Convective Density Current Circulations That Modulated Meso-γ Surface Winds near the Yarnell Hill Fire
Abstract
:1. Introduction
2. Methodology
3. Validation
4. Simulated Meso-γ-Scale Convective Circulations in Peeples Valley
4.1. Primary Density Current Acceleration and FRJ Formation
4.2. Microbursts and Thermodynamic Structure above the FRJ
4.3. Subsequent Meso-High-Induced Wind Surges toward the Deployment Canyon
5. Summary and Conclusions
- (1)
- The hydraulic head accompanying the density current lifted a substantial volume of air to in excess of 4500 m MSL, creating a high-based FRJ extending far upstream and back into Peeples Valley.
- (2)
- The ascending air parcels in (1) reached their level of free convection behind the hydraulic head, creating multiple very high-based convective cells above a dry lower-tropospheric airmass.
- (3)
- The subsequent primary convective cell created a precipitation shaft into the undersaturated air and produced evaporative cooling, causing a dry microburst, which resulted in a trailing meso-high and surface cold pool several km upstream that supported additional surface outflow and airflow towards the southwest. In essence, this created a trailing weaker-density current circulation.
- (4)
- At least one, if not more, additional upstream convective cells replicated the sequence in (3) resulted in the reinforcement and thus dangerous prolongment upstream of meso-high formation and southwesterly-directed outflow towards the Hotshots’ canyon location up to and beyond the period leading to the arrival of the fire from that same direction.
- (5)
- The mass and momentum fields aligned with the canyon entrance produced a surface high pressure and momentum “plume” or “tongue” in sync with the arrival of the fire just before the demise of the firefighters. This feature represented a surge of mass directed toward the canyon location from the same direction the fire was propagating as well as a locally intensified vertical wind shear profile.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
References
- Wildland Fire Lessons Learned Center. HARRIS FIRE: Harris Fire Entrapment and Burn Injury—16 July 2021. 2021. Available online: https://www.wildfirelessons.net/orphans/viewincident?DocumentKey=39ea6957-0b59-4a26-bd81-91eb5ee93099 (accessed on 20 March 2023).
- Wildland Fire Lessons Learned Center. DEVILS CREEK FIRE: Devils Creek Fire Entrapment—22 July 2021. 2021. Available online: https://www.wildfirelessons.net/orphans/viewincident?DocumentKey=f698debc-4bbb-484c-bb75-949dd3d8928e (accessed on 20 March 2023).
- Scientific American. CARR FIRE: The Carr Fire Tornado—July 2018. 2019. Available online: https://www.scientificamerican.com/article/can-scientists-predict-fire-tornadoes/ (accessed on 20 March 2023).
- Page, W.G.; Wagenbrenner, N.S.; Butler, B.W.; Forthofer, J.M.; Gibson, C. An evaluation of NDFD weather forecasts for wildland fire behavior prediction. Weather Forecast. 2018, 33, 301–315. [Google Scholar] [CrossRef]
- Karels, J.; Dudley, M. Yarnell Hill Fire Serious Accident Investigation Report; Arizona State Forestry Division: Phoenix, AZ, USA, 2013.
- Coen, J.L.; Schroeder, W. Coupled Weather–Fire Modeling: From Research to Operational Forecasting. Fire Manag. Today 2017, 75, 39–45. [Google Scholar]
- Kaplan, M.L.; James, C.N.; Ising, J.; Sinclair, M.R.; Lin, Y.-L.; Taylor, A.; Riley, J.; Karim, S.M.S.; Wiles, J. The Multi-Scale Dynamics Organizing a Favorable Environment for Convective Density Currents that Redirected the Yarnell Hill Fire. Climate 2021, 9, 170. [Google Scholar] [CrossRef]
- Ising, J.; Kaplan, M.L.; Lin, Y.-L. Effects of Density Current, Diurnal Heating, and Local Terrain on the Mesoscale Environment Conducive to the Yarnell Hill Fire. Atmosphere 2022, 13, 215. [Google Scholar] [CrossRef]
- YHFR (Yarnell Hill Fire Revelations): Yarnell Hill Fire—30 June 2013, Eyewitness Research Data. Available online: https://www.yarnellhillfirerevelations.com/ (accessed on 15 December 2022).
