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DTSTART:20211107T020000
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UID:calendar.444126.field_event_date.0@www.wright.edu
DTSTAMP:20260220T001025Z
CREATED:20220328T041330Z
DESCRIPTION:The speaker at the Physics seminar this week will be Dr. Sandra
  Chapman (pre-recorded).  The talk was originally presented in 2020 when D
 r. Chapman was awarded the 2020 AGU Lorenz Lecture prize. Title: Multiscal
 e\, Nonlinear Space Physics ‘In the Wild’: From Fundamental Physics to Qua
 ntifying RiskAbstract:Solar system plasmas offer a rich laboratory for the
  fundamental physics of systems that are driven\, dissipating and far from
  equilibrium. The sun\, solar wind and earth’s magnetosphere exhibit non-l
 inear processes that are coupled across a broad range of space and timesca
 les resulting in bursty energy and momentum transport. A wealth of in-situ
  and remote observations are available from the fastest physical timescale
 s of interest to across multiple solar cycles. There are significant chall
 enges in deploying nonlinear physics and complex systems concepts ‘in the 
 wild’ which are present across the geosciences. However\, despite the fact
  that the behaviour of interest is typically non-time stationary\, dominat
 ed by correlated extremes and often only available for a single realizatio
 n\, significant progress has been possible. Highlights include establishin
 g the multi-scale nature of magnetospheric dynamics\, unravelling the unde
 rlying physics of turbulence in the solar wind\, and quantifying the risk 
 of extreme space weather events and how it varies within and across the va
 riable solar cycle. At its core\, any analysis of observed systems\, rathe
 r than controlled experiments\, requires establishing robust\, reproducibl
 e patterns and laws from multipoint data in these inhomogeneously sampled\
 , non time stationary systems. There has been recent success with dynamica
 l networks and machine learning is becoming a hot topic. If we can synthes
 ize human thinking and machine learning\, there is significant potential f
 or progress given the wealth of data that is becoming available. Event Web
 page: https://us.bbcollab.com/guest/4a2dc489c4ad41729b116a7907adf865
DTSTART;TZID=America/New_York:20220331T130000
DTEND;TZID=America/New_York:20220331T140000
LAST-MODIFIED:20220328T083235Z
LOCATION:Virtual
SUMMARY:Physics Seminar:  Multiscale\, Nonlinear Space Physics ‘In the Wild
 ’: From Fundamental Physics to Quantifying Risk
URL;TYPE=URI:/events/physics-seminar-multiscale-nonli
 near-space-physics-%E2%80%98-wild%E2%80%99-fundamental-physics-quantifying
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