GC13G:
Techniques for Identifying Signals and Diagnosing Their Causes in Geophysical and Environmental Data Posters

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Session ID#: 13587

Session Description:
An important practical motivation for many geophysical and environmental disciplines is the determination of whether some monitored characteristic of our environment is changing and, if so, the identification of the causes of that change.  While basic terminology can vary across disciplines (e.g. the label "detection and attribution" is mostly unique to diagnosing changes in climate), the methods and techniques applicable to the problem can be equally applicable across disciplines.  This session focuses on the techniques and methods for diagnosing cause and effect in geophysical and environmental disciplines.  We particularly encourage submissions involving the development and/or application of statistical theory and methods, causal theory, algorithmic methods, and machine learning.
Primary Convener:  Dáithí A Stone, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Conveners:  Alexis Hannart, University of Buenos Aires, Buenos Aires, Argentina and Frances Claire Moore, University of California Berkeley, Environmental Science & Policy, Berkeley, CA, United States
Chairs:  Alexis Hannart, University of Buenos Aires, Buenos Aires, Argentina and Dáithí A Stone, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
OSPA Liaison:  Dáithí A Stone, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Index Terms:

0520 Data analysis: algorithms and implementation [COMPUTATIONAL GEOPHYSICS]
0555 Neural networks, fuzzy logic, machine learning [COMPUTATIONAL GEOPHYSICS]
1699 General or miscellaneous [GLOBAL CHANGE]
1986 Statistical methods: Inferential [INFORMATICS]

Abstracts Submitted to this Session:

Detecting potential anomalies in projections of rainfall trends and patterns using human observations (Invited) (150178)
Valentina Savo1, Karen Elizabeth Kohfeld2, Jana Sillmann3, Cedar Morton1 and Dana Lepofsky1, (1)Simon Fraser University, Burnaby, BC, Canada, (2)Simon Fraser University, School of Resource and Environmental Management and School of Environmental Science, Burnaby, Canada, (3)Universtiy of Hamburg, Hamburg, Germany
Time-varying trends of global vegetation activity (153667)
Naiqing Pan1, Xiaoming Feng2 and Bojie Fu2, (1)Auburn University, International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences, Auburn, AL, United States, (2)Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
Evaluating the Potential Usefulness of the C20C+ Detection and Attribution Archive (173792)
Dáithí A Stone1, Oliver Marc Angelil2, Nikolaos Christidis3, Andrew Ciavarella4, Andrea Jennifer Dittus5, Jonghun Jin6, Seung-Ki Min7, Andrew King8, Hari Krishnan1, Sarah Elizabeth Perkins2, Judith Perlwitz9, Mark Daniel Risser10, Hideo Shiogama11, Michael F Wehner1 and Piotr Wolski12, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)University of New South Wales, Sydney, Australia, (3)Met Office Hadley center for Climate Change, Exeter, United Kingdom, (4)Met Office Hadley center for Climate Change, Exeter, EX1, United Kingdom, (5)University of Melbourne, Parkville, Australia, (6)POSTECH Pohang University of Science, Pohang, Korea, Republic of (South), (7)POSTECH, Pohang, Korea, Republic of (South), (8)University of Melbourne, School of Geography, Earth, and Atmospheric Sciences, Parkville, Australia, (9)CIRES, Boulder, CO, United States, (10)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, CA, United States, (11)National Institute for Environmental Studies (NIES), Center for Global Environmental Research, Tsukuba, Japan, (12)University of Cape Town, Climate System Analysis Group, Cape Town, South Africa
Detrended Cross Correlation Analysis: a new way to figure out the underlying cause of global warming (182014)
Sudipta Kumar Bera, Indian Institute of Science Education and Research Kolkata, Kolkata, India and Soumitra Hazra, Georgia State University, Department of Physics & Astronomy, Atlanta, United States
Experiments on Adaptive Self-Tuning of Seismic Signal Detector Parameters (182334)
Timothy Draelos1, Hunter Anne Knox2, Christopher J Young1, Eric Paul Chael1, Matthew C Peterson1, Benjamin Lawry1, Kristin E Phillips-Alonge3, Robert Scott Balch4 and Abra Ziegler5, (1)Sandia National Laboratories, Albuquerque, NM, United States, (2)Sandia National Laboratories, Albuquerque, United States, (3)Caltech, Pasadena, CA, United States, (4)New Mexico Institute of Mining and Technology, Petroleum Recovery Research Center, Socorro, NM, United States, (5)New Mexico Institute of Mining and Technology, PRRC, Socorro, NM, United States
Fast-track extreme event attribution: General methods and techniques to determine the dynamic contribution to an event. (189210)
Friederike Elly Luise Otto1, Karsten Haustein2, Peter Uhe2, Neil Massey1, Ruksana Rimi2, Myles Robert Allen3 and Heidi M Cullen4, (1)University of Oxford, ECI/School of Geography and the Environment, Oxford, United Kingdom, (2)University of Oxford, Oxford, United Kingdom, (3)University of Oxford, Physics, Oxford, United Kingdom, (4)Climate Central, Princeton, NJ, United States
A new approach in the atmospheric studies using cosmogenic isotopes measured in the near ground air. (194705)
Alessandra Abe Pacini, InSpace LLC, Camuy, United States and Christiano Garnett Marques Brum, Arecibo Observatory, Arecibo, PR, United States
A Centrifugal Volcanism Mechanism for the AMO (199633)
Vaughan R Pratt, Stanford University, Stanford, CA, United States

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