Soil Moisture Observations From Shortwave Infrared Channels Reveal Tornado Tracks: A Case in 10–11 December 2021 Tornado Outbreak

Wang, Jingyu; Lin, Yun; McFarquhar, Greg M.; Park, Edward; Gu, Yu; Su, Qiong; Fu, Rong; Lee, Kee Wei; Zhang, Tianhao

doi:10.1029/2023gl102984

i

Soil Moisture Observations From Shortwave Infrared Channels Reveal Tornado Tracks: A Case in 10–11 December 2021 Tornado Outbreak

Supporting Files

2023
By Wang, Jingyu ; Lin, Yun ; McFarquhar, Greg M. ; ...

File Language:

Details

Journal Title:

Geophysical Research Letters
Personal Author:

Wang, Jingyu ; Lin, Yun ; McFarquhar, Greg M. ; Park, Edward ; Gu, Yu ; Su, Qiong ; Fu, Rong ; Lee, Kee Wei ; Zhang, Tianhao
NOAA Program & Office:

CIWRO (Cooperative Institute for Severe and High-Impact Weather Research and Operations)
Description:

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
Keywords:

General Earth And Planetary Sciences Geophysics General Earth And Planetary Sciences General Earth And Planetary Sciences
Source:

Geophysical Research Letters, 50(6)
DOI:

https://doi.org/10.1029/2023gl102984
ISSN:

0094-8276 ; 1944-8007
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
Funding:

Grant no. NA19OAR4310243
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

urn:sha256:8caa0949a57f517460d098ada53a20576e4f3aa49c25ee530bea1b7571dc1a9f
Download URL:

https://repository.library.noaa.gov/view/noaa/54979/noaa_54979_DS1.pdf
File Type:

[PDF - 6.43 MB ]

Machine readable version (XML)

Download

File Language:

ON THIS PAGE

Details Supporting Files

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.