Articles | Volume 16, issue 22
https://doi.org/10.5194/acp-16-14657-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-16-14657-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Nov 2016
Research article |
| 24 Nov 2016
Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign
Ben T. Johnson
CORRESPONDING AUTHOR
Met Office, Exeter, UK
James M. Haywood
Met Office, Exeter, UK
CEMPS, University of Exeter, Exeter, UK
Justin M. Langridge
Met Office, Exeter, UK
Eoghan Darbyshire
Centre for Atmospheric Science, University of Manchester, Manchester,
UK
William T. Morgan
Centre for Atmospheric Science, University of Manchester, Manchester,
UK
Kate Szpek
Met Office, Exeter, UK
Jennifer K. Brooke
Met Office, Exeter, UK
Franco Marenco
Met Office, Exeter, UK
Centre for Atmospheric Science, University of Manchester, Manchester,
UK
Paulo Artaxo
Physics Institute, University of São Paulo, São Paulo, Brazil
Karla M. Longo
National Institute for Space Research (INPE), São José dos
Campos, Brazil
now at: NASA Goddard Space Flight Center and USRA/GESTAR, Greenbelt, MD, USA
Jane P. Mulcahy
Met Office, Exeter, UK
Graham W. Mann
National Centre for Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, UK
Mohit Dalvi
Met Office, Exeter, UK
Nicolas Bellouin
Department of Meteorology, University of Reading, Reading, UK
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34 citations as recorded by crossref.
- Hourly biomass burning emissions product from blended geostationary and polar-orbiting satellites for air quality forecasting applications F. Li et al. 10.1016/j.rse.2022.113237
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- Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. 10.5194/acp-22-11009-2022
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- Biomass burning aerosol over the Amazon: analysis of aircraft, surface and satellite observations using a global aerosol model C. Reddington et al. 10.5194/acp-19-9125-2019
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- Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions Q. Zhong et al. 10.1038/s41467-022-33680-4
- The interactive global fire module pyrE (v1.0) K. Mezuman et al. 10.5194/gmd-13-3091-2020
- Aerosol Characterization during the Summer 2017 Huge Fire Event on Mount Vesuvius (Italy) by Remote Sensing and In Situ Observations A. Boselli et al. 10.3390/rs13102001
- South American Aerosol Tracking - LALINET E. Landulfo et al. 10.1051/epjconf/201817609009
- Present‐Day and Historical Aerosol and Ozone Characteristics in CNRM CMIP6 Simulations M. Michou et al. 10.1029/2019MS001816
- Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model J. Teixeira et al. 10.5194/gmd-14-6515-2021
- Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume M. Majdzadeh et al. 10.5194/gmd-15-219-2022
- Refined Use of Satellite Aerosol Optical Depth Snapshots to Constrain Biomass Burning Emissions in the GOCART Model M. Petrenko et al. 10.1002/2017JD026693
- Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm C. Chen et al. 10.5194/acp-18-12551-2018
- Direct and semi-direct radiative forcing of biomass-burning aerosols over the southeast Atlantic (SEA) and its sensitivity to absorbing properties: a regional climate modeling study M. Mallet et al. 10.5194/acp-20-13191-2020
- The effect of South American biomass burning aerosol emissions on the regional climate G. Thornhill et al. 10.5194/acp-18-5321-2018
- Global distribution of aerosol optical depth in 2015 using CALIPSO level 3 data L. Shikwambana & V. Sivakumar 10.1016/j.jastp.2018.04.003
- Large simulated radiative effects of smoke in the south-east Atlantic H. Gordon et al. 10.5194/acp-18-15261-2018
- Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model F. Malavelle et al. 10.5194/acp-19-1301-2019
- Combining POLDER-3 satellite observations and WRF-Chem numerical simulations to derive biomass burning aerosol properties over the southeast Atlantic region A. Siméon et al. 10.5194/acp-21-17775-2021
- Impact of biomass burning aerosols (BBA) on the tropical African climate in an ocean–atmosphere–aerosol coupled climate model M. Mallet et al. 10.5194/acp-24-12509-2024
- Local and remote climate impacts of future African aerosol emissions C. Wells et al. 10.5194/acp-23-3575-2023
- Interannual fires as a source for subarctic summer decadal climate variability mediated by permafrost thawing J. Kim et al. 10.1038/s41612-023-00415-1
- Refractive Index of Engine‐Emitted Black Carbon and the Influence of Organic Coatings on Optical Properties D. Hu et al. 10.1029/2023JD039178
- The vertical distribution of biomass burning pollution over tropical South America from aircraft in situ measurements during SAMBBA E. Darbyshire et al. 10.5194/acp-19-5771-2019
- Description and evaluation of aerosol in UKESM1 and HadGEM3-GC3.1 CMIP6 historical simulations J. Mulcahy et al. 10.5194/gmd-13-6383-2020
- Large air quality and human health impacts due to Amazon forest and vegetation fires E. Butt et al. 10.1088/2515-7620/abb0db
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- Isolating the effect of biomass burning aerosol emissions on 20th century hydroclimate in South America and Southeast Asia S. Magahey & G. Kooperman 10.1088/1748-9326/acf7d4
- Vertical variability of the properties of highly aged biomass burning aerosol transported over the southeast Atlantic during CLARIFY-2017 H. Wu et al. 10.5194/acp-20-12697-2020
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Latest update: 23 Nov 2024
Short summary
Biomass burning is a large source of carbonaceous aerosols, which scatter and absorb solar radiation, and modify cloud properties. We evaluate the simulation of biomass burning aerosol processes and properties in the HadGEM3 climate model using observations, including those from the South American Biomass Burning Analysis. We find that modelled aerosol optical depths are underestimated unless aerosol emissions (Global Fire Emission Database v3) are increased by a factor of 1.6–2.0.
Biomass burning is a large source of carbonaceous aerosols, which scatter and absorb solar...
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