctoral Thesis: "A Numerical and Observational Study of African Wave Disturbances." J. R. Holton, adviser. Professional Experience Mid 1981 to Assistant, Associate Professor, and Professor, Department of present Atmospheric Sciences, University of Washington. 1978 to mid Assistant Professor, Department of Meteorology, University of 1981 Maryland. Books The Weather of the Pacific Northwest, University of Washington Press The Secrets of Weather Prediction, in preparation. Mass, C., D. Ovens, R. Conrick, and J. Saltenberger, 2021: The 2020 Labor Day wildfires over the Pacific Northwest. Wea. Forecasting. In review. Mass, C., E. Salathe, R. Steed, and J. Baars, 2021: Analysis of the Mesoscale Response to Global Warming over the Pacific Northwes Using a Regional CliMate Model EnseMble. J. AtMos. Sci. In review Weber, N., D. Kim, and C. Mass, 2020: Convectively coupled Kelvin waves in a global convection- permitting model. J. Atmos. Sci,. 78, 1039-1055 Weber, N. J., C. F. Mass, and D. KiM, 2020: The iMpacts of horizontal grid spacing and cumulus paraMeterization on subseasonal prediction in a global convection-permitting model. Mon. Wea. Rev., Accepted for publication. doi: https://doi.org/10.1175/MWR-D-20-0171.1. McClung, B., and C. F. Mass, 2020: The strong, dry winds of Central and Northern California: cliMatology and synoptic evolution. Wea. Forecasting, 35, 2163–2178 Mass, C. -
Missiontoplanetearthera
the Eart System inthe Missionto PlanetEarthEra July 1993 (NASA-TM-I09892) MODELING THE EARTH SYSTEM IN THE MISSION TO N94-36827 PLANET EARTH ERA (NASA) 140 p Unclas G3/43 0019825 Preparedby Sushel Unninayar Kenneth H. Bergman d Table of Contents Secaon eagt Foreword .................................................................................................................................................................................. iv Executive Summary ................................................................................................................................................................. v 1. Introduction: The Global System ................................................................................................................................... 1 2. Time Scales of Fluctuation and Change ......................................................................................................................... 2 1 Modeling the Global Earth System ................................................................................................................................. 5 3.1. Types of Global System Models .................................................................................................................... 6 3.1.1. Radiative-Convective Models (RCMs) ........................................................................................................ 7 3.1.2. Energy Balance Models (EBMs) ................................................................................................................ -
Daniel J. Mcevoy Assistant Research Professor, Climatology, Regional
Daniel J. McEvoy Assistant Research Professor, Climatology, Regional Climatologist Western Regional Climate Center, Desert Research Institute 2215 Raggio Parkway, Reno, NV 89523 [email protected] phone: (775) 673-7682 Professional Interests Interdisciplinary research in climate, hydrology, and meteorology; hydroclimatolgy research and data applications in the western US with a focus on drought monitoring, climate-wildfire connections, and subseasonal-to-seasonal prediction. Graduate and Professional Experience 2017-present Assistant Research Professor, Climatology, Western Regional Climate Center/Desert Research Institute, Reno, NV 2015-2017 Postdoctoral Fellow in Applied Climatology, Western Regional Climate Center/Desert Research Institute, Reno, NV 2010 - 2015 Graduate Research Assistant, Desert Research Institute, Reno, NV, Advisor: John Mejia 2007 - 2009 Environmental Scientist, CDM Smith, Truckee, CA Education 2015 Ph.D., Atmospheric Science, University of Nevada, Reno, NV Dissertation: “Physically Based Evaporative Demand as a Drought Metric: Historical Analysis and Seasonal Prediction” 2012 M.S., Atmospheric Science, University of Nevada, Reno, NV Thesis: “An Evaluation of Multi-scalar Drought Indices in Nevada and Eastern California” 2005 B.S., Environmental Science, Plattsburgh State University of New York, Plattsburgh, NY Peer Reviewed Publications McCullum, A.J.K., McClellan, C., Daudert, B., Huntington, J., Green, R., Ly, V., Marley, A.R.G., Tulley, N.R., Morton, C., Hegewisch, K., C., Abatzoglou, J.T., McEvoy, D. J. (2021). Satellite-Based Drought Reporting on the Navajo Nation. Journal of the American Water Resources Association, 1-17, https://doi.org/10.1111/1752-1688.12909. Bhatt, U. S., Lader, R. T., Walsh, J. E., Bieniek, P. A., Thoman, R., Berman, M., ... & Ziel, R. (2021). Emerging Anthropogenic Influences on the Southcentral Alaska Temperature and Precipitation Extremes and Related Fires in 2019. -
Guidelines on Ensemble Prediction System Postprocessing
