Abstract

Abstract. The Weather Research and Forecasting Model (WRF) is considered a "next generation" mesoscale meteorology model. The inclusion of a chemistry module (WRF-Chem) allows transport simulations of chemical and aerosol species such as those observed during NASA's Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) in 2008. The ARCTAS summer deployment phase during June and July coincided with large boreal wildfires in Saskatchewan and Eastern Russia. 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 satellite-derived products from the AIRS, MISR and CALIOP sensors. 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.

Highlights

  • Many processes affect the polar regions before the more populated middle and lower latitudes (Arctic Climate Impact Assessment, 2004)

  • The present study evaluates the ability of Weather Research and Forecasting Model (WRF)-Chem’s 1D plume rise model to diagnose the injection heights of fire emissions during NASA’s Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) campaign during 2008 (Jacob et al, 2010)

  • WRF-Chem can simulate dozens of organic and inorganic species, we focused on carbon monoxide (CO) as a gas phase tracer of the biomass burning plumes

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Summary

Introduction

Many processes affect the polar regions before the more populated middle and lower latitudes (Arctic Climate Impact Assessment, 2004). The present study evaluates the ability of WRF-Chem’s 1D plume rise model to diagnose the injection heights of fire emissions during NASA’s Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) campaign during 2008 (Jacob et al, 2010) 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). Model-derived plume characteristics are compared with those remotely observed by satellite sensors

Numerical simulations
Verification methods
Test cases
Injection height evaluation
Long range transport
Meteorological conditions
AIRS – derived observed transport
Simulated Russian transport
Findings
Summary and conclusion
Full Text
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