H51G:
Drought Process and Prediction: Vulnerability, Hazard, and Risk Posters


Submit an Abstract to this Session


Session ID#: 50002

Session Description:
Drought can develop and intensify in a short amount of time and result in major agricultural losses if they are not predicted and detected in a timely manner. Understanding drought mechanisms, frequency and severity, and generating reliable prediction on subseasonal to seasonal (S2S) timescales are of critical importance for impact assessment, disaster mitigation, and loss prevention. Furthermore, quantifying socioeconomic vulnerability to drought and assessing drought termination and recovery are crucial for implementing proactive drought risk management strategies. This session invites contributions from all aspects of drought monitoring, diagnosis, and prediction, including (1) understanding the physical mechanism and manifestation of drought events on shorter timescales, (2) S2S predictability of dynamic models and statistical methods in drought detection, (3) probabilistic and deterministic drought recovery modeling and forecasting, (4) estimation of S2S drought frequency, spatial patterns, and variability, and (5) diagnosis and attribution of socioeconomic drought vulnerability and risk.
Primary Convener:  L. Gwen Chen, NOAA/NWS/NCEP Environmental Modeling Center, College Park, United States
Conveners:  Lifeng Luo, Michigan State University, Department of Geography, Environment, and Spatial Sciences, East Lansing, MI, United States, Hamid Moradkhani, The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, AL, United States and Ali Ahmadalipour, University of Alabama, Tuscaloosa, AL, United States
Primary Liaison:  Lifeng Luo, Michigan State University, Department of Geography, Environment, and Spatial Sciences, East Lansing, MI, United States
Chairs:  Ali Ahmadalipour, University of Alabama, Tuscaloosa, AL, United States, Hamid Moradkhani, The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, AL, United States, Lifeng Luo, Michigan State University, Department of Geography, Environment, and Spatial Sciences, East Lansing, MI, United States and L. Gwen Chen, NOAA/NWS/NCEP Environmental Modeling Center, College Park, United States
OSPA Liaison:  Ali Ahmadalipour, University of Alabama, Tuscaloosa, AL, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • NH - Natural Hazards
Index Terms:

Abstracts Submitted to this Session:

