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MCRN

Complex Energy Systems

This is the opening guest lecture for the Electric Grid Focus Group. Dr. Michael Chertkov of Los Alamos National Lab describes the statistical and mathematical problems arising in complex energy systems, including the electric grid and gas networks. Systems with high penetration of renewable energy …
  • Resource Presentations
MCRN

Midwest Mathematics and Climate Conference

The conference is sponsored by the National Science Foundation, Institute of Mathematics and Its Applications, the Office of Research,College of Liberal Arts and Sciences, and the Department of Mathematics, Department of Geography/Atmospheric Science Program, and The Commons at the University of Kan…
  • Resource Workshops
NanoHUB.org

Quantifying Uncertainties in Physical Models

Increasing modeling detail is not necessarily correlated with increasing predictive ability. Setting modeling and numerical discretization errors aside, the more detailed a model gets, the larger the number of parameters required to accurately specify its initial/boundary conditions, constitutive la…
  • Resource Online Presentations
MCRN

Correlated Observation Errors in Data Assimilation

Remote sensing observations often have correlated errors, but the correlations are typically ignored in data assimilation for numerical weather prediction. The assumption of zero correlations is often used with data thinning methods, resulting in a loss of information, and reduction in analysis accu…
  • Resource Presentations
MCRN

Particle filters for geophysical applications

Avoiding degeneracy is a crucial challenge for particle filters. Results have shown that the number of particles scales exponentially with respect to the number of independent observations. In this talk I will review attempts to counteract this phenomenon by exploiting proposal densities. I will put…
  • Resource Presentations
MCRN

Midwest Mathematics and Climate Conference - Day 1 Afternoon Session

Graham Feingold, National Oceanic & Atmospheric AdministratonDynamical System Analogues to Cloud SystemsShallow convection exhibits fascinating cellular structures at scales of a few to several hundred kilometers. Configurations of relatively cloud free open cell states, or much cloudier closed cell…
  • Resource Presentations
MCRN

Midwest Mathematics and Climate Conference - Day 2 Morning Session

Juan Restrepo, Oregon State UniversityData AssimilationAccounting for uncertainties has led us to alter our expectations of what is predictable and how such predictions compare to nature. A significant effort, in recent years, has been placed on creating new uncertainty quantification techniques, re…
  • Resource Presentations
MCRN

Emulators in climate science. Uncertainty, sensitivity, calibration and more

An emulator or a surrogate is a statistical approximation of a complex numerical model. Emulators are fast to run and include a measure of their own uncertainty. This makes them suitable for a number of applications in climate science. Emulators were originally devised for uncertainty quantification…
  • Resource Presentations
NanoHUB.org

Certainties and Uncertainties in Our Energy and Climate Futures

Discussions of the energy-climate nexus necessarily involve (but often conflate) aspects of science, technology, economics, policy, behavior, and values. Seeing the way forward with clarity is greatly helped by clearly separating what is (or was) from what will be / could be / should be. To that end…
  • Resource Online Presentations

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