Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Angel Farguell"'
Autor:
Angel Farguell, Jack Ryan Drucker, Jeffrey Mirocha, Philip Cameron-Smith, Adam Krzysztof Kochanski
Publikováno v:
Fire, Vol 7, Iss 10, p 358 (2024)
This study presents a novel reanalysis dataset of dead fuel moisture content (DFMC) across California from 2000 to 2020 at a 2 km resolution. Utilizing a data assimilation system that integrates a simplified time-lag fuel moisture model with 10-h fue
Externí odkaz:
https://doaj.org/article/0ff23b46d71a461ea517f71f06aa7c2f
Publikováno v:
Frontiers in Forests and Global Change, Vol 7 (2024)
Externí odkaz:
https://doaj.org/article/57e9e3b07c17459090f5a713b34e7abb
Autor:
Adam K. Kochanski, Kathleen Clough, Angel Farguell, Derek V. Mallia, Jan Mandel, Kyle Hilburn
Publikováno v:
Frontiers in Forests and Global Change, Vol 6 (2023)
Correctly initializing the fire within coupled fire-atmosphere models is critical for producing accurate forecasts of meteorology near the fire, as well as the fire growth, and plume evolution. Improperly initializing the fire in a coupled fire-atmos
Externí odkaz:
https://doaj.org/article/5af9c2bd061e4cd9ab2bd64bcffe0c26
Publikováno v:
Frontiers in Forests and Global Change, Vol 6 (2023)
In this study, observations of live fuel moisture content (LFMC) for predominantly sampled fuels in six distinct regions of California were examined from 2000 to 2021. To gather the necessary data, an open-access database called the Fuel Moisture Rep
Externí odkaz:
https://doaj.org/article/8d32a16ae8a4482c8a67fed83dcb49d7
Publikováno v:
Fire, Vol 6, Iss 9, p 332 (2023)
Despite recent advances in both coupled fire modeling and measurement techniques to sample the fire environment, the fire–atmosphere coupling mechanisms that lead to fast propagating wildfires remain poorly understood. This knowledge gap adversely
Externí odkaz:
https://doaj.org/article/f88da4029b6140298d7f04bf040f7431
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2203 (2021)
Producing high-resolution near-real-time forecasts of fire behavior and smoke impact that are useful for fire and air quality management requires accurate initialization of the fire location. One common representation of the fire progression is throu
Externí odkaz:
https://doaj.org/article/f3524b18639945f7b5ac9adc02e07e13
Autor:
Derek V. Mallia, Adam K. Kochanski, Shawn P. Urbanski, Jan Mandel, Angel Farguell, Steven K. Krueger
Publikováno v:
Atmosphere, Vol 11, Iss 8, p 832 (2020)
Forecasting fire growth, plume rise and smoke impacts on air quality remains a challenging task. Wildland fires dynamically interact with the atmosphere, which can impact fire behavior, plume rises, and smoke dispersion. For understory fires, the fir
Externí odkaz:
https://doaj.org/article/e2084ca344c340e4a05295d19085e070
Publikováno v:
Advances in Forest Fire Research 2018, edited by D.X. Viegas, Imprensa da Universidade de Coimbra, 1918, pp. 959-968
Data likelihood of fire detection is the probability of the observed detection outcome given the state of the fire spread model. We derive fire detection likelihood of satellite data as a function of the fire arrival time on the model grid. The data
Externí odkaz:
http://arxiv.org/abs/1808.03318
Publikováno v:
Lecture Notes in Computer Science 10861, pp. 711-723, 2018
Assimilation of data into a fire-spread model is formulated as an optimization problem. The level set equation, which relates the fire arrival time and the rate of spread, is allowed to be satisfied only approximately, and we minimize a norm of the r
Externí odkaz:
http://arxiv.org/abs/1804.03995
Autor:
Wei Xing, Adam K. Kochanski, Kerry E. Kelly, Steven K. Krueger, Logan Mitchell, Tom Becnel, Pierre-Emmanuel Gaillardon, Derek V. Mallia, Jan Mandel, Ross T. Whitaker, Angel Farguell, Alexander A. Jacques
Publikováno v:
Journal of Geophysical Research: Atmospheres. 125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4d0be86a29569e4da4b506da9ba1f82
https://doi.org/10.1029/2020jd032712
https://doi.org/10.1029/2020jd032712