- Charba, J. Application of gravity current model to analysis of squall-line gust front. Mon. Weather Rev. 1974, 102, 140–156. [Google Scholar] [CrossRef]
- Wakimoto, R.M. The Life Cycle of Thunderstorm Gust Fronts as Viewed with Doppler Radar and Rawinsonde Data. Mon. Weather Rev. 1982, 110, 1060–1082. [Google Scholar] [CrossRef]
- Droegemeier, K.K.; Wilhelmson, R.B. Numerical Simulation of Thunderstorm Outflow Dynamics. Part I: Outflow Sensitivity Experiments and Turbulence Dynamics. J. Atmos. Sci. 1987, 44, 1180–1210. [Google Scholar] [CrossRef]
- Liu, C.-H.; Moncrieff, M.W. A numerical study of the effects of ambient flow and shear on density currents. Mon. Weather Rev. 1996, 124, 2282–2303. [Google Scholar] [CrossRef]
- Moncrieff, M.W.; So, D.W.K. A hydrodynamical theory of conservative bounded density currents. J. Fluid Mech. 1989, 198, 177–197. [Google Scholar] [CrossRef]
- Liu, C.-H.; Moncrieff, M.W. An analytical study of density currents in sheared, stratified fluids including the effects of latent heating. J. Atmos. Sci. 1996, 53, 3303–3312. [Google Scholar] [CrossRef]
- Xu, Q. Density currents in shear flows—A two-fluid model. J. Atmos. Sci. 1992, 49, 511–524. [Google Scholar] [CrossRef]
- Moncrieff, M.W.; Liu, C.-H. Convection initiation by density currents: Role of convergence, shear, and dynamical organization. Mon. Weather Rev. 1999, 127, 2455–2464. [Google Scholar] [CrossRef]
- Luchetti, N.T.; Friedrich, K.; Rodell, C.E.; Lundquist, J.K. Characterizing thunderstorm gust fronts near complex terrain. Mon. Weather Rev. 2020, 148, 3267–3286. [Google Scholar] [CrossRef]
- Luchetti, N.T.; Friedrich, K.; Rodell, C.E. Evaluating thunderstorm gust fronts in New Mexico and Arizona. Mon. Weather Rev. 2020, 148, 4943–4956. [Google Scholar] [CrossRef]
- Weckworth, T.M.; Wakimoto, R.M. The Initiation and Organization of Convective Cells atop a Cold-Air Outflow Boundary. Mon. Weather Rev. 1992, 120, 2169–2187. [Google Scholar] [CrossRef]
- Jin, Y.; Koch, S.E.; Lin, Y.-L.; Ralph, F.M.; Chen, C. Numerical simulation of an observed gravity current and gravity waves in an environment characterized by complex stratification and shear. J. Atmos. Sci. 1996, 53, 3570–3588. [Google Scholar] [CrossRef]
- Wilson, J.W.; Megenhardt, D.L. Thunderstorm initiation, organization, and lifetime associated with Florida boundary layer convergence lines. Mon. Weather Rev. 1997, 125, 1507–1525. [Google Scholar] [CrossRef]
- Weisman, M.L.; Rotunno, R. “A Theory for Strong Long-Lived Squall Lines” Revisited. J. Atmos. Sci. 2004, 61, 361–382. [Google Scholar] [CrossRef]
- Seigel, R.B.; Van den Heever, S.C. Dust Lofting and Ingestion by Supercell Storms. J. Atmos. Sci. 2012, 69, 1453–1473. [Google Scholar] [CrossRef] [Green Version]
- Bryan, G.H.; Rotunno, R. The optimal state for gravity currents in shear. J. Atmos. Sci. 2014, 71, 448–468. [Google Scholar] [CrossRef]
- Reif, D.K.; Blustein, H.B.; Weckworth, T.B.; Wirnhoff, Z.B.; Chasteen, M.B. Estimating the Maximum Vertical Velocity at the Leading Edge of a Density Current. J. Atmos. Sci. 2020, 77, 3683–3700. [Google Scholar] [CrossRef]
- Wilson, J.W.; Roberts, R.D.; Kessinger, C.; McCarthy, J. Microburst wind structure and evaluation of Doppler radar for airport wind shear detection. J. Clim. Appl. Meteorol. Climatol. 1984, 23, 898–915. [Google Scholar] [CrossRef]
- Wakimoto, R.M. Forecasting Dry Microburst Activity over the High Plains. Mon. Weather Rev. 1985, 113, 1131–1143. [Google Scholar] [CrossRef]
- Fujita, T.T. The Downburst: Microburst and Macroburst; SMRP Research Paper 210; [NTIS PB85-148880]; University of Chicago: Chicago, IL, USA, 1985; 122p. [Google Scholar]
