Analyses of BlueSky Gateway PM2.5 predictions during the 2007 southern and 2008 northern California fires

Journal of Geophysical Research Atmospheres

Volumn 117, Issue 17, 2012, Pages

  Strand, Tara M ^a,b   Larkin, Narasimham ^b,c   Craig, Kenneth J ^d   Raffuse, Sean ^d   Sullivan, Dana ^d   Solomon, Robert ^b   Rorig, Miriam ^b   Wheeler, Neil ^d   Pryden, Daniel ^d,e  

^a SCION   (New Zealand)

^b Pacific Wildland Fire Sciences Laboratory   (United States)

^c University of Washington   (United States)

^d SONOMA TECHNOLOGY INC   (United States)

^e GOOGLE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR QUALITY; FORECASTING;

AIR QUALITY MODELING; CALIFORNIA; COARSE GRID; FIRE PREDICTION; MAXIMUM VALUES; OFFSHORE FLOWS; ONSHORE FLOW; PREDICTION PERFORMANCE; SMOKE PLUME; SOUTHERN CALIFORNIA; SURFACE CONCENTRATION; SYNOPTIC WEATHER PATTERNS;

FIRES;

AIR QUALITY; ATMOSPHERIC PLUME; ATMOSPHERIC POLLUTION; CLIMATE PREDICTION; PARTICULATE MATTER; SMOKE; SPATIOTEMPORAL ANALYSIS; TERRAIN; WEATHER MODIFICATION; WILDFIRE;

CALIFORNIA; UNITED STATES;

EID: 84866002534     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2012JD017627     Document Type: Article

References (60)

