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We present a robust optimization framework for performing Dynamic Airspace Configuration (DAC) integrated with Traffic Flow Management (TFM) under weather uncertainties. We extend the existing cell-based Mixed Integer Programming (MIP) model along with the GeoSect sectorization method to incorporate probabilistic weather predictions in airspace sectorization. An ensemble generation method is devised to take a probabilistic weather forecast and generate weather ensembles. The weather ensembles are then fed into a TFM agent developed to compute weather avoidance 4D trajectories (4DT) and to create traffic ensembles. Robust sectorization algorithms use traffic and weather ensembles to produce robust sector boundaries that are feasible and close to optimal for each of the traffic ensembles. Several experiments are presented for testing the degree of robustness of generated sectors across different traffic ensembles.

Volcanic eruptions can inject significant amounts of sulfur dioxide (SO 2 ) and volcanic ash into the atmosphere, posing a substantial risk to aviation safety. Ingesting near-real time and Direct Readout satellite volcanic cloud data is vital for improving reliability of volcanic ash forecasts and mitigating the effects of volcanic eruptions on aviation and the economy. NASA volcanic products from the Ozone Monitoring Insrument (OMI) aboard the Aura satellite have been incorporated into Decision Support Systems of many operational agencies. With the Aura mission approaching its 10th anniversary, there is an urgent need to replace OMI data with those from the next generation operational NASA/NOAA Suomi National Polar Partnership (SNPP) satellite. The data provided from these instruments are being incorporated into forecasting models to provide quantitative ash forecasts for air traffic management.This study demonstrates the feasibility of the volcanic near-real time and Direct Readout data products from the new Ozone Monitoring and Profiling Suite (OMPS) ultraviolet sensor onboard SNPP for monitoring and forecasting volcanic clouds. The transition of NASA data production to our operational partners is outlined. Satellite observations are used to constrain volcanic cloud simulations and improve estimates of eruption parameters, resulting in more accurate forecasts. This is demonstrated for the 2012 eruption of Copahue. Volcanic eruptions are modeled using the Goddard Earth Observing System, Version 5 (GEOS-5) and the Goddard Chemistry Aerosol and Radiation Transport (GOCART) model. A hindcast of the disruptive eruption from Iceland's Eyjafjallajokull is used to estimate aviation re-routing costs using Metron Aviation's ATM Tools.Downloaded by NANYANG TECHNICAL UNIVERSITY on October 1, 2015 | http://arc.aiaa.org |

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