Related references
Note: Only part of the references are listed.Fast training of deep LSTM networks with guaranteed stability for nonlinear system modeling
Wen Yu et al.
NEUROCOMPUTING (2021)
Deep Data Assimilation: Integrating Deep Learning with Data Assimilation
Rossella Arcucci et al.
APPLIED SCIENCES-BASEL (2021)
Economic footprint of California wildfires in 2018
Daoping Wang et al.
NATURE SUSTAINABILITY (2021)
Fifty years of wildland fire science in Canada
Sean C. P. Coogan et al.
CANADIAN JOURNAL OF FOREST RESEARCH (2021)
A real-time flow forecasting with deep convolutional generative adversarial network: Application to flooding event in Denmark
Meiling Cheng et al.
PHYSICS OF FLUIDS (2021)
Observation data compression for variational assimilation of dynamical systems (R)
Sibo Cheng et al.
JOURNAL OF COMPUTATIONAL SCIENCE (2021)
A review of machine learning applications in wildfire science and management
Piyush Jain et al.
ENVIRONMENTAL REVIEWS (2020)
Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows
Suraj Pawar et al.
PHYSICS OF FLUIDS (2020)
Satellite-Based Fire Progression Mapping: A Comprehensive Assessment for Large Fires in Northern California
Erica Scaduto et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)
A Reduced Order Deep Data Assimilation model
Cesar Quilodran Casas et al.
PHYSICA D-NONLINEAR PHENOMENA (2020)
Two methods for calculating wildland fire rate of forward spread
Jim S. Gould et al.
INTERNATIONAL JOURNAL OF WILDLAND FIRE (2020)
Radiant heat flux modelling for wildfires
James E. Hilton et al.
MATHEMATICS AND COMPUTERS IN SIMULATION (2019)
Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China
Guoli Zhang et al.
INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE (2019)
An artificial neural network framework for reduced order modeling of transient flows
Omer San et al.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION (2019)
Background error covariance iterative updating with invariant observation measures for data assimilation
Sibo Cheng et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2019)
Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability
Abolfazl Jaafari et al.
AGRICULTURAL AND FOREST METEOROLOGY (2019)
A Data-Driven Fire Spread Simulator: Validation in Vall-llobrega's Fire
Oriol Rios et al.
FRONTIERS IN MECHANICAL ENGINEERING-SWITZERLAND (2019)
A Neural Network Model for Wildfire Scale Prediction Using Meteorological Factors
Hao Liang et al.
IEEE ACCESS (2019)
Incorporating convective feedback in wildfire simulations using pyrogenic potential
J. E. Hilton et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2018)
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
Waseem Rawat et al.
NEURAL COMPUTATION (2017)
Where fire stops: vegetation structure and microclimate influence fire spread along an ecotonal gradient
Michael G. Just et al.
PLANT ECOLOGY (2016)
Error covariance estimation methods based on analysis residuals: theoretical foundation and convergence properties derived from simplified observation networks
Richard Menard
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2016)
Faster prediction of wildfire behaviour by physical models through application of proper orthogonal decomposition
Elisa Guelpa et al.
INTERNATIONAL JOURNAL OF WILDLAND FIRE (2016)
Global trends in wildfire and its impacts: perceptions versus realities in a changing world
Stefan H. Doerr et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES (2016)
The collection 6 MODIS active fire detection algorithm and fire products
Louis Giglio et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Big data integration shows Australian bush-fire frequency is increasing significantly
Ritaban Dutta et al.
ROYAL SOCIETY OPEN SCIENCE (2016)
Optimizing watchtower locations for forest fire monitoring using location models
Shitai Bao et al.
FIRE SAFETY JOURNAL (2015)
Generalized background error covariance matrix model (GEN_BE v2.0)
G. Descombes et al.
GEOSCIENTIFIC MODEL DEVELOPMENT (2015)
Smouldering combustion of peat in wildfires: Inverse modelling of the drying and the thermal and oxidative decomposition kinetics
Xinyan Huang et al.
COMBUSTION AND FLAME (2014)
Low-rank approximations for computing observation impact in 4D-Var data assimilation
Alexandru Cioaca et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS (2014)
Current status and future needs of the BehavePlus Fire Modeling System
Patricia L. Andrews
INTERNATIONAL JOURNAL OF WILDLAND FIRE (2014)
Development of Standard Fuel Models in Boreal Forests of Northeast China through Calibration and Validation
Longyan Cai et al.
PLOS ONE (2014)
The New VIIRS 375 m active fire detection data product: Algorithm description and initial assessment
Wilfrid Schroeder et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Towards predictive data-driven simulations of wildfire spread - Part I: Reduced-cost Ensemble Kalman Filter based on a Polynomial Chaos surrogate model for parameter estimation
M. C. Rochoux et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2014)
Suomi NPP VIIRS prelaunch and on-orbit geometric calibration and characterization
Robert E. Wolfe et al.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2013)
Forecasting fire dynamics using inverse computational fluid dynamics and tangent linearisation
W. Jahn et al.
ADVANCES IN ENGINEERING SOFTWARE (2012)
Effects of slope on fire spread observed through video images and multiple-point thermal measurements
Xavier Silvani et al.
EXPERIMENTAL THERMAL AND FLUID SCIENCE (2012)
DEVS-FIRE: design and application of formal discrete event wildfire spread and suppression models
Xiaolin Hu et al.
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL (2012)
Wildfire Management and Forecasting Fire Potential: The Roles of Climate Information and Social Networks in the Southwest United States
Gigi Owen et al.
WEATHER CLIMATE AND SOCIETY (2012)
A Comparative Review on Wildfire Simulators
George D. Papadopoulos et al.
IEEE SYSTEMS JOURNAL (2011)
A wildland fire model with data assimilation
Jan Mandel et al.
MATHEMATICS AND COMPUTERS IN SIMULATION (2008)
Diagnosis and tuning of observational error in a quasi-operational data assimilation setting
B Chapnik et al.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2006)
Diagnosis of observation, background and analysis-error statistics in observation space
G. Desroziers et al.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2005)
Properties and first application of an error-statistics tuning method in variational assimilation
B Chapnik et al.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2004)
Diagnosis and adaptive tuning of observation-error parameters in a variational assimilation
G Desroziers et al.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2001)
Share Paper
