Promises in Air‐Sea Fully Coupled Data Assimilation for Future Hurricane Prediction
The recent article by Li and Toumi (2018, https://doi.org/10.1029/2018GL079677) published in Geophysical Research Letters explored the potential for improving tropical cyclone intensity forecasts by assimilating synthetic coastal surface currents from high-frequency radar observations. Although it i...
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Language: | English |
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American Geophysical Union (AGU)
2020
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Online Access: | https://hdl.handle.net/1721.1/128740 |
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author | Zhang, Fuqing Emanuel, Kerry Andrew |
author2 | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences |
author_facet | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Zhang, Fuqing Emanuel, Kerry Andrew |
author_sort | Zhang, Fuqing |
collection | MIT |
description | The recent article by Li and Toumi (2018, https://doi.org/10.1029/2018GL079677) published in Geophysical Research Letters explored the potential for improving tropical cyclone intensity forecasts by assimilating synthetic coastal surface currents from high-frequency radar observations. Although it is an idealized study using simulated observations, this may signal the beginning of a new frontier in future hurricane prediction through ingesting in situ and remotely sensed observations of oceanic currents into fully coupled systems. Assimilation of oceanic observations can improve not only the state estimation of both oceanic and atmospheric variables but it also has the potential to better estimate uncertain model physics' parameters such as the air-sea exchange coefficients. |
first_indexed | 2024-09-23T10:38:17Z |
format | Article |
id | mit-1721.1/128740 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T10:38:17Z |
publishDate | 2020 |
publisher | American Geophysical Union (AGU) |
record_format | dspace |
spelling | mit-1721.1/1287402022-09-27T13:54:50Z Promises in Air‐Sea Fully Coupled Data Assimilation for Future Hurricane Prediction Zhang, Fuqing Emanuel, Kerry Andrew Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences The recent article by Li and Toumi (2018, https://doi.org/10.1029/2018GL079677) published in Geophysical Research Letters explored the potential for improving tropical cyclone intensity forecasts by assimilating synthetic coastal surface currents from high-frequency radar observations. Although it is an idealized study using simulated observations, this may signal the beginning of a new frontier in future hurricane prediction through ingesting in situ and remotely sensed observations of oceanic currents into fully coupled systems. Assimilation of oceanic observations can improve not only the state estimation of both oceanic and atmospheric variables but it also has the potential to better estimate uncertain model physics' parameters such as the air-sea exchange coefficients. Office of Naval Research (Grant N000140910526) 2020-12-07T20:50:14Z 2020-12-07T20:50:14Z 2018-12 2018-11 2020-04-16T18:16:27Z Article http://purl.org/eprint/type/JournalArticle 0094-8276 1944-8007 https://hdl.handle.net/1721.1/128740 Zhang, Fuqing and Kerry Emanuel. "Promises in Air‐Sea Fully Coupled Data Assimilation for Future Hurricane Prediction." Geophysical Research Letters 45, 23 (December 2018): 13,173-13,177 © 2018 American Geophysical Union en http://dx.doi.org/10.1029/2018gl080970 Geophysical Research Letters Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf American Geophysical Union (AGU) Other repository |
spellingShingle | Zhang, Fuqing Emanuel, Kerry Andrew Promises in Air‐Sea Fully Coupled Data Assimilation for Future Hurricane Prediction |
title | Promises in Air‐Sea Fully Coupled Data Assimilation for Future Hurricane Prediction |
title_full | Promises in Air‐Sea Fully Coupled Data Assimilation for Future Hurricane Prediction |
title_fullStr | Promises in Air‐Sea Fully Coupled Data Assimilation for Future Hurricane Prediction |
title_full_unstemmed | Promises in Air‐Sea Fully Coupled Data Assimilation for Future Hurricane Prediction |
title_short | Promises in Air‐Sea Fully Coupled Data Assimilation for Future Hurricane Prediction |
title_sort | promises in air sea fully coupled data assimilation for future hurricane prediction |
url | https://hdl.handle.net/1721.1/128740 |
work_keys_str_mv | AT zhangfuqing promisesinairseafullycoupleddataassimilationforfuturehurricaneprediction AT emanuelkerryandrew promisesinairseafullycoupleddataassimilationforfuturehurricaneprediction |