- Fujita, T.T. Downbursts: Meteorological features and wind field characteristics. J. Wind Eng. Ind. Aerodyn. 1990, 36, 75–86. [Google Scholar] [CrossRef]
- Proctor, F.H. Numerical simulations of an isolated microburst. Part I: Dynamics and structure. J. Atmos. Sci. 1988, 45, 3137–3160. [Google Scholar] [CrossRef]
- Hjelmfelt, M.R. The microbursts of 22 June 1982 in JAWS. J. Atmos. Sci. 1987, 44, 1646–1665. [Google Scholar] [CrossRef]
- Hjelmfelt, M.R. Structure and life cycle of microburst outflows observed in Colorado. J. Appl. Meteorol. Climatol. 1988, 27, 900–927. [Google Scholar] [CrossRef]
- Hjelmfelt, M.R. Microbursts and macrobursts: Windstorms and blowdowns. In Plant Disturbance Ecology: The Process and the Response; Johnson, E., Miyanishi, K., Eds.; Academic Press: Cambridge, MA, USA, 2010; pp. 59–101. [Google Scholar]
- Elmore, K.L. Evolution of a microburst and bow-shaped echo during JAWS. Preprints. In Proceedings of the 23rd Conference on Radar Meteorology and Conference on Cloud Physics: Joint Sessions, Snowmass, Colorado, 22–26 September 1986; American Meteorological Society: Boston, MA, USA, 1986; pp. 101–104. [Google Scholar]
- Roberts, R.D.; Wilson, J.W. A proposed microburst nowcasting procedure using single-Doppler radar. J. Appl. Meteorol. Climatol. 1989, 28, 285–303. [Google Scholar] [CrossRef]
- Skamarock, W.C. Evaluating mesoscale NWP models using kinetic energy spectra. Mon. Weather Rev. 2004, 132, 3019–3032. [Google Scholar] [CrossRef]
- Skamarock, W.C.; Klemp, J.B.; Dudhia, J.; Gill, D.O.; Barker, D.M.; Wang, W.; Powers, J.G. A Description of the Advanced Research WRF Version 3. NCAR Tech. Note NCAR/TN-4751STR; National Center for Atmospheric Research: Boulder, CO, USA, 2008. [Google Scholar]
- Skamarock, W.C.; Klemp, J.B.; Dudhia, J.; Gill, D.O.; Liu, Z.; Berner, J.; Wang, W.; Powers, J.G.; Duda, M.G.; Barker, D.; et al. A Description of the Advanced Research WRF Model Version 4.3; (No. NCAR/TN-556+STR); National Center for Atmospheric Research: Boulder, CO, USA, 2021; p. 145. [Google Scholar]
- Hemri, S.; Hewson, T.; Gascon, E.; Rajczak, J.; Bhend, J.; Spririg, C.; Moret, L.; Liniger, M. How Do ecPoint Precipitation Forecasts Compare with Postprocessed Multi-Model Ensemble Predictions over Switzerland? Technical Memorandum #901; European Center for Medium Range Weather Forecasting: Reading, UK, 2022. [Google Scholar]
- Chen, S.-H.; Sun, W.-Y. A one-dimensional time dependent cloud model. J. Meteorol. Soc. Jpn. 2002, 80, 99–118. [Google Scholar] [CrossRef] [Green Version]
- Monin, A.S.; Obukhov, A.M. Basic laws of turbulent mixing in the surface layer of the atmosphere. Tr. Akad. Nauk SSSR Geofiz. Inst. 1954, 24, 163–187, English translation by John Miller, 1959. [Google Scholar]
- Janjic, Z. The Step–Mountain Eta Coordinate Model: Further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon. Weather Rev. 1994, 122, 927–945. [Google Scholar] [CrossRef]
- Janjic, Z. The surface layer in the NCEP Eta Model. In Proceedings of the Eleventh Conference on Numerical Weather Prediction, Norfolk, VA, USA, 19–23 August 1996; American Meteorological Society: Boston, MA, USA; pp. 354–355. [Google Scholar]
- Janić, Z.I. Nonsingular Implementation of the Mellor-Yamada Level 2.5 Scheme in the NCEP Meso Model; National Centers for Environmental Prediction (U.S.): College Park, MD, USA, 2001. [Google Scholar]
- Tewari, M.; Cuenca, R.; Chen, F.; Wang, A.; Dudhia, J.; LeMone, M.; Mitchell, K.; Ek, M.; Gayno, G.; Wegiel, J.; et al. Implementation and verification of the unified NOAH land surface model in the WRF model. In Proceedings of the 20th Conference on Weather Analysis and Forecasting/16th Conference on Numerical Weather Prediction, Seattle, WA, USA, 10–12 January 2004; pp. 11–15. [Google Scholar]
