DyDESS

Publications

volume 8964, 2015

Dynamic Data-Driven Environmental Systems Science - First International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014, Revised Selected Papers DyDESS 8964 (2015)

2014

Mohamad E. Gharamti, Boujemaa Ait-El-Fquih, Ibrahim Hoteit
A One-Step-Ahead Smoothing-Based Joint Ensemble Kalman Filter for State-Parameter Estimation of Hydrological Models. DyDESS (2014)
Hansjörg Seybold, Sai Ravela, Piyush Tagade
Ensemble Learning in Non-Gaussian Data Assimilation. DyDESS (2014)
David Pieri, Jorge Andres Diaz
In Situ Sampling of Volcanic Emissions with a UAV Sensorweb: Progress and Plans. DyDESS (2014)
Ru-Shan Gao, James W. Elkins, Gregory J. Frost, Allison C. McComiskey, Fred L. Moore, Daniel M. Murphy, John A. Ogren, Irina Petropavlovskikh, Karen H. Rosenlof
A Novel Approach to Atmospheric Measurements Using Gliding UASs. DyDESS (2014)
Craig C. Douglas, Tainara Mendes de Andrade Soares, Mauricio Vieira Kritz
A Data Driven Scientific Approach to Environmental Probes. DyDESS (2014)
Kian Hsiang Low, Jie Chen, Trong Nghia Hoang, Nuo Xu, Patrick Jaillet
Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data. DyDESS (2014)
Isaac J. Sledge, Liqian Peng, Kamran Mohseni
An Empirical Reduced Modeling Approach for Mobile, Distributed Sensor Platform Networks. DyDESS (2014)
Mohamad E. Gharamti, Youssef M. Marzouk, Xun Huan, Ibrahim Hoteit
A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework. DyDESS (2014)
Charanraj Thimmisetty, Arman Khodabakhshnejad, Nima Jabbari, Fred Aminzadeh, Roger G. Ghanem, Kelly Rose, Jennifer R. Bauer, Corinne Disenhof
Multiscale Stochastic Representation in High-Dimensional Data Using Gaussian Processes with Implicit Diffusion Metrics. DyDESS (2014)
George Haller
Objective Detection of Lagrangian Vortices in Unsteady Velocity Data. DyDESS (2014)
Francis D. Lagor, Derek A. Paley
Active Singularities for Multivehicle Motion Planning in an N-Vortex System. DyDESS (2014)
Joon-Hong Seok, Su-Jin Lee, Han-Lim Choi
A Gaussian Process-Enabled MCMC Approach for Contaminant Source Characterization in a Sensor-Rich Multi-Story Building. DyDESS (2014)
Deepak N. Subramani, Tapovan Lolla, Patrick J. Haley Jr., Pierre F. J. Lermusiaux
A Stochastic Optimization Method for Energy-Based Path Planning. DyDESS (2014)
Jesse Belden, Jonathon Pendlebury, Alexander Jafek, Tadd Truscott
Advances in Light Field Imaging for Measurement of Fluid Mechanical Systems. DyDESS (2014)
E. Ramona Stefanescu, Abani K. Patra, E. Bruce Pitman, Marcus Bursik, Puneet Singla, Tarunraj Singh
Multiscale Method for Hazard Map Construction. DyDESS (2014)
William J. Blackwell, Kerri L. Cahoy
Small Satellite Constellations for Data Driven Atmospheric Remote Sensing. DyDESS (2014)
Reza Madankan, Puneet Singla, Tarunraj Singh
Parameter Estimation of Atmospheric Release Incidents Using Maximal Information Collection. DyDESS (2014)
Mustafa A. Mohamad, Themistoklis P. Sapsis
Analytical Approximation of the Heavy-Tail Structure for Intermittently Unstable Complex Modes. DyDESS (2014)
Laura Slivinski, Elaine Spiller, Amit Apte
A Hybrid Particle-Ensemble Kalman Filter for High Dimensional Lagrangian Data Assimilation. DyDESS (2014)
A. D. Rao, Jismy Poulose, Puja Upadhyay, Sachiko Mohanty
Local-Scale Assessment of Tropical Cyclone Induced Storm Surge Inundation over the Coastal Zones of India in Probabilistic Climate Risk Scenario. DyDESS (2014)
Ahmed Attia, Vishwas Rao, Adrian Sandu
A Sampling Approach for Four Dimensional Data Assimilation. DyDESS (2014)
Juliane Euler, Tobias Ritter, Stefan Ulbrich, Oskar von Stryk
Centralized Ensemble-Based Trajectory Planning of Cooperating Sensors for Estimating Atmospheric Dispersion Processes. DyDESS (2014)
Elias D. Niño, Adrian Sandu
Variational Data Assimilation Based on Derivative-Free Optimization. DyDESS (2014)
Will Cousins, Themistoklis P. Sapsis
Reduced Order Probabilistic Prediction of Rogue Waves in One-Dimensional Envelope Equations. DyDESS (2014)
Dong-Jun Seo, Branko Kerkez, Michael Zink, Nick Fang, Jean Gao, Xinbao Yu
iSPUW: A Vision for Integrated Sensing and Prediction of Urban Water for Sustainable Cities. DyDESS (2014)
Jonathan D. Knapp, Matias Elo, James Shaeffer, Paul G. Flikkema
Towards Intelligent Closed-Loop Workflows for Ecological Research. DyDESS (2014)
Humberto C. Godinez, Earl Lawrence, David Higdon, Aaron J. Ridley, Josef Koller, Alexei V. Klimenko
Specification of the Ionosphere-Thermosphere Using the Ensemble Kalman Filter. DyDESS (2014)
Peter Jan van Leeuwen
Aspects of Particle Filtering in High-Dimensional Spaces. DyDESS (2014)
Carlos Brun, Ana Cortés, Tomàs Margalef
Coupled Dynamic Data-Driven Framework for Forest Fire Spread Prediction. DyDESS (2014)
Tarkeshwar Singh, Rashmi Mittal, H. C. Upadhyaya
Ensemble Adjustment Kalman Filter Data Assimilation for a Global Atmospheric Model. DyDESS (2014)
Sai Ravela
Statistical Inference for Coherent Fluids. DyDESS (2014)