Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Beezley, Jonathan D."'
Publikováno v:
Advances in Forest Fire Research, D. X. Viegas (ed), 2014, 716-724
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 cover, fals
Externí odkaz:
http://arxiv.org/abs/1410.6948
Autor:
Kochanski, Adam K., Jenkins, Mary Ann, Yedinak, Kara, Mandel, Jan, Beezley, Jonathan D., Lamb, Brian
Publikováno v:
International Journal of Wildland Fire, 25, 534-546, 2016
In this study, we describe how WRF-Sfire is coupled with WRF-Chem to construct WRFSC, an integrated forecast system for wildfire and smoke prediction. The integrated forecast system has the advantage of not requiring a simple plume-rise model and ass
Externí odkaz:
http://arxiv.org/abs/1405.4058
Publikováno v:
Proceedings of 4th Fire Behavior and Fuels Conference 2013, Wade, D. D. and Fox, R. L., eds., pp. 143-155, International Association of Wildland Fire, 2014
Atmospheric pollution regulations have emerged as a dominant obstacle to prescribed burns. Thus, forecasting the pollution caused by wildland fires has acquired high importance. WRF and SFIRE model wildland fire spread in a two-way interaction with t
Externí odkaz:
http://arxiv.org/abs/1304.7703
We describe two recent additions to WRF coupled with a fire spread model. Fire propagation is strongly dependent on fuel moisture, which in turn depends on the history of the atmosphere. We have implemented a equilibrium time-lag model of fuel moistu
Externí odkaz:
http://arxiv.org/abs/1208.1059
Autor:
Kochanski, Adam K., Jenkins, Mary Ann, Mandel, Jan, Beezley, Jonathan D., Clements, Craig B., Krueger, Steven
This study uses in-situ measurements collected during the FireFlux field experiment to evaluate and improve the performance of coupled atmosphere-fire model WRF-Sfire. The simulation by WRF-Sfire of the experimental burn shows that WRF-Sfire is capab
Externí odkaz:
http://arxiv.org/abs/1206.3345
Assimilation of Perimeter Data and Coupling with Fuel Moisture in a Wildland Fire - Atmosphere DDDAS
Autor:
Mandel, Jan, Beezley, Jonathan D., Kochanski, Adam K., Kondratenko, Volodymyr Y., Kim, Minjeong
Publikováno v:
Procedia Computer Science 9, 2012, 1100-1109
We present a methodology to change the state of the Weather Research Forecasting (WRF) model coupled with the fire spread code SFIRE, based on Rothermel's formula and the level set method, and with a fuel moisture model. The fire perimeter in the mod
Externí odkaz:
http://arxiv.org/abs/1203.2230
Publikováno v:
Forest Ecology and Management 15 (2013) 136-149
There are many wildfire behaviors of increasing relevance that are outside the forecast capabilities of even the most sophisticated operational fire spread and fire behavior model. The limitations of the operational models are due primarily to their
Externí odkaz:
http://arxiv.org/abs/1202.3209
Autor:
Mandel, Jan, Beezley, Jonathan D., Kochanski, Adam K., Kondratenko, Volodymyr Y., Zhang, Lin, Anderson, Erik, Daniels II, Joel, Silva, Claudio T., Johnson, Christopher R.
We present an overview of a modeling environment, consisting of a coupled atmosphere-wildfire model, utilities for visualization, data processing, and diagnostics, open source software repositories, and a community wiki. The fire model, called SFIRE,
Externí odkaz:
http://arxiv.org/abs/1111.4610
The current WRF-Fire model starts the fire from a given ignition point at a given time. We want to start the model from a given fire perimeter at a given time instead. However, the fuel balance and the state of the atmosphere depend on the history of
Externí odkaz:
http://arxiv.org/abs/1107.2675
Autor:
Jordanov, Georgi, Beezley, Jonathan D., Dobrinkova, Nina, Kochanski, Adam K., Mandel, Jan, Sousedík, Bedřich
Publikováno v:
Lecture Notes in Computer Science, Volume 7116, Springer, 291-298, 2012
We use a coupled atmosphere-fire model to simulate a fire that occurred on August 14--17, 2009, in the Harmanli region, Bulgaria. Data was obtained from GIS and satellites imagery, and from standard atmospheric data sources. Fuel data was classified
Externí odkaz:
http://arxiv.org/abs/1106.4736