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SUMMARY:Darcy Lecture 2020: "Hydrology in the supercomputing age"
DTSTART:20200128T180000
DTEND:20200128T190000
DTSTAMP:20260528T120304Z
UID:56f596923c5545e2a6c35c4d0c3f21db9ec77a5f09239d05d7f842d3
CATEGORIES:Conferences - Seminars
DESCRIPTION:Reed Maxwell\nHYDROLOGY IN THE SUPERCOMPUTING AGE: HOW COMPUTA
 TIONAL ADVANCES HAVE REVOLUTIONIZED OUR FIELD\, AND WHAT BIG DATA AND MASS
 IVELY PARALLEL SIMULATIONS MEAN FOR THE FUTURE OF HYDROLOGIC DISCOVERY\n\n
 We are in the midst of a revolution in computing and data. In the past 50 
 years we have moved from electrical analog models to massively parallel co
 mputer systems. The fastest computers in the world when landmark papers su
 ch as Freeze and Harlan were written are much slower than the average smar
 tphone of today. Hydrology is taking advantage of this revolution in many
  ways. Computational Hydrology seeks to leverage modern computing capacit
 y to study water and energy fluxes and stores across the hydrologic cycle 
 at spatial scales and complexity not previously possible. Integrated hydr
 ologic simulations that couple boundary layer\, vegetation\, and land ener
 gy processes with surface and subsurface hydrology have great potential to
  advance our understanding of terrestrial hydrology spanning small catchme
 nts to the continental scale. Several movements within hydrology\, such as
  the so-called hyperresolution approach\, have organized and accelerated t
 his goal. Hydrologic simulation from a historical perspective\, starting w
 ith the early watershed models to more modern\, integrated approaches that
  realize blueprints laid out fifty years ago will be presented. The lectur
 e will discuss how computational advances are shaping our simulation capa
 bilities\, changing the questions that we are able to ask as scientist\, a
 nd changing how we educate our students. High-resolution\, continental-sca
 le simulation is an exciting component of computational hydrology forecast
 ing and scientific discovery. It will outline a path to move beyond our t
 raditional siloed simulation platforms and to leverage these large dataset
 s and massive community development investments to better connect our hydr
 ologic models to the communities outside of hydrology.\n 
LOCATION:CM 1 4 https://plan.epfl.ch/?room==CM%201%204
STATUS:CONFIRMED
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