Variational assimilation of web camera-derived estimates of visibility for Alaska aviation
The Real Time Mesoscale Analysis (RTMA), a two-dimensional variational analysis algorithm, is used to provide hourly analyses of surface sensible weather elements for situational awareness at spatial resolutions of 3 km over Alaska. In this work we focus on the analysis of horizontal visibility in A...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2021-01-01
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| Series: | Experimental Results |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2516712X20000660/type/journal_article |
| _version_ | 1811156307266240512 |
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| author | Jacob R. Carley Michael Matthews Matthew T. Morris Manuel S. F. V. De Pondeca Jenny Colavito Runhua Yang Takashi Toyofuku |
| author_facet | Jacob R. Carley Michael Matthews Matthew T. Morris Manuel S. F. V. De Pondeca Jenny Colavito Runhua Yang Takashi Toyofuku |
| author_sort | Jacob R. Carley |
| collection | DOAJ |
| description | The Real Time Mesoscale Analysis (RTMA), a two-dimensional variational analysis algorithm, is used to provide hourly analyses of surface sensible weather elements for situational awareness at spatial resolutions of 3 km over Alaska. In this work we focus on the analysis of horizontal visibility in Alaska, which is a region prone to weather related aviation accidents that are in part due to a relatively sparse observation network. In this study we evaluate the impact of assimilating estimates of horizontal visibility derived from a novel network of web cameras in Alaska with the RTMA. Results suggest that the web camera-derived estimates of visibility can capture low visibility conditions and have the potential to improve the RTMA visibility analysis under conditions of low instrument flight rules and instrument flight rules. |
| first_indexed | 2024-04-10T04:48:19Z |
| format | Article |
| id | doaj.art-72cdd7dc16be4f348c4d37dc8b15f57a |
| institution | Directory Open Access Journal |
| issn | 2516-712X |
| language | English |
| last_indexed | 2024-04-10T04:48:19Z |
| publishDate | 2021-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Experimental Results |
| spelling | doaj.art-72cdd7dc16be4f348c4d37dc8b15f57a2023-03-09T12:34:19ZengCambridge University PressExperimental Results2516-712X2021-01-01210.1017/exp.2020.66Variational assimilation of web camera-derived estimates of visibility for Alaska aviationJacob R. Carley0https://orcid.org/0000-0003-4763-6666Michael Matthews1Matthew T. Morris2Manuel S. F. V. De Pondeca3Jenny Colavito4Runhua Yang5Takashi Toyofuku6Environmental Modeling Center, NOAA/NWS/NCEP, College Park, Maryland, USALincoln Laboratory, Massachusetts Institute of Technology, Lexington, Massachusetts, USAEnvironmental Modeling Center, NOAA/NWS/NCEP, College Park, Maryland, USA Systems Research Group, Colorado Springs, Colorado, USAEnvironmental Modeling Center, NOAA/NWS/NCEP, College Park, Maryland, USA IM Systems Group, Rockville, Maryland, USAAviation Weather Research Program, Federal Aviation Administration, Washington, DC, USAEnvironmental Modeling Center, NOAA/NWS/NCEP, College Park, Maryland, USA IM Systems Group, Rockville, Maryland, USAJAMSTEC, ASTER/X-star, Natsushima-cho 2-15, Kanagawa, Yokosuka, Japan, 237-0061 Tokyo University of Marine Science and Technology, Minato-ku, Japan, 108-8477The Real Time Mesoscale Analysis (RTMA), a two-dimensional variational analysis algorithm, is used to provide hourly analyses of surface sensible weather elements for situational awareness at spatial resolutions of 3 km over Alaska. In this work we focus on the analysis of horizontal visibility in Alaska, which is a region prone to weather related aviation accidents that are in part due to a relatively sparse observation network. In this study we evaluate the impact of assimilating estimates of horizontal visibility derived from a novel network of web cameras in Alaska with the RTMA. Results suggest that the web camera-derived estimates of visibility can capture low visibility conditions and have the potential to improve the RTMA visibility analysis under conditions of low instrument flight rules and instrument flight rules.https://www.cambridge.org/core/product/identifier/S2516712X20000660/type/journal_articlemeteorologyaviationdata assimilationanalysisvisibility |
| spellingShingle | Jacob R. Carley Michael Matthews Matthew T. Morris Manuel S. F. V. De Pondeca Jenny Colavito Runhua Yang Takashi Toyofuku Variational assimilation of web camera-derived estimates of visibility for Alaska aviation Experimental Results meteorology aviation data assimilation analysis visibility |
| title | Variational assimilation of web camera-derived estimates of visibility for Alaska aviation |
| title_full | Variational assimilation of web camera-derived estimates of visibility for Alaska aviation |
| title_fullStr | Variational assimilation of web camera-derived estimates of visibility for Alaska aviation |
| title_full_unstemmed | Variational assimilation of web camera-derived estimates of visibility for Alaska aviation |
| title_short | Variational assimilation of web camera-derived estimates of visibility for Alaska aviation |
| title_sort | variational assimilation of web camera derived estimates of visibility for alaska aviation |
| topic | meteorology aviation data assimilation analysis visibility |
| url | https://www.cambridge.org/core/product/identifier/S2516712X20000660/type/journal_article |
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