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Small Satellite Constellations for Data Driven Atmospheric Remote Sensing |
|
|
3 | (7) |
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A Novel Approach to Atmospheric Measurements Using Gliding UASs |
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10 | (6) |
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In Situ Sampling of Volcanic Emissions with a UAV Sensorweb: Progress and Plans |
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16 | (12) |
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|
Advances in Light Field Imaging for Measurement of Fluid Mechanical Systems |
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|
28 | (13) |
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|
Environmental Applications |
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|
|
Multiscale Method for Hazard Map Construction |
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41 | (13) |
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Coupled Dynamic Data-Driven Framework for Forest Fire Spread Prediction |
|
|
54 | (14) |
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|
iSPUW: A Vision for Integrated Sensing and Prediction of Urban Water for Sustainable Cities |
|
|
68 | (11) |
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Local-Scale Assessment of Tropical Cyclone Induced Storm Surge Inundation over the Coastal Zones of India in Probabilistic Climate Risk Scenario |
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|
79 | (10) |
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|
|
|
|
A Data Driven Scientific Approach to Environmental Probes |
|
|
89 | (11) |
|
|
Tainara Mendes de Andrade Soares |
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Towards Intelligent Closed-Loop Workflows for Ecological Research |
|
|
100 | (15) |
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|
Reduced Representations and Features |
|
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|
Objective Detection of Lagrangian Vortices in Unsteady Velocity Data |
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115 | (6) |
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|
Statistical Inference for Coherent Fluids |
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121 | (13) |
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|
Reduced Order Probabilistic Prediction of Rogue Waves in One-Dimensional Envelope Equations |
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|
134 | (10) |
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Analytical Approximation of the Heavy-Tail Structure for Intermittently Unstable Complex Modes |
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|
144 | (13) |
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Multiscale Stochastic Representation in High-Dimensional Data Using Gaussian Processes with Implicit Diffusion Metrics |
|
|
157 | (10) |
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Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data |
|
|
167 | (15) |
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A Gaussian Process-Enabled MCMC Approach for Contaminant Source Characterization in a Sensor-Rich Multi-Story Building |
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|
182 | (13) |
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|
An Empirical Reduced Modeling Approach for Mobile, Distributed Sensor Platform Networks |
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|
195 | (12) |
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Data Assimilation and Uncertainty Quantification |
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|
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A One-Step-Ahead Smoothing-Based Joint Ensemble Kalman Filter for State-Parameter Estimation of Hydrological Models |
|
|
207 | (8) |
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A Sampling Approach for Four Dimensional Data Assimilation |
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|
215 | (12) |
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|
Ensemble Learning in Non-Gaussian Data Assimilation |
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227 | (12) |
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|
Variational Data Assimilation Based on Derivative-Free Optimization |
|
|
239 | (12) |
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|
|
Aspects of Particle Filtering in High-Dimensional Spaces |
|
|
251 | (12) |
|
|
A Hybrid Particle-Ensemble Kalman Filter for High Dimensional Lagrangian Data Assimilation |
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|
263 | (11) |
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|
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Specification of the Ionosphere-Thermosphere Using the Ensemble Kalman Filter |
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|
274 | (10) |
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|
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|
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Ensemble Adjustment Kalman Filter Data Assimilation for a Global Atmospheric Model |
|
|
284 | (17) |
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|
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|
Planning and Adaptive Observation |
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|
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A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework |
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|
301 | (9) |
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|
|
Parameter Estimation of Atmospheric Release Incidents Using Maximal Information Collection |
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|
310 | (12) |
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|
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Centralized Ensemble-Based Trajectory Planning of Cooperating Sensors for Estimating Atmospheric Dispersion Processes |
|
|
322 | (12) |
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|
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|
|
Active Singularities for Multivehicle Motion Planning in an N-Vortex System |
|
|
334 | (13) |
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|
|
A Stochastic Optimization Method for Energy-Based Path Planning |
|
|
347 | (12) |
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|
Author Index |
|
359 | |