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ORCID1. DyDESS 2014: Cambridge, MA, USA
- 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
Sensing
- William J. Blackwell, Kerri L. Cahoy:
Small Satellite Constellations for Data Driven Atmospheric Remote Sensing. 3-9 - 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. 10-15 - David Pieri, Jorge Andres Diaz:
In Situ Sampling of Volcanic Emissions with a UAV Sensorweb: Progress and Plans. 16-27 - Jesse Belden, Jonathon Pendlebury, Alexander Jafek, Tadd Truscott:
Advances in Light Field Imaging for Measurement of Fluid Mechanical Systems. 28-38
Environmental Applications
- E. Ramona Stefanescu, Abani K. Patra, E. Bruce Pitman, Marcus Bursik, Puneet Singla, Tarunraj Singh:
Multiscale Method for Hazard Map Construction. 41-53 - Carlos Brun, Ana Cortés, Tomàs Margalef:
Coupled Dynamic Data-Driven Framework for Forest Fire Spread Prediction. 54-67 - 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. 68-78 - 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. 79-88 - Craig C. Douglas, Tainara Mendes de Andrade Soares, Maurício Vieira Kritz:
A Data Driven Scientific Approach to Environmental Probes. 89-99 - Jonathan D. Knapp, Matias Elo, James Shaeffer, Paul G. Flikkema:
Towards Intelligent Closed-Loop Workflows for Ecological Research. 100-111
Reduced Representations and Features
- George Haller:
Objective Detection of Lagrangian Vortices in Unsteady Velocity Data. 115-120 - Sai Ravela:
Statistical Inference for Coherent Fluids. 121-133 - Will Cousins, Themistoklis P. Sapsis:
Reduced Order Probabilistic Prediction of Rogue Waves in One-Dimensional Envelope Equations. 134-143 - Mustafa A. Mohamad, Themistoklis P. Sapsis:
Analytical Approximation of the Heavy-Tail Structure for Intermittently Unstable Complex Modes. 144-156 - 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. 157-166 - 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. 167-181 - 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. 182-194 - Isaac J. Sledge, Liqian Peng, Kamran Mohseni:
An Empirical Reduced Modeling Approach for Mobile, Distributed Sensor Platform Networks. 195-204
Data Assimilation and Uncertainty Quantification
- 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. 207-214 - Ahmed Attia, Vishwas Rao, Adrian Sandu:
A Sampling Approach for Four Dimensional Data Assimilation. 215-226 - Hansjörg Seybold, Sai Ravela, Piyush Tagade:
Ensemble Learning in Non-Gaussian Data Assimilation. 227-238 - Elias D. Niño, Adrian Sandu:
Variational Data Assimilation Based on Derivative-Free Optimization. 239-250 - Peter Jan van Leeuwen:
Aspects of Particle Filtering in High-Dimensional Spaces. 251-262 - Laura Slivinski, Elaine T. Spiller, Amit Apte:
A Hybrid Particle-Ensemble Kalman Filter for High Dimensional Lagrangian Data Assimilation. 263-273 - 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. 274-283 - Tarkeshwar Singh, Rashmi Mittal, H. C. Upadhyaya:
Ensemble Adjustment Kalman Filter Data Assimilation for a Global Atmospheric Model. 284-298
Planning and Adaptive Observation
- Mohamad E. Gharamti, Youssef M. Marzouk, Xun Huan, Ibrahim Hoteit:
A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework. 301-309 - Reza Madankan, Puneet Singla, Tarunraj Singh:
Parameter Estimation of Atmospheric Release Incidents Using Maximal Information Collection. 310-321 - Juliane Euler, Tobias Ritter, Stefan Ulbrich, Oskar von Stryk:
Centralized Ensemble-Based Trajectory Planning of Cooperating Sensors for Estimating Atmospheric Dispersion Processes. 322-333 - Francis D. Lagor, Derek A. Paley:
Active Singularities for Multivehicle Motion Planning in an N-Vortex System. 334-346 - Deepak N. Subramani, Tapovan Lolla, Patrick J. Haley Jr., Pierre F. J. Lermusiaux:
A Stochastic Optimization Method for Energy-Based Path Planning. 347-358
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