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Related papers: Coupled atmosphere-wildland fire modeling with WRF…

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With climate change expected to exacerbate fire weather conditions, the accurate anticipation of wildfires on a global scale becomes increasingly crucial for disaster mitigation. In this study, we utilize SeasFire, a comprehensive global…

Computer Vision and Pattern Recognition · Computer Science 2024-04-10 Dimitrios Michail , Lefki-Ioanna Panagiotou , Charalampos Davalas , Ioannis Prapas , Spyros Kondylatos , Nikolaos Ioannis Bountos , Ioannis Papoutsis

Currently available satellite active fire detection products from the VIIRS and MODIS instruments on polar-orbiting satellites produce detection squares in arbitrary locations. There is no global fire/no fire map, no detection under cloud…

Data Analysis, Statistics and Probability · Physics 2014-11-18 Jan Mandel , Adam K. Kochanski , Martin Vejmelka , Jonathan D. Beezley

Firefighting is a dynamic activity, in which numerous operations occur simultaneously. Maintaining situational awareness (i.e., knowledge of current conditions and activities at the scene) is critical to the accurate decision-making…

Computer Vision and Pattern Recognition · Computer Science 2021-07-23 Manish Bhattarai , Aura Rose Jensen-Curtis , Manel MartíNez-Ramón

In fire spread simulations, heat transfer and pyrolysis are processes to describe the thermal degradation of solid material. In general, the necessary material parameters cannot be directly measured. They are implicitly deduced from micro-…

Fluid Dynamics · Physics 2023-06-28 Tristan Hehnen , Lukas Arnold

Wildland fire dynamics is a complex turbulent dimensional process. Cellular automata (CA) is an efficient tool to predict fire dynamics, but the main parameters of the method are challenging to estimate. To overcome this challenge, we…

Cellular Automata and Lattice Gases · Physics 2017-12-14 Miles Currie , Kevin Speer , Kevin Hiers , Joseph O'Brien , Scott Goodrick , Bryan Quaife

The increasing incidence and severity of wildfires underscores the necessity of accurately predicting their behavior. While high-fidelity models derived from first principles offer physical accuracy, they are too computationally expensive…

Machine Learning · Computer Science 2022-11-01 John Burge , Matthew R. Bonanni , R. Lily Hu , Matthias Ihme

Classification of remotely sensed images into land cover or land use is highly dependent on geographical information at least at two levels. First, land cover classes are observed in a spatially smooth domain separated by sharp region…

Image and Video Processing · Electrical Eng. & Systems 2018-08-27 Devis Tuia , Michele Volpi , Gabriele Moser

Accurate prediction of wildfire spread is crucial for effective risk management, emergency response, and strategic resource allocation. In this study, we present a deep learning (DL)-based framework for forecasting the final extent of…

Machine Learning · Computer Science 2026-04-10 Nikolaos Anastasiou , Spyros Kondylatos , Ioannis Papoutsis

Predicting wildfire spread is critical for land management and disaster preparedness. To this end, we present `Next Day Wildfire Spread,' a curated, large-scale, multivariate data set of historical wildfires aggregating nearly a decade of…

Computer Vision and Pattern Recognition · Computer Science 2022-10-05 Fantine Huot , R. Lily Hu , Nita Goyal , Tharun Sankar , Matthias Ihme , Yi-Fan Chen

Combustion stabilization and enhancement of the flammability limits are mandatory objectives to improve nowadays combustion chambers. At this purpose, the use of an electric field in the flame region provides a solution which is, at the…

Fluid Dynamics · Physics 2017-12-13 M. Di Renzo , P. De Palma , M. D. de Tullio , G. Pascazio

We propose a new type of the Ensemble Kalman Filter (EnKF), which uses the Fast Fourier Transform (FFT) for covariance estimation from a very small ensemble with automatic tapering, and for a fast computation of the analysis ensemble by…

Atmospheric and Oceanic Physics · Physics 2011-08-01 Jan Mandel , Jonathan D. Beezley , Volodymyr Y. Kondratenko

Liquid ammonia combustion can be enhanced by co-firing with small molecular fuels such as methane, and liquid ammonia will undergo flash evaporation due to its relatively low saturation pressure. These characteristics, involving the…

Fluid Dynamics · Physics 2024-09-23 Zhenhua An , Jiangkuan Xing , Abhishek Lakshman Pillai , Ryoichi Kurose

Given the recent increase in wildfires, developing a better understanding of their dynamics is crucial. For this purpose, the advection-diffusion-reaction model has been widely used to study wildfire dynamics. In this study, we introduce…

Fluid Dynamics · Physics 2024-12-02 Luca Nieding , Cordula Reisch , Dirk Langemann , Adrián Navas-Montilla

High performance computing (HPC) architectures have undergone rapid development in recent years. As a result, established software suites face an ever increasing challenge to remain performant on and portable across modern systems. Many of…

One of the major impacts of climatic changes is due to destroying of forest. Destroying of forest takes place in many ways but the majority of the forest is destroyed due to wild forest fires. In this paper we have presented a path planning…

Robotics · Computer Science 2012-03-20 M. P. Sivaram Kumar , S. Rajasekaran

While solar flares are primarily associated with enhanced ultraviolet and X-ray emission, a subset of flares exhibit significant continuum brightening in visible light and are classified as white-light flares (WLFs). Despite extensive…

Solar and Stellar Astrophysics · Physics 2026-01-01 Samuel Granovsky , Alexander G. Kosovichev , Irina N. Kitiashvili , Alan A. Wray

Global wildfire spreading dynamics and severity are analyzed using the susceptible-infected-recovered (SIR) compartment model. We use the novel FireTracks (FT) Scientific Dataset covering the wildfire time series of 2002-2023.

Physics and Society · Physics 2024-04-29 Tong Pan , Hongjun Wang , Jiyuan Chen , Xuan Song

Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) was a field campaign aimed at better understanding the impact of wildfires and agricultural fires on air quality and climate. The FIREX-AQ campaign took place in…

Due to recent climate changes, we have seen more frequent and severe wildfires in the United States. Predicting wildfires is critical for natural disaster prevention and mitigation. Advances in technologies in data processing and…

Machine Learning · Computer Science 2022-09-22 Hyung-Jin Yoon , Petros Voulgaris

Wildland fires pose an increasingly serious problem in our society. The number and severity of these fires has been rising for many years. Wildfires pose direct threats to life and property as well as threats through ancillary effects like…

Machine Learning · Computer Science 2022-04-05 James D. Haley