Guidelines on Ensemble Prediction System Postprocessing 2021 edition WEATHER CLIMATE WATER CLIMATE WEATHER WMO-No. 1254 Guidelines on Ensemble Prediction System Postprocessing 2021 edition WMO-No. 1254 WMO-No. 1254 © World Meteorological Organization, 2021 The right of publication in print, electronic and any other form and in any language is reserved by WMO. Short extracts from WMO publications may be reproduced without authorization, provided that the complete source is clearly indicated. Editorial correspondence and requests to publish, reproduce or translate this publication in part or in whole should be addressed to: Chair, Publications Board World Meteorological Organization (WMO) 7 bis, avenue de la Paix Tel.: +41 (0) 22 730 84 03 P.O. Box 2300 Fax: +41 (0) 22 730 81 17 CH-1211 Geneva 2, Switzerland Email: [email protected] ISBN 978-92-63-11254-5 NOTE The designations employed in WMO publications and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of WMO concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products does not imply that they are endorsed or recommended by WMO in preference to others of a similar nature which are not mentioned or advertised. PUBLICATION REVISION TRACK RECORD Part/chapter/ Date Purpose of amendment Proposed by Approved by section CONTENTS Page ACKNOWLEDGEMENTS . vii EXECUTIVE SUMMARY . viii KEY RECOMMENDATIONS . ix CHAPTER 1 . INTRODUCTION . 1 CHAPTER 2 . PHYSICAL POSTPROCESSING . 5 2.1 Meteorological diagnostic information. -
Curriculum Vita David A. R. Kristovich, Ph.D. Adjunct Assoc
Curriculum Vita David A. R. Kristovich, Ph.D. 9 March 2020 Adjunct Assoc. Professor Head & Senior Scientist Editor-in-Chief Department of Atmos. Sciences Climate and Atmospheric Sciences Journal of Applied Meteor. & Clim. University of Illinois ISWS, Prairie Research Institute American Meteorological Society University of Illinois (217) 333-7399, [email protected] Scientific Interests My research falls within the intersections of the fields of boundary layer meteorology, mesoscale meteorology, and cloud/precipitation microphysics. My overall interest is in understanding how local variations in the earth's surface alter low-level atmospheric flow fields and, ultimately, change larger-scale weather conditions. Much of my work has been on weather and climate in the Great Lakes region. My research group has collected and/or analyzed field data taken in and around wintertime lake-effect snow storms, and examined microphysical changes due to blowing snow in Wyoming, atmospheric drainage flows in stable boundary layers in Illinois, frontal systems over the ocean near Ireland, and intense convective storms in Florida. We have also conducted collaborative studies on many of these topics using mesoscale numerical models. Other areas of interest include lake- and sea-breezes, near-shore thunderstorms, urban circulations and climate impacts on renewable energy. Academic Background Ph.D. Cloud Physics/Meteorology, Dept. Geophys. Sci., The University of Chicago, Chicago, IL, 1991. The three-dimensional flow fields of boundary layer rolls observed during lake-effect snow storms, 182 pp. Research advisor: Dr. Roscoe R. Braham, Jr. S.M. Cloud Physics/Meteorology, Dept. Geophys. Sci., The University of Chicago, Chicago, IL 1988. Reflectivity profiles and core characteristics along horizontal roll convection in lake-effect snowstorms, 78 pp. -
Causal Networks of Biosphere–Atmosphere Interactions Christopher Krich1,2, Jakob Runge3, Diego G
https://doi.org/10.5194/bg-2019-297 Preprint. Discussion started: 13 August 2019 c Author(s) 2019. CC BY 4.0 License. Causal networks of biosphere–atmosphere interactions Christopher Krich1,2, Jakob Runge3, Diego G. Miralles2, Mirco Migliavacca1, Oscar Perez-Priego1, Tarek El-Madany1, Arnaud Carrara4, and Miguel D. Mahecha1,5 1Max Planck Institute for Biogeochemistry, 07745 Jena,Germany 2Laboratory of Hydrology and Water Management, Ghent University, Ghent 9000, Belgium 3German Aerospace Center, Institute of Data Science, 07745, Jena, Germany 4Fundación Centro de Estudios Ambientales del Mediterráneo (CEAM), 46980 Paterna, Spain 5German Centre for Integrative Biodiversity Research (iDiv), Deutscher Platz 5e, 04103 Leipzig, Germany Correspondence: Christopher Krich ([email protected]) 1 https://doi.org/10.5194/bg-2019-297 Preprint. Discussion started: 13 August 2019 c Author(s) 2019. CC BY 4.0 License. Abstract. Local meteorological conditions and biospheric activity are tightly coupled. Understanding these links is an essential prerequisite for predicting the Earth system under climate change conditions. However, many empirical studies on the interac- tion between the biosphere and the atmosphere are based on correlative approaches that are not able to deduce causal paths, and only very few studies apply causal discovery methods. Here, we use a recently proposed causal graph discovery algorithm, 5 which aims to reconstruct the causal dependency structure underlying a set of time series. We explore the potential of this method to infer