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

Front Matter....Pages I-XI
Front Matter....Pages 1-1
Small Satellite Constellations for Data Driven Atmospheric Remote Sensing....Pages 3-9
A Novel Approach to Atmospheric Measurements Using Gliding UASs....Pages 10-15
In Situ Sampling of Volcanic Emissions with a UAV Sensorweb: Progress and Plans....Pages 16-27
Advances in Light Field Imaging for Measurement of Fluid Mechanical Systems....Pages 28-38
Front Matter....Pages 39-39
Multiscale Method for Hazard Map Construction....Pages 41-53
Coupled Dynamic Data-Driven Framework for Forest Fire Spread Prediction....Pages 54-67
iSPUW: A Vision for Integrated Sensing and Prediction of Urban Water for Sustainable Cities....Pages 68-78
Local-Scale Assessment of Tropical Cyclone Induced Storm Surge Inundation over the Coastal Zones of India in Probabilistic Climate Risk Scenario....Pages 79-88
A Data Driven Scientific Approach to Environmental Probes....Pages 89-99
Towards Intelligent Closed-Loop Workflows for Ecological Research....Pages 100-111
Front Matter....Pages 113-113
Objective Detection of Lagrangian Vortices in Unsteady Velocity Data....Pages 115-120
Statistical Inference for Coherent Fluids....Pages 121-133
Reduced Order Probabilistic Prediction of Rogue Waves in One-Dimensional Envelope Equations....Pages 134-143
Analytical Approximation of the Heavy-Tail Structure for Intermittently Unstable Complex Modes....Pages 144-156
Multiscale Stochastic Representation in High-Dimensional Data Using Gaussian Processes with Implicit Diffusion Metrics....Pages 157-166
Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data....Pages 167-181
A Gaussian Process-Enabled MCMC Approach for Contaminant Source Characterization in a Sensor-Rich Multi-Story Building....Pages 182-194
An Empirical Reduced Modeling Approach for Mobile, Distributed Sensor Platform Networks....Pages 195-204
Front Matter....Pages 205-205
A One-Step-Ahead Smoothing-Based Joint Ensemble Kalman Filter for State-Parameter Estimation of Hydrological Models....Pages 207-214
A Sampling Approach for Four Dimensional Data Assimilation....Pages 215-226
Front Matter....Pages 205-205
Ensemble Learning in Non-Gaussian Data Assimilation....Pages 227-238
Variational Data Assimilation Based on Derivative-Free Optimization....Pages 239-250
Aspects of Particle Filtering in High-Dimensional Spaces....Pages 251-262
A Hybrid Particle-Ensemble Kalman Filter for High Dimensional Lagrangian Data Assimilation....Pages 263-273
Specification of the Ionosphere-Thermosphere Using the Ensemble Kalman Filter....Pages 274-283
Ensemble Adjustment Kalman Filter Data Assimilation for a Global Atmospheric Model....Pages 284-298
Front Matter....Pages 299-299
A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework....Pages 301-309
Parameter Estimation of Atmospheric Release Incidents Using Maximal Information Collection....Pages 310-321
Centralized Ensemble-Based Trajectory Planning of Cooperating Sensors for Estimating Atmospheric Dispersion Processes....Pages 322-333
Active Singularities for Multivehicle Motion Planning in an N-Vortex System....Pages 334-346
A Stochastic Optimization Method for Energy-Based Path Planning....Pages 347-358
Back Matter....Pages 359-360