Results 51 to 60 of about 19,444 (109)

dargueso/UH-SOEST-WRF-Windpower: UH-SOEST-WRF-Windpower_v1.0.1

, 2022
Modified version of WRF to write out wind energy variables at specific above-the-ground levels and its ...
Daniel Argüeso
core   +1 more source

Convolutional neural networks for wildfire spread and intensity prediction

Applied Computing and Geosciences
Wildfires significantly impact ecosystems, human health, infrastructure, and the climate, making accurate prediction of fire behavior and its effects critical.
Maryam Moradpour, Pankaj Kumar, Gholam Ali Hoshyaripour   +2 more
doaj   +1 more source

Sensitivity of Simulated Fire‐Generated Circulations to Fuel Characteristics During Large Wildfires

Journal of Geophysical Research: Atmospheres, Volume 129, Issue 6, 28 March 2024.
Abstract Coupled fire‐atmosphere models often struggle to simulate important fire processes like fire generated flows, deep flaming fronts, extreme updrafts, and stratospheric smoke injection during large wildfires. This study uses the coupled fire‐atmosphere model, WRF‐Fire, to examine the sensitivities of some of these phenomena to the modeled total ...
Matthew Roberts, Neil P. Lareau, Timothy W. Juliano, Kasra Shamsaei, Hamed Ebrahimian, Branko Kosovic   +5 more
wiley   +1 more source

WRF-CMake: integrating CMake support into the Advanced Research WRF (ARW) modelling system

, 2019
<p>WRF-CMake adds CMake support to the latest versions of the Advanced Research Weather Research and Forecasting (WRF) model. This page is used to maintain a permanent DOI for versions of WRF-CMake.
Meyer, D. (6910301), Riechert, M., Meyer, D., Riechert, M. (6910304)   +3 more
core   +1 more source

Coupled Atmosphere–Fire Modelling of Pyroconvective Activity in Portugal

Fire
This study investigates the physical interactions and between forest fires and the atmosphere, which often lead to conditions favourable to instability and the formation of pyrocumulus (PyCu). Using the coupled atmosphere–fire spread modelling framework,
Ricardo Vaz, Rui Silva, Susana Cardoso Pereira, Ana Cristina Carvalho, David Carvalho, Alfredo Rocha   +5 more
doaj   +1 more source

WRF-Hydro-iso-tag source code and test case

, 2022
This is the source code of WRF-Hydro-iso-tag, that is the version of the isotope-enabled coupled atmospheric-hydrological WRF-Hydro model enhanced with a isotope tracing procedure from Arnault et al. (in review).
Joel Arnault (10972983)
core   +1 more source

Simulating the impacts of regional wildfire smoke on ozone using a coupled fire-atmosphere-chemistry model [PDF]

Wildland fires emit pollutants such as fine particulates (PM2.5), and ozone (O3) precursors that can adversely impact air quality. To better understand processes that directly influence smoke transport and plume chemistry, this study leveraged a coupled ...
Kochanski, Adam K., Farguell, Angel, Mandel, Jan, White, Cambria, Mallia, Derek V.   +4 more
core   +1 more source

Simulation setup for "Budget analyses in the Cartesian coordinate system with application to the WRF model"

, 2021
This code is used for a simulation of a convective boundary layer over mountainous terrain with WRFlux version 1.2 which is based on WRF version 4.2.2 (https://github.com/wrf-model/WRF/releases/tag/v4.2.2).
Matthias Göbel
core   +1 more source

Interactions Between a High-Intensity Wildfire and an Atmospheric Hydraulic Jump in the Case of the 2023 Lahaina Fire

Atmosphere
On 8 August 2023, a grass fire that started in the city of Lahaina, Hawai’i, grew into the deadliest wildfire in the United States since 1918. This wildfire offers a unique opportunity to explore the impact of high heat output on an atmospheric hydraulic
Clifford Ehrke, Angel Farguell, Adam K. Kochanski   +2 more
doaj   +1 more source

WRF-Hydro-vJA source code and test case

, 2022
This is the source code of a personal version of the coupled WRF-Hydro model, based on WRF Model Version 4.4 and WRF-Hydro Model Version 5.2.
Joel Arnault (10972983)
core   +1 more source