Inclusion of biomass burning in WRF-Chem: impact of wildfires on weather forecasts

Grell, Georg; Freitas, Saulo R.; Stuefer, Martin; Fast, Jerome D.

doi:10.5194/acp-11-5289-2011

Cited by 246 publications

(213 citation statements)

References 45 publications

(51 reference statements)

Supporting

Mentioning

208

Contrasting

Unclassified

Order By: Relevance

“…Since it considers only a 10 day period, it is a case study that complements previous research that has examined longer periods (e.g., Freitas et al, 2007;Val Martin et al, 2010;Grell et al, 2011;Labonne et al, 2007). Two preprocessing methods for preparing biomass burning emissions are investigated, the standard WRF-Chem package (Prep chem sources) and the Naval Research Laboratory's (NRL) Fire Locating and Monitoring of Burning Emissions (FLAMBE).…”

Section: Introductionmentioning

confidence: 95%

“…Klonecki et al (2003) showed that transport into the Arctic is consistent with isentropic flow, i.e., ascent along isentropic surfaces as a plume moves north. Grell et al (2011) included a plume rise algorithm for wildfires in WRF-Chem and examined the impact of intense wildfires during the 2004 Alaska wildfire season on weather simulations using model resolutions of 10 km and 2 km.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An investigation of methods for injecting emissions from boreal wildfires using WRF-Chem during ARCTAS

et al. 2011

View full text Add to dashboard Cite

One of the most important aspects of simulating wildfire plume transport is the height at which emissions are injected. WRF-Chem contains an integrated one-dimensional plume rise model to determine the appropriate injection layer. The plume rise model accounts for thermal buoyancy associated with fires and local atmospheric stability. This paper describes a case study of a 10 day period during the Spring phase of ARCTAS. It compares results from the plume model against those of two more traditional injection methods: Injecting within the planetary boundary layer, and in a layer 3-5 km above ground level. Fire locations are satellite derived from the GOES Wildfire Automated Biomass Burning Algorithm (WF ABBA) and the MODIS thermal hotspot detection. Two methods for preprocessing these fire data are compared: The prep chem sources method included with WRF-Chem, and the Naval Research Laboratory's Fire Locating and Monitoring of Burning Emissions (FLAMBE). Results from the simulations are compared with satellitederived products from the AIRS, MISR and CALIOP sensors.Correspondence to: H. E. Fuelberg (hfuelberg@fsu.edu) When FLAMBE provides input to the 1-D plume rise model, the resulting injection heights exhibit the best agreement with satellite-observed injection heights. The FLAMBE-derived heights are more realistic than those utilizing prep chem sources. Conversely, when the planetary boundary layer or the 3-5 km a.g.l. layer were filled with emissions, the resulting injection heights exhibit less agreement with observed plume heights. Results indicate that differences in injection heights produce different transport pathways. These differences are especially pronounced in area of strong vertical wind shear and when the integration period is long.

show abstract

Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

An investigation of methods for injecting emissions from boreal wildfires using WRF-Chem during ARCTAS

et al. 2011

View full text Add to dashboard Cite

show abstract

“…RADM2 in combination with the MADE aerosol module has already been widely used in literature (e.g. Grell et al, 2011;Minsenis and Zhang, 2010;Tuccella et al, 2012). Aqueous phase chemistry has been switched on as we expect this to be of relevance particularly when simulating aerosols during the wet season.…”

