Please use this identifier to cite or link to this item:
http://hdl.handle.net/10497/25023
Title: | Authors: | Issue Date: | 2023 |
Citation: | Wang, J., Lin, Y., McFarquhar, G. M., Park, E., Gu, Y., Su, Q., Fu, R., Lee, K. W., & Zhang, T. (2023). Soil moisture observations from shortwave infrared channels reveal tornado tracks: A case in 10-11 December 2021 tornado outbreak. Geophysical Research Letters, 50(6), Article e2023GL102984. https://doi.org/10.1029/2023gl102984 |
Journal: | Geophysical Research Letters |
Abstract: | Satellite-based post-tornado assessments have been widely used for the detection of tornado tracks, which heavily relies on the identification of vegetation changes through observations at visible and near-infrared channels. During the deadly 10–11 December 2021 tornado outbreak, a series of violent tornadoes first touched down over northeastern Arkansas, an area dominated by cropland with rare vegetation coverage in winter. Through the examination of Moderate Resolution Imaging Spectroradiometer multi-spectral observations, this study reveals significant scars on shortwave infrared channels over this region, but none are captured by visible and near-infrared channels. The dominant soil type is aquert (one of vertisols), whose high clay content well preserves the severe changes in soil structure during the tornado passage, when the topmost soil layer was removed and underlying soil with higher moisture content was exposed to the air. This study suggests a quick post-tornado assessment method over less vegetated area by using shortwave infrared channels. |
URI: | ISSN: | 0094-8276 (print) 1944-8007 (online) |
DOI: | Project number: | RP 5/22 WJY |
Grant ID: | NA19OAR4310243 AGS-2103820 |
Funding Agency: | U.S. National Oceanic and Atmospheric Administration National Science Foundation Ministry of Education, Singapore |
File Permission: | Open |
File Availability: | With file |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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GRL-50-6-e2023GL102984.pdf | 6.63 MB | Adobe PDF | View/Open |
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