Muthuvel Chelliah, Climate Prediction Center College Park, College Park, MD, United States, David Miskus, NOAA, Climate Prediction Center, College Park, MD, United States and Jon Gottschalck, NOAA, Climate Prediction Center, Washington, DC, United States
Bohua Huang1, Chul-Su Shin1, Paul Dirmeyer2 and Arun Kumar3, (1)George Mason University Fairfax, Fairfax, VA, United States, (2)George Mason University Fairfax, Atmospheric, Oceanic & Earth Sciences Department, Fairfax, VA, United States, (3)NOAA/NCEP Climate Prediction Center, College Park, MD, United States
Jiexia Wu, George Mason University Fairfax, Fairfax, VA, United States and Paul Dirmeyer, COLA, Fairfax, United States
Lieke Anna Melsen, Wageningen University and Research Center, Wageningen, Netherlands and Björn Guse, Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences, Hydrology, Potsdam, Germany
Jesse Meng1, Youlong Xia2, Helin Wei3, John S Kain4, Jiarui Dong5, Weizhong Zheng6, Yihua Wu2, Rongqian Yang7, Roshan K Shrestha8, Anil Kumar9, Anil Kumar10 and Michael B Ek11, (1)IMSG, NCEP/EMC, College Park, MD, United States, (2)Environmental Modeling Center, College Park, MD, United States, (3)NOAA/NWS/NCEP/EMC, College Park, United States, (4)National Weather Center, College Park, MD, United States, (5)NOAA/NWS/NCEP, College Park, United States, (6)Lynker at NOAA/NCEP/EMC, College Park, United States, (7)National Centers For Environmental Prediction-Environmental Modeling Center, College Park, MD, United States, (8)Environmental Modeling Center, NCEP, NOAA, College Park, MD, United States, (9)Earth System Science Interdisciplinary Center, COLLEGE PARK, MD, United States, (10)NOAA EPIC, College Park, United States, (11)NSF NCAR, Boulder, United States
Ying Wang, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Lanzhou, China
Behzad Ahmadi, Portland State University, Portland, OR, United States, Ali Ahmadalipour, University of Alabama, Tuscaloosa, AL, United States and Hamid Moradkhani, The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, AL, United States
Gay Jane P Perez, University of the Philippines Diliman, Institute of Environmental Science and Meteorology, Quezon City, Philippines
L. Gwen Chen1, Jon Gottschalck2, Richard Tinker3, Adam Hartman4, David Miskus5 and Anthony Artusa3, (1)University of Maryland College Park, College Park, MD, United States, (2)NOAA, Climate Prediction Center, Washington, DC, United States, (3)Climate Prediction Center/NCEP, College Park, MD, United States, (4)Innovim, LLC, Greenbelt, MD, United States, (5)NOAA, Climate Prediction Center, College Park, MD, United States
Won-Ho Nam, Hankyong National University, School of Social Safety and Systems Engineering, Anseong, South Korea, Song Feng, University of Arkansas, Fayetteville, AR, United States, Michael J Hayes, University of Nebraska-Lincoln, School of Natural Resources, Lincoln, United States, Mark D. Svoboda, University of Nebraska-Lincoln, National Drought Mitigation Center, Lincoln, United States, Brian Fuchs, University of Nebraska-Lincoln, National Drought Mitigation Center, Lincoln, NE, United States, Eun-Mi Hong, Kangwon National University, School of Natural Resources and Environmental Science, Chuncheon, South Korea, Taegon Kim, University of Minnesota Twin Cities, Department of Bioproducts and Biosystems Engineering, St. Paul, MN, United States and Chang-Hoi Ho, Seoul National University, School of Earth and Environmental Sciences, Seoul, South Korea
Yi Liu1, Liliang Ren1 and Ye Zhu2, (1)Hohai University, Nanjing, China, (2)Nanjing University of Information Science and Technology, Nanjing, China
Glenn A Tootle1, Matt Therrell2, Jonghun Kam2, Dr. Emily A Elliott3, Bennett L Bearden2 and Sahar Sadeghi2, (1)University of Alabama, Department of Civil, Construction, and Environmental Engineering, Tuscaloosa, AL, United States, (2)University of Alabama, Tuscaloosa, AL, United States, (3)University of Alabama, New College & Department of Geography and the Environment, Tuscaloosa, AL, United States
Yuhei Takaya, Meteorological Research Institute, Department of Atmosphere, Ocean, and Earth System Modeling Research, Ibaraki, Japan and Munehiko Yamaguchi, Meteorological Research Institute, Ibaraki, Japan
Zengchao Hao1, Xinying Wu1, Xiaogang He2, Xuan Zhang3 and Fanghua Hao1, (1)Beijing Normal University, Beijing, China, (2)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (3)Beijing Normal University, College of Water Sciences, Beijing, China
Rene Orth, Max Planck Institute for Biogeochemistry, Department Biogeochemical Integration, Jena, Germany; Stockholm University, Department of Physical Geography & Bolin Centre for Climate Research, SE-10691 Stockholm, Sweden and Georgia Destouni, KTH Royal Institute of Technology, Sustainable Development, Environmental Science and Engineering, Stockholm, Sweden
Tao Yang1, Jinzhi Ding2, Dan Liu2, Xiaoyi Wang3 and Tao Wang2, (1)ITP Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China, (2)Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China, (3)Institute of Tibetan Plateau, Chinese Academy of Sciences, Beijing, China
Li Yaohui and Yiping Li, Lanzhou Institute of Arid Meteorology of China Meteorological Administration, Lanzhou, China

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