Journal article
Advancing FRP Retrieval: Bridging Theory and Application
IEEE transactions on geoscience and remote sensing, Vol.62, pp.1-16
2024
DOI: 10.1109/TGRS.2024.3470538
Abstract
This study addresses two key uncertainties in the Fire Radiative Power (FRP) retrieval, essential for global top-down fire emission inventories. First, it proposes a novel FRP retrieval method by incorporating the ~8.6 μm channel alongside ~4 μm using Monte Carlo simulation. This inclusion significantly improves the accuracy of FRP retrieval, especially for highly smoldering fires. Second, atmospheric correction is conducted using the state-of-the-art radiative transfer model (UNL-VRTM). The importance of atmospheric correction is demonstrated through the single-channel (~4 μm) FRP retrievals from the MODIS Active Fire (AF), VIIRS AF, and second-generation Fire Light Detection Algorithm (FILDA-2) products. Post-correction results show effective mitigation of nighttime FRP angular dependency, achieved by considering the enhanced atmospheric attenuation due to longer path length off-nadir. However, a residual daytime FRP angular dependency remains, likely due to biases in the daytime fire detection algorithm. Additionally, an enhanced agreement is observed between the FILDA-2 FRP retrievals from Suomi-NPP and NOAA-20 satellites when correcting for viewing geometry differences. Lastly, a global FRP increase is noted across all three products, with VIIRS AF and FILDA-2 showing more significant increases (65.8% and 62.5%, respectively) than MODIS AF (20.8%). These advancements in FRP retrievals indicate a concurrent enhancement in downstream fire emission products, including reduced angular dependency of fire emissions that will benefit the air pollution modeling community.
Details
- Title: Subtitle
- Advancing FRP Retrieval: Bridging Theory and Application
- Creators
- Weizhi Deng - University of IowaMeng Zhou - Goddard Space Flight CenterJun Wang - University of IowaZhixin Xue - University of IowaZhendong Lu - University of IowaXi Chen - University of Iowa, Iowa Technology InstituteHuanxin ZhangDavid A. Peterson - Naval Research Laboratory Marine Meteorology DivisionEdward J. Hyer - Naval Research Laboratory Marine Meteorology DivisionArlindo M. Da Silva - Goddard Space Flight Center
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on geoscience and remote sensing, Vol.62, pp.1-16
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC; PISCATAWAY
- DOI
- 10.1109/TGRS.2024.3470538
- ISSN
- 0196-2892
- eISSN
- 1558-0644
- Grant note
- NASA's Terra, Aqua, and SNPP Program: 80NNSC21L1976 NASA's Modeling and Analysis Program (MAP): 80NSSC21K1494
This work was supported in part by the NASA's Terra, Aqua, and SNPP Program under Award 80NNSC21L1976; and in part by the NASA's Modeling and Analysis Program (MAP) under Award 80NSSC21K1494.
- Language
- English
- Electronic publication date
- 09/30/2024
- Date published
- 2024
- Academic Unit
- Physics and Astronomy; Electrical and Computer Engineering; Chemical and Biochemical Engineering; Iowa Technology Institute; Civil and Environmental Engineering
- Record Identifier
- 9984721240602771
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