Articles | Volume 15, issue 15
https://doi.org/10.5194/acp-15-8831-2015
© Author(s) 2015. 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-15-8831-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
New fire diurnal cycle characterizations to improve fire radiative energy assessments made from MODIS observations
Faculty of Earth and Life Sciences, VU University, Amsterdam, the Netherlands
J. W. Kaiser
Max-Planck-Institut für Chemie, Mainz, Germany
G. R. van der Werf
Faculty of Earth and Life Sciences, VU University, Amsterdam, the Netherlands
M. J. Wooster
Kings College London, Environmental Monitoring and Modelling Research Group, Department of Geography, London WC2R 2LS, UK
NERC National Centre for Earth Observation (NCEO), UK
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43 citations as recorded by crossref.
- Open biomass burning emissions and their contribution to ambient formaldehyde in Guangdong province, China C. Zhang et al. 10.1016/j.scitotenv.2022.155904
- Quantifying burned area of wildfires in the western United States from polar-orbiting and geostationary satellite active-fire detections M. Berman et al. 10.1071/WF22022
- Large wildfire driven increases in nighttime fire activity observed across CONUS from 2003–2020 P. Freeborn et al. 10.1016/j.rse.2021.112777
- 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
- Major advances in geostationary fire radiative power (FRP) retrieval over Asia and Australia stemming from use of Himarawi-8 AHI W. Xu et al. 10.1016/j.rse.2017.02.024
- Estimation of biomass-burning emissions by fusing the fire radiative power retrievals from polar-orbiting and geostationary satellites across the conterminous United States F. Li et al. 10.1016/j.atmosenv.2019.05.017
- A Lightweight Remote Sensing Payload for Wildfire Detection and Fire Radiative Power Measurements T. Thornberry et al. 10.3390/s23073514
- High Temporal Resolution Satellite Observations of Fire Radiative Power Reveal Link Between Fire Behavior and Aerosol and Gas Emissions E. Wiggins et al. 10.1029/2020GL090707
- Mitigating underestimation of fire emissions from the Advanced Himawari Imager: A machine learning and multi-satellite ensemble approach Y. Kang & J. Im 10.1016/j.jag.2024.103784
- The importance of plume rise on the concentrations and atmospheric impacts of biomass burning aerosol C. Walter et al. 10.5194/acp-16-9201-2016
- The Global Fire Atlas of individual fire size, duration, speed and direction N. Andela et al. 10.5194/essd-11-529-2019
- Simulating the Black Saturday 2009 smoke plume with an interactive composition‐climate model: Sensitivity to emissions amount, timing, and injection height R. Field et al. 10.1002/2015JD024343
- Advances in the estimation of high Spatio-temporal resolution pan-African top-down biomass burning emissions made using geostationary fire radiative power (FRP) and MAIAC aerosol optical depth (AOD) data H. Nguyen & M. Wooster 10.1016/j.rse.2020.111971
- A Deep Learning Framework: Predicting Fire Radiative Power From the Combination of Polar-Orbiting and Geostationary Satellite Data During Wildfire Spread Z. Dong et al. 10.1109/JSTARS.2024.3403146
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- Review of approaches and challenges for the validation of satellite-based active fire products in savannah ecosystems S. Ramsey et al. 10.1071/WF23202
- Trends in eastern China agricultural fire emissions derived from a combination of geostationary (Himawari) and polar (VIIRS) orbiter fire radiative power products T. Zhang et al. 10.5194/acp-20-10687-2020
- Spatiotemporal Variations and Uncertainty in Crop Residue Burning Emissions over North China Plain: Implication for Atmospheric CO2 Simulation Y. Fu et al. 10.3390/rs13193880
- Fire Diurnal Cycle Derived from a Combination of the Himawari-8 and VIIRS Satellites to Improve Fire Emission Assessments in Southeast Australia Y. Zheng et al. 10.3390/rs13152852
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- Unveiling the Factors Responsible for Australia’s Black Summer Fires of 2019/2020 N. Levin et al. 10.3390/fire4030058
- Impacts of fire radiative flux on mature Pinus ponderosa growth and vulnerability to secondary mortality agents A. Sparks et al. 10.1071/WF16139
- Striking impacts of biomass burning on PM2.5 concentrations in Northeast China through the emission inventory improvement L. Chen et al. 10.1016/j.envpol.2022.120835
- Fire intensity impacts on post-fire temperate coniferous forest net primary productivity A. Sparks et al. 10.5194/bg-15-1173-2018
- The 2017 Mega-Fires in Central Chile: Impacts on Regional Atmospheric Composition and Meteorology Assessed from Satellite Data and Chemistry-Transport Modeling R. Lapere et al. 10.3390/atmos12030344
- Two global data sets of daily fire emission injection heights since 2003 S. Rémy et al. 10.5194/acp-17-2921-2017
- Investigating the impact of overlying vegetation canopy structures on fire radiative power (FRP) retrieval through simulation and measurement G. Roberts et al. 10.1016/j.rse.2018.08.015
- Tracking and classifying Amazon fire events in near real time N. Andela et al. 10.1126/sciadv.abd2713
- LSA SAF Meteosat FRP products – Part 1: Algorithms, product contents, and analysis M. Wooster et al. 10.5194/acp-15-13217-2015
- Drought triggers and sustains overnight fires in North America K. Luo et al. 10.1038/s41586-024-07028-5
- Pyrogenic HONO seen from space: insights from global IASI observations B. Franco et al. 10.5194/acp-24-4973-2024
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- LSA SAF Meteosat FRP products – Part 2: Evaluation and demonstration for use in the Copernicus Atmosphere Monitoring Service (CAMS) G. Roberts et al. 10.5194/acp-15-13241-2015
2 citations as recorded by crossref.
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Latest update: 13 Dec 2024
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.
The polar orbiting MODIS instruments provide four daily observations of the fire diurnal cycle,...
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