The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Inclusion of biomass burning in WRF-Chem: impact of wildfires on weather forecasts
Open accessAbstract
Abstract. A plume rise algorithm for wildfires was included in WRF-Chem, and applied to look at the impact of intense wildfires during the 2004 Alaska wildfire season on weather simulations using model resolutions of 10 km and 2 km. Biomass burning emissions were estimated using a biomass burning emissions model. In addition, a 1-D, time-dependent cloud model was used online in WRF-Chem to estimate injection heights as well as the vertical distribution of the emission rates. It was shown that with the inclusion of the intense wildfires of the 2004 fire season in the model simulations, the interaction of the aerosols with the atmospheric radiation led to significant modifications of vertical profiles of temperature and moisture in cloud-free areas. On the other hand, when clouds were present, the high concentrations of fine aerosol (PM2.5) and the resulting large numbers of Cloud Condensation Nuclei (CCN) had a strong impact on clouds and cloud microphysics, with decreased precipitation coverage and precipitation amounts during the first 12 h of the integration. During the afternoon, storms were of convective nature and appeared significantly stronger, probably as a result of both the interaction of aerosols with radiation (through an increase in CAPE) as well as the interaction with cloud microphysics.
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Cites
A Description of the Advanced Research WRF Version 3
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D., Barker, D. M., Wang, W., Huang, X., & Duda, M. (2008) · UCAR/NCAR · doi:10.5065/d68s4mvh · Cited by 8,925
Chen, F., & Dudhia, J. (2001) · Monthly Weather Review · doi:10.1175/1520-0493(2001)129<0569:caalsh>2.0.co;2 · Cited by 5,674
Emission of trace gases and aerosols from biomass burning
Andreae, M. O., & Merlet, P. (2001) · Global Biogeochemical Cycles · doi:10.1029/2000gb001382 · Cited by 3,902
Fully coupled “online” chemistry within the WRF model
Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G., Skamarock, W. C., & Eder, B. (2005) · Atmospheric Environment · doi:10.1016/j.atmosenv.2005.04.027 · Cited by 3,748
Self-citationBulk Parameterization of the Snow Field in a Cloud Model
Lin, Y.-L., Farley, R. D., & Orville, H. D. (1983) · Journal of Climate and Applied Meteorology · doi:10.1175/1520-0450(1983)022<1065:bpotsf>2.0.co;2 · Cited by 3,481
A single parameter representation of hygroscopic growth and cloud condensation nucleus activity
Petters, M. D., & Kreidenweis, S. M. (2007) · Atmospheric Chemistry and Physics · doi:10.5194/acp-7-1961-2007 · Cited by 2,665
A Description of the Advanced Research WRF Version 2
Skamarock, W., Klemp, J., Dudhia, J., Gill, D., Barker, D., & Wang, W. (2005) · NSF National Center for Atmospheric Research · doi:10.5065/d6dz069t · Cited by 2,504 · cited 1×
“D1 was initialized on 26 June 2004 and WRF-Chem was run to produce 24-h simulations. The North American Regional Reanalysis (NARR) from the National Centers for Environmental Prediction (NCEP) was used to provide meteorological initial and boundary conditions. Initial conditions on 26 June for the prognostic gas-phase…”
MethodGrell, G. A., & Dévényi, D. (2002) · Geophysical Research Letters · doi:10.1029/2002gl015311 · Cited by 2,271
Self-citationAn Enhanced Contextual Fire Detection Algorithm for MODIS
Giglio, L., Descloitres, J., Justice, C. O., & Kaufman, Y. J. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(03)00184-6 · Cited by 1,729
Seiler, W., & Crutzen, P. J. (1980) · Climatic Change · doi:10.1007/bf00137988 · Cited by 1,365
Cited by
A review of the relationships between drought and forest fire in the United States
Littell, J. S., Peterson, D. L., Riley, K. L., Liu, Y., & Luce, C. H. (2016) · Global Change Biology · doi:10.1111/gcb.13275 · Cited by 571
Waigl, C. F., Stuefer, M., Prakash, A., & Ichoku, C. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.07.003 · Cited by 44
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Metadata
- Authors
- Grell, G., Freitas, S. R., Stuefer, M., & Fast, J.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2011-06-06
- Volume
- 11
- Issue
- 11
- Pages
- 5289-5303
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W1995259181
- Cited by
- 289
- References
- 41
- FWCI
- 13.36
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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