- Mesinger, F. Forecasting upper tropospheric turbulence within the framework of the Mellor-Yamada 2.5 closure. Res. Activ. Atmos. Ocean. Mod. 1993, 18, 4.28–4.29. [Google Scholar]
- Grell, G.A.; Freitas, S.R. A scale and aerosol aware stochastic convective parameterization for weather and air quality modeling. Atmos. Chem. Phys. 2014, 14, 5233–5250. [Google Scholar] [CrossRef] [Green Version]
- Bryan, G.H.; Wyngaard, J.C.; Fritsch, J.M. Resolution requirements for the simulation of deep moist convection. Mon. Weather Rev. 2003, 131, 2394–2416. [Google Scholar] [CrossRef]
- Lebo, C.J.; Morrison, H. Effects of Horizontal and Vertical Grid Spacing on Mixing in Simulated Squall Lines and Implications for Convective Strength and Structure. Mon. Weather Rev. 2015, 143, 4355–4375. [Google Scholar] [CrossRef]
- Doyle, J.D.; Durran, D.R. The dynamics of mountain-wave-induced rotors. J. Atmos. Sci. 2002, 59, 186–201. [Google Scholar] [CrossRef]
Model | ARW-WRF Version 4.4 |
---|---|
Mode | LES |
Map Projection | Lambert conformal |
Horizontal Grid Distribution | Arakawa C-grid |
Vertical Coordinate | Terrain-following non-hydrostatic hybrid pressure vertical coordinate |
Initial Conditions | The authors of [8] generated 777 m grid wrf output data |
Horizontal Grid Resolution | Δx = Δy = 259 m |
Domain Size (Grid Points) | 1840 in the x-direction and1762 in the y-direction |
Vertical Levels | 50 |
Time Steps | Fractional time steps; 0.8 s |
Physics | |
Microphysics | Purdue–Lin |
Surface layer | Eta similarity scheme |
Land-Surface Physics | Unified Noah land surface model |
Radiation Scheme | Long wave: RRTM; short wave: Dudhia |
No PBL and cumulus parameterization schemes | |
Dynamics | |
Time-integration | Range-Kutta 3rd order |
Turbulence and Mixing | Mixing terms in physical space (x, y, z) (option 2 in the WRF namelist). |
Eddy Coefficient | 1.5 order TKE closure (3D) |
epssm | 0.9; time off-centering for vertical sound waves |
Peeples Valley | ||||||
---|---|---|---|---|---|---|
Time (UTC) | 10 m Wind Velocity (ms−1) | 10 m Wind Direction (°) | 10 m Temperature (°C) | |||
Observations | Simulations | Observations | Simulations | Observations | Simulations | |
2224/2230 | 7 | 15 | 225 | 270 | 36 | 37 |
2239/2245 | 7 | 7 | 248 | 315 | 35 | 37 |
2254/2300 | 3 | 21 | 248 | 67 | 35 | 31 |
2309/2305 | 4 | 19 | 270 | 67 | 34 | 37 |
2324/2310 | 3 | 19 | 337 | 90 | 34 | 33 |
2339/2340 | 4 | 19 | 45 | 135 | 32 | 33 |
2354/2355 | 6 | 11 | 23 | 157 | 30 | 31 |
0009/0000 | 6 | 11 | 23 | 157 | 30 | 35 |
Stanton | ||||||
2245/2301 | 6 | 6 | 225 | 180 | 39 | 39 |
2355/0001 | 13 | 17 | 23 | 23 | 35 | 36 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Kaplan, M.L.; Karim, S.M.S.; Wiles, J.T.; James, C.N.; Lin, Y.-L.; Riley, J. Convective Density Current Circulations That Modulated Meso-γ Surface Winds near the Yarnell Hill Fire. Fire 2023, 6, 130. https://doi.org/10.3390/fire6040130
Kaplan ML, Karim SMS, Wiles JT, James CN, Lin Y-L, Riley J. Convective Density Current Circulations That Modulated Meso-γ Surface Winds near the Yarnell Hill Fire. Fire. 2023; 6(4):130. https://doi.org/10.3390/fire6040130
Chicago/Turabian StyleKaplan, Michael L., S. M. Shajedul Karim, Jackson T. Wiles, Curtis N. James, Yuh-Lang Lin, and Justin Riley. 2023. "Convective Density Current Circulations That Modulated Meso-γ Surface Winds near the Yarnell Hill Fire" Fire 6, no. 4: 130. https://doi.org/10.3390/fire6040130
APA StyleKaplan, M. L., Karim, S. M. S., Wiles, J. T., James, C. N., Lin, Y. -L., & Riley, J. (2023). Convective Density Current Circulations That Modulated Meso-γ Surface Winds near the Yarnell Hill Fire. Fire, 6(4), 130. https://doi.org/10.3390/fire6040130