1. Akagi, S. K., et al. (2011), Evolution of trace gases and particles emitted by a chaparral fire in California, Atmos. Chem. Phys. Discuss., 11, 22,483-22,544, doi:10.5194/acpd-11-22483-2011.
2. Alvarado, M. J., and R. G. Prinn (2009), Formation of ozone and growth of aerosols from biomass burning: 1. Lagrangian parcel studies, J. Geophys. Res., 114, D09306, doi:10.1029/2008JD011144.
3. Alvarado, M. J., C. Wang, and R. G. Prinn (2009), Formation of ozone and growth of aerosols in young smoke plumes from biomass burning: 2. Three-dimensional Eulerian studies, J. Geophys. Res., 114, D09307, doi:10.1029/2008JD011186.
4. Anderson, G. K., D. V. Sandberg, and R. Norheim (2004), Fire emission production simulator user's guide, version 1.0, report, 97 pp., Joint Fire Sci. Program, Boise, Idaho.
5. Andreae, M. O., and P. J. Crutzen (1997), Atmospheric aerosols: Biogeo-chemical sources and role in atmospheric chemistry, Science, 276, 1052-1058, doi:10.1126/science.276.5315.1052. (Pubitemid 27218103)
6. Bollman, A. D., and G. M. Stella (2001), Economic Growth Analysis System (EGAS) Version 4.0, paper presented at International Emission Inventory Conference: One Atmosphere, One Inventory, Many Challenges, U.S. Environ. Prot. Agency, Denver, Colo.
7. Boylan, J. W., and A. G. Russell (2006), PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models, Atmos. Environ., 40, 4946-4959, doi:10.1016/j.atmosenv.2005.09.087. (Pubitemid 44088472)
8. Byun, D. W., and J. K. S. Ching (Eds.) (1999), Science algorithms of the EPA Models-3 Community Multi-scale Air Quality (CMAQ) modeling system, EPA/600/R-99/030, Off. of Res. and Dev., U.S. Environ. Prot. Agency, Washington, D. C.
9. Byun, D. W., and K. L. Schere (2006), Review of the governing equations, computational algorithms, and other components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System, Appl. Mech. Rev., 59, 51-77, doi:10.1115/1.2128636. (Pubitemid 46132191)
10. Byun, D. W., J. E. Pleim, R. T. Tang, and A. Bourgeois (1999), Meteorology-Chemistry Interface Processor (MCIP) for Models-3 Community Multiscale Air Quality (CMAQ) modeling system, in Science Algorithms of the EPA Models-3 Community Multiscale Air Quality (CMAQ) Modeling System, edited by D. W. Byun and J. K. S. Ching, EPA-600/R-99/030, Off. of Res. and Dev., U.S. Environ. Prot. Agency, Washington, D. C.
11. Chen, J., J. Vaughan, J. Avise, S. O'Neill, and B. Lamb (2008), Enhancement and evaluation of the AIRPACT ozone and PM2.5 forecast system for the Pacific Northwest, J. Geophys. Res., 113, D14305, doi:10.1029/2007JD009554.
12. Chen, L.-W. A., P. Verburg, A. Shackelford, D. Zhu, R. Susfalk, J. C. Chow, and J. G. Watson (2010), Moisture effects on carbon and nitrogen emission from burning of wildland biomass, Atmos. Chem. Phys., 10, 6617-6625, doi:10.5194/acp-10-6617-2010.
13. Cheney, N. P., and J. S. Gould (1997), Letter to the editor: Fire growth and acceleration, Int. J. Wildland Fire, 7, 1-5, doi:10.1071/WF9970001.
14. Delfino, R. J., N. Staimer, T. Tjoa, D. L. Gillen, A. Polidori, M. Arhami, M. T. Kleinman, N. D. Vaziri, J. Longhurst, and C. Sioutas (2009), Air pollution exposures and circulating biomarkers of effect in a susceptible population: Clues to potential causal component mixtures and mechanisms, Environ. Health Perspect., 117, 1232-1238, doi:10.1289/journla. ehp.0800194.
15. Dudhia, J. (1989), Numerical study of convection observed during winter monsoon experiment using a mesoscale two-dimensional model, J. Atmos. Sci., 46, 3077-3107, doi:10.1175/1520-0469(1989)0462.0.CO;2.
16. Dudhia, J. (1996), A multi-layer soil temperature model for MM5, paper presented at 6th PSU/NCAR Mesoscale Model User's Workshop, NCAR, Boulder, Colo.
17. French, N. H. F., et al. (2011), Model comparisons for estimating carbon emissions from North American wildland fire, J. Geophys. Res., 116, G00K05, doi:10.1029/2010JG001469.
18. Goode, J. G., R. A. Susott, R. E. Babbitt, M. A. Davies, and W. M. Hao (2000), Measurements of excess O3, CO2, CO, CH4, C2H4, C2H2, HCN, NO, NH3, HCOOH, CH3COOH, HCHO, and CH3OH in 1997 Alaskan biomass burning plumes by airborne Fourier transform infrared spectros-copy (AFTIR), J. Geophys. Res., 105, 22,147-22,166, doi:10.1029/2000JD900287.
19. Grell, G. A., J. Dudhia, and D. R. Stauffer (1994), A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5), NCAR Tech. Note NCAR/TN-398+STR, Mesoscale and Microscale Meteorol. Div., Natl. Cent. for Atmos. Res., Boulder, Colo.
20. Hodzic, A., S. Mdronich, B. Bohn, S. Massie, L. Menut, and C. Wiedinmyer (2007), Wildfire particulate matter in Europe during summer 2003: Meso-scale modeling of smoke emissions, transport and radiative effects, Atmos. Chem. Phys. Discuss., 7, 4705-4760, doi:10.5194/acpd-7-4705-2007. (Pubitemid 46888908)
