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QUIC-URB and QUIC-fire extension to complex terrain: Development of a terrain-following coordinate system

Journal Article · · Environmental Modelling and Software
Ensemble-based approaches to prescribed fire planning cannot be supported by CFD-based models like FIRETEC and WFDS because they are too computationally expensive and cannot leverage LES approaches like CAWFE and WRF-SFIRE because too coarse of resolution. QUIC-Fire was developed to fill this gap but it cannot currently address complex terrain, typical for instance of the Western United States. In this paper, we describe the extension of the diagnostic wind model QUIC-URB, the wind engine of QUIC-Fire, to a terrain-following coordinate system. In particular, the paper presents the mathematical derivation of the wind solver leading to a linear system of equations that are solved through the successive over-relaxation method. The model is validated against a standard test used in previous works (the Askervein Hill) and against a new dataset from measurements in the Socorro Mountains, New Mexico. The terrain-following implementation captured the correct phenomenology for the isolated Askervein Hill, with a wind speed up at the top of the hill. We report the model agreed well with measurements on the upwind side of the peak, but overestimated speed-up on the downwind side of the hill. This is due to the inability of the model to generate flow separation and wake-eddy dynamics. On a common laptop, the divergence-free wind field was obtained in 6 s, making the solver appealing for coupled fire–atmosphere simulations. The Socorro Mountain was highly complex, with many cliff faces, peaks, and valleys. Although the model captures the magnitude and direction of inlet and outlet areas of the domain, it performs rather poorly in the valley region and in the regions near the steep cliffs. Hence, the model shows good agreement with data in areas of open sloped terrain but lacks in areas where flow separation and thermally driven effects may be present (neither effect was addressed in this work). Results highlight that future work should focus on the implementation of parameterizations of wake-eddies, similar to QUIC-URB’s building parameterizations, and on thermodynamic-driven flow.
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE; USDOE Laboratory Directed Research and Development (LDRD) Program
Grant/Contract Number:
89233218CNA000001
OSTI ID:
1900496
Alternate ID(s):
OSTI ID: 1961291
Report Number(s):
LA-UR-22-23520
Journal Information:
Environmental Modelling and Software, Journal Name: Environmental Modelling and Software Vol. 159; ISSN 1364-8152
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (25)

Boundary-Layer Flow Over Topography: Impacts of the Askervein Study book January 1996
The Askervein Hill project: Overview and background data journal April 1987
A Case Study of the Weather Research and Forecasting Model Applied to the Joint Urban 2003 Tracer Field Experiment. Part 2: Gas Tracer Dispersion journal July 2016
Evaluation of the QUIC-URB fast response urban wind model for a cubical building array and wide building street canyon journal August 2008
Fire spread across a sloping fuel bed: Flame dynamics and heat transfers journal April 2018
A sensitivity study of the WRF model in wind simulation for an area of high wind energy journal July 2012
QUIC-fire: A fast-running simulation tool for prescribed fire planning journal March 2020
Effects of slope on fire spread observed through video images and multiple-point thermal measurements journal September 2012
Numerical simulations of grass fires using a coupled atmosphere–fire model: Basic fire behavior and dependence on wind speed journal January 2005
A numerical study of slope and fuel structure effects on coupled wildfire behaviour journal January 2010
Wind - terrain effects on the propagation of wildfires in rugged terrain: fire channelling journal January 2012
Modelling smoke transport from wildland fires: a review journal January 2013
Coupled slope and wind effects on fire spread with influences of fire size: a numerical study using FIRETEC journal January 2012
A comparison of three approaches for simulating fine-scale surface winds in support of wildland fire management. Part I. Model formulation and comparison against measurements journal January 2014
Iterative methods for solving partial difference equations of elliptic type journal January 1954
A Technique for Maximizing Details in Numerical Weather Map Analysis journal August 1964
A Mass-Consistent Model for Wind Fields over Complex Terrain journal March 1978
Two Vectorized Algorithms for the Effective Calculation of Mass-Consistent Flow Fields journal June 1986
Diagnostic Wind Field Modeling for Complex Terrain: Model Development and Testing journal July 1988
WRF-Fire: Coupled Weather–Wildland Fire Modeling with the Weather Research and Forecasting Model journal January 2013
One-Way Coupling of the WRF–QUIC Urban Dispersion Modeling System journal October 2015
Development and Evaluation of a Reynolds-Averaged Navier–Stokes Solver in WindNinja for Operational Wildland Fire Applications journal November 2019
Exchange Processes in the Atmospheric Boundary Layer Over Mountainous Terrain journal March 2018
Numerical and Experimental Study of Topographic Speed-Up Effects in Complex Terrain journal July 2020
Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011 journal January 2011

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