In:
Atmospheric Chemistry and Physics, Copernicus GmbH, Vol. 19, No. 19 ( 2019-10-09), p. 12545-12567
Abstract:
Abstract. Fire emissions are a critical component of carbon and nutrient cycles and
strongly affect climate and air quality. Dynamic global vegetation models
(DGVMs) with interactive fire modeling provide important estimates for
long-term and large-scale changes in fire emissions. Here we present the
first multi-model estimates of global gridded historical fire emissions for
1700–2012, including carbon and 33 species of trace gases and aerosols. The
dataset is based on simulations of nine DGVMs with different
state-of-the-art global fire models that participated in the Fire Modeling
Intercomparison Project (FireMIP), using the same and standardized protocols
and forcing data, and the most up-to-date fire emission factor table based
on field and laboratory studies in various land cover types. We evaluate the
simulations of present-day fire emissions by comparing them with
satellite-based products. The evaluation results show that most DGVMs
simulate present-day global fire emission totals within the range of
satellite-based products. They can capture the high emissions over the
tropical savannas and low emissions over the arid and sparsely vegetated
regions, and the main features of seasonality. However, most models fail to
simulate the interannual variability, partly due to a lack of modeling peat
fires and tropical deforestation fires. Before the 1850s, all models show
only a weak trend in global fire emissions, which is consistent with the
multi-source merged historical reconstructions used as input data for CMIP6.
On the other hand, the trends are quite different among DGVMs for the 20th
century, with some models showing an increase and others a decrease in fire
emissions, mainly as a result of the discrepancy in their simulated
responses to human population density change and land use and land cover
change (LULCC). Our study provides an important dataset for further
development of regional and global multi-source merged historical
reconstructions, analyses of the historical changes in fire emissions and
their uncertainties, and quantification of the role of fire emissions in the
Earth system. It also highlights the importance of accurately modeling the
responses of fire emissions to LULCC and population density change in
reducing uncertainties in historical reconstructions of fire emissions and
providing more reliable future projections.
Type of Medium:
Online Resource
ISSN:
1680-7324
DOI:
10.5194/acp-19-12545-2019
DOI:
10.5194/acp-19-12545-2019-supplement
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2019
detail.hit.zdb_id:
2092549-9
detail.hit.zdb_id:
2069847-1
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