NH008
Centennial Overview: Data science and the future of Natural Hazards Science
Session ID#: 79322
Session Description:
`Observing systems including satellites, global networks, unmanned vehicles, and other linked devices, have become increasingly abundant. This diversity of systems gives natural hazards scientists unprecedented amounts of data before, during and after hazardous events. Such data brings better understanding of the processes that govern the onset of natural hazards, and allows monitoring of the unfolding of natural hazards, but also results in abetter understanding of how hazard impacts can compound and cause cascading consequences. Hence, data science is dramatically changing natural hazard science. We invite contributions from all aspects of natural-hazards research applying data science to understand natural hazard events and hazards that have longer onsets. We welcome papers about studies that are part of the movement that is changing natural hazard science and contributing to the explosion of understanding of natural hazards and their impacts, and contributions that apply data science in new ways to natural hazards science.
Index Terms:
4313 Extreme events [NATURAL HAZARDS]
4314 Mathematical and computer modeling [NATURAL HAZARDS]
4318 Statistical analysis [NATURAL HAZARDS]
4339 Disaster mitigation [NATURAL HAZARDS]
Primary Convener: Robert Weiss, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
Conveners: John B Rundle, University of California Davis, Department of Earth and Planetary Sciences, Davis, CA, United States, Hui Tang, University of Arizona, Tucson, AZ, United States and James Neely, Northwestern University, Evanston, United States
Primary Liaison: Robert Weiss, Virginia Tech, Blacksburg, VA, United States
Earthquake and Tsunami Nowcasting and Forecasting Using Shannon Information Theory (488217)
John B Rundle, University of California Davis, Department of Earth and Planetary Sciences, Davis, CA, United States, Donald L Turcotte, Univ California, Earth and Planetary Sciences, Davis, CA, United States, James P Crutchfield, University of California Davis, Physics, Davis, CA, United States, Andrea Donnellan, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States and Kazuyoshi Nanjo, NIED, Tokyo, Japan
Natural time analysis of quasi-periodic caldera collapse events during the 2018 Kīlauea volcano eruptive sequence (509212)
Rebecca A Fildes1, Donald L Turcotte1 and John B Rundle1,2, (1)University of California Davis, Department of Earth and Planetary Sciences, Davis, CA, United States, (2)University of California Davis, Department of Physics, Davis, CA, United States
Deriving discharge thresholds for runoff-generated debris flow initiation using process-based modelling and machine learning methods (509469)
Hui Tang1, Luke McGuire2, Francis K Rengers3, Jason W Kean4, Dennis M Staley5, Martino Bernard6, Carlo Gregoretti6 and Joel Smith7, (1)Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Section 4.7 Earth Surface Process Modelling, Potsdam, Germany, (2)University of Arizona, Tucson, AZ, United States, (3)University of Colorado, Boulder, CO, United States, (4)USGS, Geologic Hazards Science Center, Golden, CO, United States, (5)USGS, Baltimore, MD, United States, (6)University of Padova, Department of Land, Environment, Agriculture, and Forestry, Padova, Italy, (7)U.S. Geological Survey, Denver, CO, United States
CHIMP - a shaking dataset for historical large earthquakes in California (519385)
Molly Margaret Gallahue1, Leah Salditch2, Susan Elizabeth Hough3, Seth Stein4, Bruce D. Spencer5, Edward Max Brooks6, James Neely7 and Madeleine Lucas2, (1)Northwestern University, Evanston, IL, United States, (2)Northwestern University, Earth and Planetary Sciences, Evanston, IL, United States, (3)USGS, Pasadena, CA, United States, (4)Northwestern Univ, Department of Earth & Planetary Sciences, Evanston, IL, United States, (5)Northwestern University, Department of Statistics and Institute for Policy Research, Evanston, IL, United States, (6)Northwestern University, Department of Earth and Planetary Sciences, Evanston, IL, United States, (7)Northwestern University, Evanston, United States
MyShake – Global Smartphone seismic network for earthquake hazards mitigation (530069)
Qingkai Kong, University of California Berkeley, Berkeley, CA, United States, Robert Martin-Short, Imperial College London, London, United Kingdom, Sarina Patel, Yosemite National Park, El Portal, CA, United States and Richard M Allen, Univ California Berkeley, Berkeley, CA, United States
How to advance the global modelling of tropical cyclone-generated storm surges? (Invited) (532745)
