Articles | Volume 15, issue 15
https://doi.org/10.5194/acp-15-8831-2015
https://doi.org/10.5194/acp-15-8831-2015
Research article
 | 
12 Aug 2015
Research article |  | 12 Aug 2015

New fire diurnal cycle characterizations to improve fire radiative energy assessments made from MODIS observations

N. Andela, J. W. Kaiser, G. R. van der Werf, and M. J. Wooster

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Subject: Dynamics | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Cited articles

Archibald, S. and Roy, D. P.: Identifying individual fires from satellite-derived burned area data, IEEE Int. Geosci. Remote Sens. Symp. Proc., 9, 160–163, 2009.
Archibald, S., Lehmann, C. E. R., Gómez-Dans, J. L., and Bradstock, R. A.: Defining pyromes and global syndromes of fire regimes, P. Natl. Acad. Sci. USA, 110, 6442–6447, 2013.
Baldassarre, G., Pozzoli, L., Schmidt, C. C., Unal, A., Kindap, T., Menzel, W. P., Whitburn, S., Coheur, P.-F., Kavgaci, A., and Kaiser, J. W.: Using SEVIRI fire observations to drive smoke plumes in the CMAQ air quality model: a case study over Antalya in 2008, Atmos. Chem. Phys., 15, 8539–8558, https://doi.org/10.5194/acp-15-8539-2015, 2015
Bella, C. M., Jobbagy, E. G., Paruelo, J. M., and Pinnock, S.: Continental fire density patterns in South America, Global Ecol. Biogeogr., 15, 192–199, 2006.
Boschetti, L. and Roy, D. P.: Strategies for the fusion of satellite fire radiative power with burned area data for fire radiative energy derivation, J. Geophys. Res., 114, D20302, https://doi.org/10.1029/2008JD011645, 2009.
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Short summary
The polar orbiting MODIS instruments provide four daily observations of the fire diurnal cycle, resulting in erroneous fire radiative energy (FRE) estimates. Using geostationary SEVIRI data, we explore the fire diurnal cycle and its drivers for Africa to develop a new method to estimate global FRE in near real-time using MODIS. The fire diurnal cycle varied with climate and vegetation type, and including information on the fire diurnal cycle in the model significantly improved the FRE estimates.
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