Midwest Mathematics and Climate Conference - Day 3 Afternoon Session
12 May 2015 |
Mary Silber, Northwestern UniversityPattern Formation in the Drylands: Self Organization in Semi-Arid EcosystemsMuch of our understanding of spontaneous pattern formation in spatially extended systems was developed in the “wetlands" of fluid mechanics. That setting allowed...
Midwest Mathematics and Climate Conference - Day 2 Morning Session
12 May 2015 |
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,...
Realistic modeling and analysis of synchronization dynamics in power-grid networks
08 May 2015 | | Contributor(s):: Takashi Nishikawa
An imperative condition for the functioning of a power-grid network is that its power generators remain synchronized. Disturbances can prompt desynchronization, which is a process that has been involved in large power outages. In this talk I will first give a comparative review of three leading...
Complex Energy Systems
07 May 2015 | | Contributor(s):: Michael Chertkov
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...
Emulators in climate science. Uncertainty, sensitivity, calibration and more
30 Apr 2015 | | Contributor(s):: Peter Challenor
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...
Correlated Observation Errors in Data Assimilation
30 Apr 2015 | | Contributor(s):: Sarah Dance
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...
Ionospheric weather forecasting using the LETKF
23 Mar 2015 | | Contributor(s):: Juan Durazo
We track the three-dimensional global distribution of electron density in the ionosphere using theLocal Ensemble Kalman Filter (LETKF) and the Thermosphere-Ionosphere-Electrodynamics GlobalCirculation Model (TIEGCM) by assimilating globally distributed electron density profiles. TheTIEGCM is a...
NSF's Science Nation Video on David Holland's field work in Greenland
18 Mar 2015 |
MCRN member and founding principal investigator David Holland was featured in the NSF's Science Nation video, titled, "Mathematician uses skills to study Greenland's retreating glaciers," on September 9,...