Sanne Muis1, Nadia Bloemendaal1, Ning Lin2, Inti Pelupessy3, Martin Verlaan4, Philip Ward1 and Maria Chertova3, (1)Vrije Universiteit Amsterdam, Institute for Environmental Studies (IVM), Amsterdam, Netherlands, (2)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (3)Netherlands eScience Center, Amsterdam, Netherlands, (4)Deltares, Delft, Netherlands
Estimation of Global Synthetic Tropical Cyclone Hazard Probabilities using the STORM dataset (580551)
Nadia Bloemendaal1, Ivan David Haigh2, Hans de Moel3, Sanne Muis4, Rein Haarsma5 and Jeroen Aerts1, (1)Vrije Universiteit Amsterdam, Amsterdam, Netherlands, (2)Ocean and Earth Science, National Oceanography Centre Southampton, Southampton, United Kingdom, (3)Institute for Environmental Studies, Amsterdam, Netherlands, (4)Free University of Amsterdam, Amsterdam, Netherlands, (5)Royal Netherlands Meteorological Institute, De Bilt, Netherlands
Emerging tools and techniques for taking advantage of remote sensing imagery to understand the landslide hazard cascade (587025)
Marin Kristen Clark, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Dimitrios Zekkos, University of Michigan, Ann Arbor, MI, United States, A. Joshua West, Univ. of Southern California, Los Angeles, CA, United States, William Medwedeff, University of Michigan Ann Arbor, Ann Arbor, United States, Logan Knoper, University of Michigan, Earth and Environmental Sciences, Ann Arbor, MI, United States, Abra Atwood, University of Southern California, Los Angeles, CA, United States, Michael J Willis, Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, Deepak Chamlagain, Tribhuvan University, Department of Geology, Kathmandu, Nepal, John Manousakis, ElxisGroup, Athens, Greece and Christopher I Massey, GNS Science-Institute of Geological and Nuclear Sciences Ltd, Lower Hutt, New Zealand
The seismic signatures of the 2017 “6.24” Xinmo Landslide (588984)
Yan Yan, Southwest Jiaotong University, Chengdu, China, Yifei Cui, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, China, Jian Guo, Department of Geological Engineering, Chang'an University, Xi an, China, Dingzhu Liu, Key Laboratory of Mountain Surface Process and Hazards/Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China and Sheng Hu, College of Urban and Environmental Sciences, Northwest University, Xi an, China
Raining Data from the Cloud: Leveraging Cloud-based Technology for Multi-sensor Flood Monitoring in Southeast Asia (596934)
Amanda (Weigel) Markert1, Kel Nicolas Markert2, Farrukh Chishtie3, Timothy Mayer4, Biplov Bhandari5, Willem van Verseveld6, Martijn Kwant6, David S Saah7, Khun San Aung8 and Peeranan Towashiraporn9, (1)University of Alabama in Huntsville, Earth System Science Center, Huntsville, AL, United States, (2)University of Alabama in Huntsville, NASA-SERVIR, Huntsville, AL, United States, (3)Spatial Informatics Group, LLC, Alameda, CA, United States, (4)University of Alabama in Huntsville, Huntsville, AL, United States, (5)Asian Disaster Preparedness Center, Bangkok, Thailand, (6)Deltares, Delft, Netherlands, (7)University of San Francisco, Geospatial Analysis Lab, San Francisco, CA, United States, (8)SERVIR-Mekong, Bangkok, Thailand, (9)Asian Disaster Preparedness Center, Pathumthani, Thailand
Better, faster landslide detection from optical and radar satellite data (599634)
Katy Burrows, Durham University, Durham, NULL, United Kingdom, David Milledge, Newcastle University, School of Engineering, Tyne and Wear, United Kingdom, Dino G. Bellugi, University of California Berkeley, Geography, Berkeley, CA, United States, Richard J Walters, Durham University, COMET, Department of Earth Sciences, Durham, United Kingdom and Alexander Densmore, Durham University, Geography, Durham, United Kingdom
The Evolution of an Object-oriented Big Data Tool for Analysis of Climate Extremes (603847)
Eric Jay Shearer1, Phu Nguyen1, Scott Sellars2, Kuo-lin Hsu1, Soroosh Sorooshian1, Brian Kawsenuk2 and Ramakrishna R Nemani3, (1)UC Irvine, Irvine, CA, United States, (2)UC San Diego, San Diego, CA, United States, (3)NASA Ames Research Center, Moffett Field, CA, United States
Future of Rapid Disaster Mapping with SAR Observations (625169)
Sang-Ho Yun1, Jungkyo Jung1, Yu-Nung Nina Lin2, Oliver Stephenson3, Alok Bhardwaj4, Noel Ivan Ulloa5, Asmamaw Gebrehiwot6, Shi Tong Chin4, Cheryl Tay Wen Jing7, Susan E Owen1, Hook Hua1, Gerald Manipon1, Piyush S. Agram1, Cunren Liang3, Eric Jameson Fielding1, Emma Hill4, Paul Rosen1, Frank Webb1 and Mark Simons3, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Institute of Earth Sciences, Academia Sinica, Taipei, Taiwan, (3)California Institute of Technology, Pasadena, CA, United States, (4)Nanyang Technological University, Earth Observatory of Singapore, Singapore, Singapore, (5)Center for Space and Remote Sensing Research, Jhongli, Taiwan, (6)North Carolina Agricultural and Technical State University, High point, NC, United States, (7)Nanyang Technological University, Asian School of the Environment, Singapore, Singapore
