![Institutional Repository [SANDBOX]](images/dias.logo.png "Institutional Repository [SANDBOX]"){kind=logo}
Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/EEE06CA5-E0BA-48E0-9388-39AF1A771514 | - |
| Identifier | https://doi.org/10.5194/gmd-14-6515-2021 | - |
| Identifier | https://gmd.copernicus.org/articles/14/6515/2021/ | - |
| Language | en | - |
| Extent | 25 pages | en |
| Title | Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model | en |
| Creator | Teixeira João Carlos | en |
| Creator | Folberth Gerd A. | en |
| Creator | O'Connor Fiona | en |
| Creator | Unger Nadine | en |
| Creator | Voulgarakis Apostolos | en |
| Creator | Βουλγαρακης Αποστολος | el |
| Publisher | Copernicus Publications | en |
| Content Summary | Fire constitutes a key process in the Earth system (ES), being driven by climate as well as affecting the climate by changing atmospheric composition and impacting the terrestrial carbon cycle. However, studies on the effects of fires on atmospheric composition, radiative forcing and climate have been limited to date, as the current generation of ES models (ESMs) does not include fully atmosphere–composition–vegetation coupled fires feedbacks. The aim of this work is to develop and evaluate a fully coupled fire–composition–climate ES model. For this, the INteractive Fires and Emissions algoRithm for Natural envirOnments (INFERNO) fire model is coupled to the atmosphere-only configuration of the UK's Earth System Model (UKESM1). This fire–atmosphere interaction through atmospheric chemistry and aerosols allows for fire emissions to influence radiation, clouds and generally weather, which can consequently influence the meteorological drivers of fire. Additionally, INFERNO is updated based on recent developments in the literature to improve the representation of human and/or economic factors in the anthropogenic ignition and suppression of fire. This work presents an assessment of the effects of interactive fire coupling on atmospheric composition and climate compared to the standard UKESM1 configuration that uses prescribed fire emissions. Results show a similar performance when using the fire–atmosphere coupling (the “online” version of the model) when compared to the offline UKESM1 that uses prescribed fire. The model can reproduce observed present-day global fire emissions of carbon monoxide (CO) and aerosols, despite underestimating the global average burnt area. However, at a regional scale, there is an overestimation of fire emissions over Africa due to the misrepresentation of the underlying vegetation types and an underestimation over equatorial Asia due to a lack of representation of peat fires. Despite this, comparing model results with observations of CO column mixing ratio and aerosol optical depth (AOD) show that the fire–atmosphere coupled configuration has a similar performance when compared to UKESM1. In fact, including the interactive biomass burning emissions improves the interannual CO atmospheric column variability and consequently its seasonality over the main biomass burning regions – Africa and South America. Similarly, for aerosols, the AOD results broadly agree with the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Aerosol Robotic Network (AERONET) observations. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2022-09-27 | - |
| Date of Publication | 2021 | - |
| Subject | UK's Earth System Model (UKESM1) | en |
| Subject | INteractive Fires and Emissions algoRithm for Natural envirOnments (INFERNO) fire model | en |
| Subject | Fire–composition–climate Earth system (ES) model | en |
| Bibliographic Citation | J. C. Teixeira, G. A. Folberth, F. M. O'Connor, N. Unger, and A. Voulgarakis, “Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model,” Geosci. Model Dev., vol. 14, no. 10, pp. 6515–6539, Oct. 2021, doi: 10.5194/gmd-14-6515-2021. | en |
Copyright © DIAS 2013
