دورية أكاديمية
Towards objective identification and tracking of convective outflow boundaries in next-generation geostationary satellite imagery
| العنوان: | Towards objective identification and tracking of convective outflow boundaries in next-generation geostationary satellite imagery |
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| المؤلفون: | J. M. Apke, K. A. Hilburn, S. D. Miller, D. A. Peterson |
| المصدر: | Atmospheric Measurement Techniques, Vol 13, Pp 1593-1608 (2020) |
| بيانات النشر: | Copernicus Publications, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Environmental engineering LCC:Earthwork. Foundations |
| مصطلحات موضوعية: | Environmental engineering, TA170-171, Earthwork. Foundations, TA715-787 |
| الوصف: | Sudden wind direction and speed shifts from outflow boundaries (OFBs) associated with deep convection significantly affect weather in the lower troposphere. Specific OFB impacts include rapid variation in wildfire spread rate and direction, the formation of convection, aviation hazards, and degradation of visibility and air quality due to mineral dust aerosol lofting. Despite their recognized importance to operational weather forecasters, OFB characterization (location, timing, intensity, etc.) in numerical models remains challenging. Thus, there remains a need for objective OFB identification algorithms to assist decision support services. With two operational next-generation geostationary satellites now providing coverage over North America, high-temporal- and high-spatial-resolution satellite imagery provides a unique resource for OFB identification. A system is conceptualized here designed around the new capabilities to objectively derive dense mesoscale motion flow fields in the Geostationary Operational Environmental Satellite 16 (GOES-16) imagery via optical flow. OFBs are identified here by isolating linear features in satellite imagery and backtracking them using optical flow to determine if they originated from a deep convection source. This “objective OFB identification” is tested with a case study of an OFB-triggered dust storm over southern Arizona. The results highlight the importance of motion discontinuity preservation, revealing that standard optical flow algorithms used with previous studies underestimate wind speeds when background pixels are included in the computation with cloud targets. The primary source of false alarms is the incorrect identification of line-like features in the initial satellite imagery. Future improvements to this process are described to ultimately provide a fully automated OFB identification algorithm. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1867-1381 1867-8548 |
| Relation: | https://www.atmos-meas-tech.net/13/1593/2020/amt-13-1593-2020.pdf; https://doaj.org/toc/1867-1381; https://doaj.org/toc/1867-8548 |
| DOI: | 10.5194/amt-13-1593-2020 |
| URL الوصول: | https://doaj.org/article/44e3362aacc242e080059b998fcc2b98 |
| رقم الأكسشن: | edsdoj.44e3362aacc242e080059b998fcc2b98 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 18671381 18678548 |
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| DOI: | 10.5194/amt-13-1593-2020 |