21. Houyoux, M. R., and Z. Adelman (2001), Quality assurance enhancements to the SMOKE Modeling System, paper presented at International Emission Inventory Conference: One Atmosphere, One Inventory, Many Challenges, U.S. Environ. Prot. Agency, Denver, Colo.
22. Houyoux, M. R., J. Vukovich, and J. Brandmeyer (2000), Sparse Matrix Operator Kernel Emissions Modeling System (SMOKE) user manual, report, MCNC-North Carolina Supercomput. Cent., Environ. Programs, Research Triangle Park, N. C.
23. Hu, Y., M. T. Odmam, and G. Russell (2006), Mass conservation in the Community Multiscale Air Quality Model, Atmos. Environ., 40, 1199-1204, doi:10.1016/j.atmosenv.2005.10.038. (Pubitemid 43120744)
24. Janji?, Z. I. (1990), The step-mountain coordinate: Physical package, Mon. Weather Rev., 118, 1429-1443, doi:10.1175/1520-0493(1990)1182.0.CO;2.
25. Janji?, Z. I. (1994), The step-mountain eta coordinate model: Further development of the convection, viscous sublayer, and turbulent closure schemes, Mon. Weather Rev., 122, 927-945, doi:10.1175/1520-0493 (1994)1222.0.CO;2.
26. Janjic, Z. I. (2003), A nonhydrostatic model based on a new approach, Meteorol. Atmos. Phys., 82, 271-285, doi:10.1007/s00703-001-0587-6. (Pubitemid 37450351)
27. Kain, J. S., and J. M. Fritsch (1990), A one-dimensional entraining/detraining plume model and its application in convective parameterization, J. Atmos. Sci., 47, 2784-2802, doi:10.1175/1520-0469(1990) 0472.0.CO;2.
28. Kochi, I., G. H. Donovan, P. A. Champ, and J. B. Loomis (2010), The economic cost of adverse health effects from wildfire-smoke exposure: A review, Int. J. Wildland Fire, 19, 803-817, doi:10.1071/WF09077.
29. Larkin, N. K., S. M. O'Neill, R. Solomon, S. Raffuse, T. Strand, D. Sullivan, C. Krull, M. Rorig, J. Peterson, and S. A. Ferguson (2009), The BlueSky Smoke Modeling Framework, Int. J. Wildland Fire, 18, 906-920, doi:10.1071/WF07086.
30. McKeen, S., et al. (2007), Evaluation of several PM2.5 forecast models using data collected during the ICARTT/NEAQS 2004 field study, J. Geophys. Res., 112, D10S20, doi:10.1029/2006JD007608. (Pubitemid 47193682)
31. McKenzie, D., C. L. Raymond, L.-K. B. Kellogg, R. A. Norheim, A. G. Andreu, A. C. Bayard, K. E. Kopper, and E. Elman (2007), Mapping fuels at multiple scales: Landscape application of the Fuel Characteristic Classification System, Can. J. For. Res., 37, 2421-2437, doi:10.1139/X07-056. (Pubitemid 351202319)
32. Miranda, A. I. (2004), An integrated numerical system to estimate air quality effects of forest fires, Int. J. Wildland Fire, 13, 217-226, doi:10.1071/WF02047. (Pubitemid 39104093)
33. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough (1997), Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-k model for the longwave, J. Geophys. Res., 102, 16,663-16,682, doi:10.1029/97JD00237.
34. Naeher, L. P., M. Brauer, M. Lipsett, J. T. Zelikoff, C. D. Simpson, J. Q. Koenig, and K. R. Smith (2007), Woodsmoke health effect: A review, Inhal. Toxicol., 19, 67-106, doi:10.1080/08958370600985875. (Pubitemid 44863605)
35. Nenes, A., C. Pilinis, and S. N. Pandis (1998), A new thermodynamic equilibrium model for multiphase multicomponent inorganic aerosols, Aquat. Geochem., 4, 123-152, doi:10.1023/A:1009604003981. (Pubitemid 29126367)
36. O'Neill, S. M., N. K. Larkin, J. Hoadley, G. Mills, J. K. Vaughan, R. R. Draxler, G. Rolph, M. Ruminski, and S. A. Ferguson (2008), Regional real-time smoke prediction systems, in Wildland Fires and Air Pollution, Developments in Environmental Science, edited by A. Bytnerowicz et al., pp. 499-534, vol. 8, Elsevier, Oxford, U. K., doi:10.1016/S1474-8177 (08)00022-3
37. Otte, T. L., and J. E. Pleim (2010), The Meteorology-Chemistry Interface Processor (MCIP) for the CMAQ modeling system: Updates through MCIPv3.4.1, Geosci. Model Dev., 3, 243-256, doi:10.5194/gmd-3-243-2010.
38. Ottmar, R. D., S. J. Prichard, R. E. Vihnanek, and D. V. Sandberg (2002), Modification and validation of fuel consumption models for shrub and forested lands in the Southwest, Pacific Northwest, Rockies, Midwest, Southeast, and Alaska, final report, Joint Fire Sci. Program, Boise, Idaho.
39. Pfister, G. G., C. Wiedinmyer, and L. K. Emmons (2008), Impacts of the fall 2007 California wildfires on surface ozone: Integrating local observations with global model simulations, Geophys. Res. Lett., 35, L19814, doi:10.1029/2008GL034747.
40. Pleim, J. E., and J. S. Chang (1992), A non-local closure model in the con-vective boundary layer, Atmos. Environ., 26, 965-981, doi:10.1016/0960- 1686(92)90028-J.
41. Raffuse, S. M., D. A. Pryden, D. C. Sullivan, N. K. Larkin, T. Strand, and R. Solomon. (2009), SMARTFIRE algorithm description, report, Sonoma Technol., Inc., Petaluma, Calif.
