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found 32 matches

• 2015
• 
  Sai Ravela, Adrian Sandu:
  Dynamic Data-Driven Environmental Systems Science - First International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8964, Springer 2015, ISBN 978-3-319-25137-0 [contents]
• 2014
• 
  Ahmed Attia, Vishwas Rao, Adrian Sandu:
  A Sampling Approach for Four Dimensional Data Assimilation. DyDESS 2014: 215-226
• 
  Jesse Belden, Jonathon Pendlebury, Alexander Jafek, Tadd Truscott:
  Advances in Light Field Imaging for Measurement of Fluid Mechanical Systems. DyDESS 2014: 28-38
• 
  William J. Blackwell, Kerri L. Cahoy:
  Small Satellite Constellations for Data Driven Atmospheric Remote Sensing. DyDESS 2014: 3-9
• 
  Carlos Brun, Ana Cortés, Tomàs Margalef:
  Coupled Dynamic Data-Driven Framework for Forest Fire Spread Prediction. DyDESS 2014: 54-67
• 
  Will Cousins, Themistoklis P. Sapsis:
  Reduced Order Probabilistic Prediction of Rogue Waves in One-Dimensional Envelope Equations. DyDESS 2014: 134-143
• 
  Craig C. Douglas, Tainara Mendes de Andrade Soares, Maurício Vieira Kritz:
  A Data Driven Scientific Approach to Environmental Probes. DyDESS 2014: 89-99
• 
  Juliane Euler, Tobias Ritter, Stefan Ulbrich, Oskar von Stryk:
  Centralized Ensemble-Based Trajectory Planning of Cooperating Sensors for Estimating Atmospheric Dispersion Processes. DyDESS 2014: 322-333
• 
  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: 10-15
• 
  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: 207-214
• 
  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: 301-309
• 
  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: 274-283
• 
  George Haller:
  Objective Detection of Lagrangian Vortices in Unsteady Velocity Data. DyDESS 2014: 115-120
• 
  Jonathan D. Knapp, Matias Elo, James Shaeffer, Paul G. Flikkema:
  Towards Intelligent Closed-Loop Workflows for Ecological Research. DyDESS 2014: 100-111
• 
  Francis D. Lagor, Derek A. Paley:
  Active Singularities for Multivehicle Motion Planning in an N-Vortex System. DyDESS 2014: 334-346
• 
  Peter Jan van Leeuwen:
  Aspects of Particle Filtering in High-Dimensional Spaces. DyDESS 2014: 251-262
• 
  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: 167-181
• 
  Reza Madankan, Puneet Singla, Tarunraj Singh:
  Parameter Estimation of Atmospheric Release Incidents Using Maximal Information Collection. DyDESS 2014: 310-321
• 
  Mustafa A. Mohamad, Themistoklis P. Sapsis:
  Analytical Approximation of the Heavy-Tail Structure for Intermittently Unstable Complex Modes. DyDESS 2014: 144-156
• 
  Elias D. Niño, Adrian Sandu:
  Variational Data Assimilation Based on Derivative-Free Optimization. DyDESS 2014: 239-250
• 
  David Pieri, Jorge Andres Diaz:
  In Situ Sampling of Volcanic Emissions with a UAV Sensorweb: Progress and Plans. DyDESS 2014: 16-27
• 
  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: 79-88
• 
  Sai Ravela:
  Statistical Inference for Coherent Fluids. DyDESS 2014: 121-133
• 
  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: 68-78
• 
  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: 182-194
• 
  Hansjörg Seybold, Sai Ravela, Piyush Tagade:
  Ensemble Learning in Non-Gaussian Data Assimilation. DyDESS 2014: 227-238
• 
  Tarkeshwar Singh, Rashmi Mittal, H. C. Upadhyaya:
  Ensemble Adjustment Kalman Filter Data Assimilation for a Global Atmospheric Model. DyDESS 2014: 284-298
• 
  Isaac J. Sledge, Liqian Peng, Kamran Mohseni:
  An Empirical Reduced Modeling Approach for Mobile, Distributed Sensor Platform Networks. DyDESS 2014: 195-204
• 
  Laura Slivinski, Elaine T. Spiller, Amit Apte:
  A Hybrid Particle-Ensemble Kalman Filter for High Dimensional Lagrangian Data Assimilation. DyDESS 2014: 263-273
• 
  E. Ramona Stefanescu, Abani K. Patra, E. Bruce Pitman, Marcus Bursik, Puneet Singla, Tarunraj Singh:
  Multiscale Method for Hazard Map Construction. DyDESS 2014: 41-53

skipping 2 more matches