Section: Model Description and Setupmentioning

confidence: 99%

The anthropogenic contribution to atmospheric black carbon concentrations in southern Africa: a WRF-Chem modeling study

et al. 2015

View full text Add to dashboard Cite

Abstract. South Africa has one of the largest industrialized economies in Africa. Emissions of air pollutants are particularly high in the Johannesburg-Pretoria metropolitan area, the Mpumalanga Highveld and the Vaal Triangle, resulting in local air pollution. This study presents and evaluates a setup for conducting modeling experiments over southern Africa with the Weather Research and Forecasting model including chemistry and aerosols (WRF-Chem), and analyzes the contribution of anthropogenic emissions to the total black carbon (BC) concentrations from September to December 2010.The modeled BC concentrations are compared with measurements obtained at the Welgegund station situated ca. 100 km southwest of Johannesburg. An evaluation of WRF-Chem with observational data from ground-based measurement stations, radiosondes, and satellites shows that the meteorology is modeled mostly reasonably well, but precipitation amounts are widely overestimated and the onset of the wet season is modeled approximately 1 month too early in 2010. Modeled daily mean BC concentrations show a temporal correlation of 0.66 with measurements, but the total BC concentration is underestimated in the model by up to 50 %.Sensitivity studies with anthropogenic emissions of BC and co-emitted species turned off show that anthropogenic sources can contribute up to 100 % to BC concentrations in the industrialized and urban areas, and anthropogenic BC and co-emitted species together can contribute up to 60 % to PM 1 levels. Particularly the co-emitted species contribute significantly to the aerosol optical depth (AOD). Furthermore, in areas of large-scale biomass-burning atmospheric heating rates are increased through absorption by BC up to an altitude of about 600 hPa.

show abstract

“…In case of biomass burning emissions the plumerise mechanism Grell et al, 2011) -already implemented in WRF-Chem was applied to determine the injection height of a biomass burning plume depending on heat fluxes, temperature, and wind speed. The contribution of different emission sources is separately determined using tagged tracers.…”

Section: Wrf-ghg Developmentmentioning

confidence: 99%

WRF-Chem simulations in the Amazon region during wet and dry season transitions: evaluation of methane models and wetland inundation maps

et al. 2013

Self Cite

View full text Add to dashboard Cite

The Amazon region, being a large source of methane (CH₄), contributes significantly to the global annual CH₄ budget. For the first time, a forward and inverse modelling framework on regional scale for the purpose of assessing the CH₄ budget of the Amazon region is implemented. Here, we present forward simulations of CH₄ as part of the forward and inverse modelling framework based on a modified version of the Weather Research and Forecasting model with chemistry that allows for passive tracer transport of CH₄, carbon monoxide, and carbon dioxide (WRF-GHG), in combination with two different process-based bottom-up models of CH₄ emissions from anaerobic microbial production in wetlands and additional datasets prescribing CH₄ emissions from other sources such as biomass burning, termites, or other anthropogenic emissions. We compare WRF-GHG simulations on 10 km horizontal resolution to flask and continuous CH₄ observations obtained during two airborne measurement campaigns within the Balanço Atmosférico Regional de Carbono na Amazônia (BARCA) project in November 2008 and May 2009. In addition, three different wetland inundation maps, prescribing the fraction of inundated area per grid cell, are evaluated. Our results indicate that the wetland inundation maps based on remote-sensing data represent the observations best except for the northern part of the Amazon basin and the Manaus area. WRF-GHG was able to represent the observed CH₄ mixing ratios best at days with less convective activity. After adjusting wetland emissions to match the averaged observed mixing ratios of flights with little convective activity, the monthly CH₄ budget for the Amazon basin obtained from four different simulations ranges from 1.5 to 4.8 Tg for November 2008 and from 1.3 to 5.5 Tg for May 2009. This corresponds to an average CH₄ flux of 9–31 mg m⁻² d⁻¹ for November 2008 and 8–36 mg m⁻² d⁻¹ for May 2009

show abstract

Inclusion of biomass burning in WRF-Chem: impact of wildfires on weather forecasts

Cited by 246 publications

References 45 publications

An investigation of methods for injecting emissions from boreal wildfires using WRF-Chem during ARCTAS

An investigation of methods for injecting emissions from boreal wildfires using WRF-Chem during ARCTAS

The anthropogenic contribution to atmospheric black carbon concentrations in southern Africa: a WRF-Chem modeling study

WRF-Chem simulations in the Amazon region during wet and dry season transitions: evaluation of methane models and wetland inundation maps

Contact Info

Product

Resources

About