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

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This book constitutes the refereed proceedings of the First International Conference on Dynamic Data-Driven Environmental Systems Science, DyDESS 2014, held in Cambridge, MA, USA, in November 2014.
The 24 revised full papers and 7 short papers were carefully reviewed and selected from 62 submissions and cover topics on sensing, imaging and retrieval  for the oceans, atmosphere, space, land, earth and planets that is informed by the environmental context;  algorithms for modeling and simulation, downscaling, model reduction, data assimilation, uncertainty quantification and statistical learning; methodologies for planning and control, sampling and adaptive observation, and efficient coupling of these algorithms into information-gathering and observing system designs; and applications of methodology to environmental estimation, analysis and prediction including climate, natural hazards, oceans, cryosphere, atmosphere, land, space, earth and planets.
Sensing
Small Satellite Constellations for Data Driven Atmospheric Remote Sensing
3(7)
W. Blackwell
K. Cahoy
A Novel Approach to Atmospheric Measurements Using Gliding UASs
10(6)
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
In Situ Sampling of Volcanic Emissions with a UAV Sensorweb: Progress and Plans
16(12)
David Pieri
Jorge Andres Diaz
Advances in Light Field Imaging for Measurement of Fluid Mechanical Systems
28(13)
Jesse Belden
Jonathon Pendlebury
Alexander Jafek
Tadd Truscott
Environmental Applications
Multiscale Method for Hazard Map Construction
41(13)
E. Ramona Stefanescu
Abani Patra
E. Bruce Pitman
Marcus Bursik
Puneet Singla
Tarunraj Singh
Coupled Dynamic Data-Driven Framework for Forest Fire Spread Prediction
54(14)
Carlos Brun
Ana Cortes
Tomas Margalef
iSPUW: A Vision for Integrated Sensing and Prediction of Urban Water for Sustainable Cities
68(11)
Dong-Jun Seo
Branko Kerkez
Michael Zink
Nick Fang
Jean Gao
Xinbao Yu
Local-Scale Assessment of Tropical Cyclone Induced Storm Surge Inundation over the Coastal Zones of India in Probabilistic Climate Risk Scenario
79(10)
A.D. Rao
Jismy Poulose
Puja Upadhyay
Sachiko Mohanty
A Data Driven Scientific Approach to Environmental Probes
89(11)
Craig C. Douglas
Tainara Mendes de Andrade Soares
Mauricio Vieira Kritz
Towards Intelligent Closed-Loop Workflows for Ecological Research
100(15)
JD Knapp
Matias Elo
James Shaeffer
Paul G. Flikkema
Reduced Representations and Features
Objective Detection of Lagrangian Vortices in Unsteady Velocity Data
115(6)
George Holier
Statistical Inference for Coherent Fluids
121(13)
Sai Ravela
Reduced Order Probabilistic Prediction of Rogue Waves in One-Dimensional Envelope Equations
134(10)
Will Cousins
Themistoklis P. Sapsis
Analytical Approximation of the Heavy-Tail Structure for Intermittently Unstable Complex Modes
144(13)
Mustafa A. Mohamad
Themistoklis P. Sapsis
Multiscale Stochastic Representation in High-Dimensional Data Using Gaussian Processes with Implicit Diffusion Metrics
157(10)
Charanraj Thimmisetty
Arman Khodabakhshnejad
Nima Jabbari
Fred Aminzadeh
Roger Ghanem
Kelly Rose
Jennifer Bauer
Corinne Disenhof
Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data
167(15)
Kian Hsiang Low
Jie Chen
Trong Nghia Hoang
Nuo Xu
Patrick Jaillet
A Gaussian Process-Enabled MCMC Approach for Contaminant Source Characterization in a Sensor-Rich Multi-Story Building
182(13)
Joon-Hong Seok
Su-Jin Lee
Han-Lim Choi
An Empirical Reduced Modeling Approach for Mobile, Distributed Sensor Platform Networks
195(12)
Isaac J. Sledge
Liqian Peng
Kamran Mohseni
Data Assimilation and Uncertainty Quantification
A One-Step-Ahead Smoothing-Based Joint Ensemble Kalman Filter for State-Parameter Estimation of Hydrological Models
207(8)
Mohamad E. Gharamti
Boujemaa Ait-El-Fquih
Ibrahim Hoteit
A Sampling Approach for Four Dimensional Data Assimilation
215(12)
Ahmed Attia
Vishwas Rao
Adrian Sandu
Ensemble Learning in Non-Gaussian Data Assimilation
227(12)
Hansjorg Seybold
Sai Ravela
Piyush Tagade
Variational Data Assimilation Based on Derivative-Free Optimization
239(12)
Elias D. Nino
Adrian Sandu
Aspects of Particle Filtering in High-Dimensional Spaces
251(12)
Peter Jan van Leeuwen
A Hybrid Particle-Ensemble Kalman Filter for High Dimensional Lagrangian Data Assimilation
263(11)
Laura Slivinski
Elaine Spiller
Amit Apte
Specification of the Ionosphere-Thermosphere Using the Ensemble Kalman Filter
274(10)
Humberto C. Godinez
Earl Lawrence
David Higdon
Aaron Ridley
Josef Koller
Alexei Klimenko
Ensemble Adjustment Kalman Filter Data Assimilation for a Global Atmospheric Model
284(17)
Tarkeshwar Singh
Rashmi Mittal
H. C. Upadhyaya
Planning and Adaptive Observation
A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework
301(9)
Mohamad E. Gharamti
Youssef M. Marzouk
Xun Huan
Ibrahim Hoteit
Parameter Estimation of Atmospheric Release Incidents Using Maximal Information Collection
310(12)
Reza Madankan
Puneet Singla
Tarunraj Singh
Centralized Ensemble-Based Trajectory Planning of Cooperating Sensors for Estimating Atmospheric Dispersion Processes
322(12)
Juliane Euler
Tobias Ritter
Stefan Ulbrich
Oskar von Stryk
Active Singularities for Multivehicle Motion Planning in an N-Vortex System
334(13)
Francis D. Lagor
Derek A. Paley
A Stochastic Optimization Method for Energy-Based Path Planning
347(12)
Deepak N. Subramani
Tapovan Lolla
Patrick J. Haley Jr.
Pierre F.J. Lermusiaux
Author Index 359