2015
DOI: 10.5194/acp-15-7155-2015
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Fire emission heights in the climate system – Part 1: Global plume height patterns simulated by ECHAM6-HAM2

Abstract: Abstract. We use the global circulation model ECHAM6 extended by the aerosol module HAM2 to simulate global patterns in wildfire emission heights. Prescribed plume heights in ECHAM6 are replaced by an implementation of a simple, semi-empirical plume height parametrization. In a first step, the global performance of the plume height parametrization is evaluated for plumes reported in the Multiangle Imaging Spectroradiometer (MISR) Plume Height Project (MPHP) data set. Our results show that the parametrization s… Show more

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Cited by 35 publications
(64 citation statements)
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“…Kaiser et al (2012) found that GFAS emissions implemented in the global circulation model ECMWF are only able to reproduce AOT observations in a reasonable way, if global GFAS wildfire emissions are multiplied by a global factor of 3.4. This zero-order approximation also provided reasonable global modeling results in studies by Huijnen et al (2012) andvon Hardenberg et al (2012) well as ECHAM5-HAM1. Basically, the underestimation of AOT in GFAS and other bottom-up inventories could have various reasons including an underestimation of emission fluxes (e.g., due to underestimation of wildfire emission factors or burned area as well as FRP) as well as shortcomings in the representation of aerosol micro-physics in the model (impacting aging and removal rates).…”
Section: Emission Data Setsmentioning
confidence: 78%
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“…Kaiser et al (2012) found that GFAS emissions implemented in the global circulation model ECMWF are only able to reproduce AOT observations in a reasonable way, if global GFAS wildfire emissions are multiplied by a global factor of 3.4. This zero-order approximation also provided reasonable global modeling results in studies by Huijnen et al (2012) andvon Hardenberg et al (2012) well as ECHAM5-HAM1. Basically, the underestimation of AOT in GFAS and other bottom-up inventories could have various reasons including an underestimation of emission fluxes (e.g., due to underestimation of wildfire emission factors or burned area as well as FRP) as well as shortcomings in the representation of aerosol micro-physics in the model (impacting aging and removal rates).…”
Section: Emission Data Setsmentioning
confidence: 78%
“…In the first part of this two-paper series (Veira et al, 2015), we presented globally simulated plume height patterns. Through a comparison of simulated plume heights to observations from the Multiangle Imaging Spectroradiometer (MISR) Plume Height Project (MPHP) data set, we evaluated the performance of different plume height implementations.…”
Section: A Veira Et Al: Impact On Transport Black Carbon Concentramentioning
confidence: 99%
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