42. Reid, J. S., E. M. Prins, D. L. Westphal, C. C. Schmidt, K. A. Richardson, S. A. Christopher, T. F. Eck, E. A. Reid, C. A. Curtis, and J. P. Hoffman (2004), Real-time monitoring of South American smoke particle emissions and transport using a coupled remote sensing/box-model approach, Geophys. Res. Lett., 31, L06107, doi:10.1029/2003GL018845.
43. Rolph, G. D., et al. (2009), Description and verification of the NOAA smoke forecasting system: The 2007 fire season, Weather Forecast., 24, 361-378, doi:10.1175/2008WAF2222165.1.
44. Ruminski, M., S. Kondragunta, R. Draxler, and G. Rolph (2007), Use of environmental satellite imagery for smoke depiction and transport model initialization, paper presented at 16th Annual International Emission Inventory Conference: Emission Inventories-Integration, Analysis, and Communications, U.S. Environ. Prot. Agency, Raleigh, N. C. [Available at http://www.epa.gov/ttn/ chief/conference/ei16/session10/ruminski.pdf.]
45. Russell, M., D. T. Allen, D. R. Collins, and M. P. Faser (2004), Daily, seasonal, and spatial trends in PM2.5 mass and composition in southeast Texas, Aerosol Sci. Technol., 38, 14-26, doi:10.1080/02786820390229318. (Pubitemid 38667961)
46. Schell, B., I. J. Ackermann, H. Hass, F. S. Binkowski, and A. Ebel (2001), Modeling the formation of secondary organic aerosol within a comprehensive air quality model system, J. Geophys. Res., 106, 28,275-28,293, doi:10.1029/2001JD000384.
47. Schwartz, J., G. Norris, T. Larson, L. Sheppard, C. Claiborne, and J. Koenig (1999), Episodes of high coarse particle concentrations are not associated with increased mortality, Environ. Health Perspect., 107, 339-342, doi:10.1289/ehp.99107339. (Pubitemid 29405838)
48. Seigneur, C., et al. (2000), Guidance for the performance evaluation of three-dimensional air quality modeling systems for particulate matter and visibility, J. Air Waste Manage., 50, 588-599, doi:10.1080/10473289.2000. 10464036. (Pubitemid 30396755)
49. Singh, H. B., C. Cai, A. Kaduwela, A. Weinheimer, and A. Wisthaler (2012), Interactions of fire emissions and urban pollution over California: Ozone formation and air quality simulations, Atmos. Environ., 56, 45-51, doi:10.1016/j.atmosenv.2012.03.046.
50. Stohl, A., M. Hittenberger, and G. Wotawa (1998), Validation of the Lagrangian particle dispersion model FLEXPART against large-scale tracer experiment data, Atmos. Environ., 32, 4245-4264, doi:10.1016/S1352-2310(98) 00184-8. (Pubitemid 28540961)
51. Strand, T. M., N. Larkin, M. Rorig, C. Krull, and M. Moore (2011), PM2.5 measurements in wildfire smoke plumes from fire season 2005-2008 in the northwestern United States, J. Aerosol Sci., 42, 143-155, doi:10.1016/j. jaerosci.2010.09.001.
52. Tian, D., Y. Hu, Y. Wang, J. W. Boylan, M. Zheng, and A. G. Russell (2009), Assessment of biomass burning emissions and their impacts on urban and regional PM2 5: A Georgia case study, Environ. Sci. Technol, 43, 299-305, doi:10.1021/es801827s.
53. U.S. Environmental Protection Agency (2003), User's guide to MOBILE6.1 and MOBILE6.2 mobile source emission factor model, report, Off. of Transport. and Air Qual., Ann Arbor, Mich. [Available at http://www.epa/gov/otaq/m6.htm.]
54. U.S. Environmental Protection Agency (2006), 2002 National Emissions Inventory data & documentation, http://www.epa.gov/ttn/chief/net/ 2002inventory.html, Washington, D. C. [Updated 2 August 2007.]
55. U.S. Environmental Protection Agency (2007), Guidance on the use of models and other analyses for demonstrating attainment of air quality goals for ozone, PM2.5, and regional haze, EPA-454/B-07-002, 253 pp., Washington, D. C.
56. Vukovich, J., and T. Pierce (2002), The implementation of BEIS3 within the SMOKE modeling framework, paper presented at 11th International Emissions Inventory Conference, U.S. Environ. Prot. Agency, Atlanta, Ga. [Available at www.epa.gov/ttn/chief/conference/ei11/modeling/vukovich.pdf]
57. Wain, A. G., and G. A. Mills (2006), The Australian smoke management forecast system, BMRC Res. Rep. 117, 54 pp., Bur. of Meteorol. Res. Cent., Melbourne, Victoria, Australia.
58. Wang, J., S. A. Christopher, U. S. Nair, J. S. Reid, E. M. Prins, J. Szykman, and J. L. Hand (2006), Mesoscale modeling of Central American smoke transport to the United States: 1. "Top-down" assessment of emission strength and diurnal variation impacts, J. Geophys. Res., 111, D05S17, doi:10.1029/2005JD006416.
59. Ward, D. E., andC. C. Hardy (1991), Smoke emissions from wildland fires, Environ. Int., 17, 117-134, doi:10.1016/0160-4120(91)90095-8.
60. Yokelson, R., et al. (2007), Emissions from forest fires near Mexico City, Atmos. Chem. Phys. Discuss., 7, 6687-6718, doi:10.5194/acpd-7-6687-2007. (Pubitemid 46888952)