Articles | Volume 10, issue 23
https://doi.org/10.5194/acp-10-11707-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-10-11707-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Dec 2010
Research article |
| 10 Dec 2010
Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009)
G. R. van der Werf
Faculty of Earth and Life Sciences, VU University, Amsterdam, The Netherlands
J. T. Randerson
Department of Earth System Science, University of California, Irvine, California, USA
L. Giglio
Department of Geography, University of Maryland, College Park, Maryland, USA
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
G. J. Collatz
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
M. Mu
Department of Earth System Science, University of California, Irvine, California, USA
P. S. Kasibhatla
Nicholas School of the Environmental, Duke University, Durham, North Carolina, USA
D. C. Morton
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
R. S. DeFries
Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, New York, USA
Y. Jin
Department of Earth System Science, University of California, Irvine, California, USA
T. T. van Leeuwen
Faculty of Earth and Life Sciences, VU University, Amsterdam, The Netherlands
Related subject area
Subject: Biosphere Interactions | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Estimating global ammonia (NH3) emissions based on IASI observations from 2008 to 2018
The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates
Trends in eastern China agricultural fire emissions derived from a combination of geostationary (Himawari) and polar (VIIRS) orbiter fire radiative power products
Satellite evidence of substantial rain-induced soil emissions of ammonia across the Sahel
LSA SAF Meteosat FRP products – Part 1: Algorithms, product contents, and analysis
LSA SAF Meteosat FRP products – Part 2: Evaluation and demonstration for use in the Copernicus Atmosphere Monitoring Service (CAMS)
Interannual variability in soil nitric oxide emissions over the United States as viewed from space
Estimates of biomass burning emissions in tropical Asia based on satellite-derived data
Zhenqi Luo, Yuzhong Zhang, Wei Chen, Martin Van Damme, Pierre-François Coheur, and Lieven Clarisse
Atmos. Chem. Phys., 22, 10375–10388, https://doi.org/10.5194/acp-22-10375-2022, https://doi.org/10.5194/acp-22-10375-2022, 2022
Short summary
Short summary
We quantify global ammonia (NH3) emissions over the period from 2008 to 2018 using an improved fast top-down method that incorporates Infrared Atmospheric
Sounding Interferometer (IASI) satellite observations and GEOS-Chem atmospheric chemical simulations. The top-down analysis finds a global total NH3 emission that is 30 % higher than the bottom-up estimate, largely reconciling a large discrepancy of more than a factor of 2 found in previous top-down studies using the same satellite data.
John R. Worden, Daniel H. Cusworth, Zhen Qu, Yi Yin, Yuzhong Zhang, A. Anthony Bloom, Shuang Ma, Brendan K. Byrne, Tia Scarpelli, Joannes D. Maasakkers, David Crisp, Riley Duren, and Daniel J. Jacob
Atmos. Chem. Phys., 22, 6811–6841, https://doi.org/10.5194/acp-22-6811-2022, https://doi.org/10.5194/acp-22-6811-2022, 2022
Short summary
Short summary
This paper is intended to accomplish two goals: 1) describe a new algorithm by which remotely sensed measurements of methane or other tracers can be used to not just quantify methane fluxes, but also attribute these fluxes to specific sources and regions and characterize their uncertainties, and 2) use this new algorithm to provide methane emissions by sector and country in support of the global stock take.
Tianran Zhang, Mark C. de Jong, Martin J. Wooster, Weidong Xu, and Lili Wang
Atmos. Chem. Phys., 20, 10687–10705, https://doi.org/10.5194/acp-20-10687-2020, https://doi.org/10.5194/acp-20-10687-2020, 2020
Short summary
Short summary
With strong public concern regarding air pollution problems in eastern China, where megacities like Beijing and Shanghai are located, smoke from agricultural fires burning during the post-harvest season has been blamed as one of the major causes. This research uses advanced satellite remote sensing data and methods to estimate the smoke emissions from agricultural fires in eastern China. Up to a 22 % contribution to PM2.5 was found during extreme cases.
Jonathan E. Hickman, Enrico Dammers, Corinne Galy-Lacaux, and Guido R. van der Werf
Atmos. Chem. Phys., 18, 16713–16727, https://doi.org/10.5194/acp-18-16713-2018, https://doi.org/10.5194/acp-18-16713-2018, 2018
Short summary
Short summary
Ammonia gas, which contributes to air pollution, is emitted from soils and combustion. In regions with distinct dry and rainy seasons, the first rainfall events each year trigger biogeochemical activity in soils. We used satellite observations of the atmosphere over the African Sahel savanna ecosystem to show that increases in soil moisture at the onset of the rainy season are responsible for large pulsed emissions of ammonia equal to roughly a fifth of annual ammonia emissions from the region
M. J. Wooster, G. Roberts, P. H. Freeborn, W. Xu, Y. Govaerts, R. Beeby, J. He, A. Lattanzio, D. Fisher, and R. Mullen
Atmos. Chem. Phys., 15, 13217–13239, https://doi.org/10.5194/acp-15-13217-2015, https://doi.org/10.5194/acp-15-13217-2015, 2015
Short summary
Short summary
Landscape fires strongly influence atmospheric chemistry, composition, and climate. Characterizing such fires at very high temporal resolution is best achieved using thermal observations of actively burning fires made from geostationary Earth Observation satellites. Here we detail the Fire Radiative Power (FRP) products generated by the Land Surface Analysis Satellite Applications Facility (LSA SAF) from data collected by the Meteosat geostationary satellites.
G. Roberts, M. J. Wooster, W. Xu, P. H. Freeborn, J.-J. Morcrette, L. Jones, A. Benedetti, H. Jiangping, D. Fisher, and J. W. Kaiser
Atmos. Chem. Phys., 15, 13241–13267, https://doi.org/10.5194/acp-15-13241-2015, https://doi.org/10.5194/acp-15-13241-2015, 2015
Short summary
Short summary
Characterising the dynamics of wildfires at high temporal resolution is best achieved using observations from geostationary satellite sensors. The SEVIRI Fire Radiative Power (FRP) products have been developed using such imagery at up to 15-minute temporal frequency. These data are used to estimate wildfire fuel consumption and to the characterise smoke emissions from the 2007 Peloponnese "mega fires" within an atmospheric transport model.
R. C. Hudman, A. R. Russell, L. C. Valin, and R. C. Cohen
Atmos. Chem. Phys., 10, 9943–9952, https://doi.org/10.5194/acp-10-9943-2010, https://doi.org/10.5194/acp-10-9943-2010, 2010
D. Chang and Y. Song
Atmos. Chem. Phys., 10, 2335–2351, https://doi.org/10.5194/acp-10-2335-2010, https://doi.org/10.5194/acp-10-2335-2010, 2010
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