دورية أكاديمية
An Optical Flow Approach to Tracking Ship Track Behavior Using GOES-R Satellite Imagery
| العنوان: | An Optical Flow Approach to Tracking Ship Track Behavior Using GOES-R Satellite Imagery |
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| المؤلفون: | Kelsie M. Larson, Lyndsay Shand, Andrea Staid, Skyler Gray, Erika L. Roesler, Don Lyons |
| المصدر: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6272-6282 (2022) |
| بيانات النشر: | IEEE, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Ocean engineering LCC:Geophysics. Cosmic physics |
| مصطلحات موضوعية: | Cloud-aerosol interactions, GOES-R, hybrid single-particle lagrangian integrated trajectory (HYSPLIT), optical flow, ship tracks, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809 |
| الوصف: | Ship emissions can form linear cloud structures, or ship tracks, when atmospheric water vapor condenses on aerosols in the ship exhaust. These structures are of interest because they are observable and traceable examples of MCB, a mechanism that has been studied as a potential approach for solar climate intervention. Ship tracks can be observed throughout the diurnal cycle via space-borne assets like the advanced baseline imagers on the national oceanic and atmospheric administration geostationary operational environmental satellites, the GOES-R series. Due to complex atmospheric dynamics, it can be difficult to track these aerosol perturbations over space and time to precisely characterize how long a single emission source can significantly contribute to indirect radiative forcing. We propose an optical flow approach to estimate the trajectories of ship-emitted aerosols after they begin mixing with low boundary layer clouds using GOES-17 satellite imagery. Most optical flow estimation methods have only been used to estimate large scale atmospheric motion. We demonstrate the ability of our approach to precisely isolate the movement of ship tracks in low-lying clouds from the movement of large swaths of high clouds that often dominate the scene. This efficient approach shows that ship tracks persist as visible, linear features beyond 9 h and sometimes longer than 24 h. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2151-1535 |
| Relation: | https://ieeexplore.ieee.org/document/9837429/; https://doaj.org/toc/2151-1535 |
| DOI: | 10.1109/JSTARS.2022.3193024 |
| URL الوصول: | https://doaj.org/article/77fecd932edf46bf8d386392db920804 |
| رقم الأكسشن: | edsdoj.77fecd932edf46bf8d386392db920804 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 21511535 |
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| DOI: | 10.1109/JSTARS.2022.3193024 |