Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018GL080970 |
Promises in Air-Sea Fully Coupled Data Assimilation for Future Hurricane Prediction | |
Zhang, Fuqing1,2; Emanuel, Kerry3 | |
2018-12-16 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
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ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2018 |
卷号 | 45期号:23页码:13173-13177 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | 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. Plain Language Summary The ocean circulations, temperature, and density can be critical to the tropical cyclone development but remain poorly initialized in all operational hurricane forecast models, even those that are fully coupled air-sea systems. The recent article by Li and Toumi (2018, https://doi.org/10.1029/2018GL079677) explored the potential for improving tropical cyclone intensity forecasts by assimilating synthetic coastal surface currents from high-frequency radar 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. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000454296600059 |
WOS关键词 | TROPICAL CYCLONES ; INTENSITY ; IMPACTS ; SENSITIVITY ; CONVECTION ; EXCHANGE |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/27466 |
专题 | 气候变化 |
作者单位 | 1.Penn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16802 USA; 2.Penn State Univ, Ctr Adv Data Assimilat & Predictabil Techn, University Pk, PA 16802 USA; 3.MIT, Program Atmospheres Oceans & Climate, 77 Massachusetts Ave, Cambridge, MA 02139 USA |
推荐引用方式 GB/T 7714 | Zhang, Fuqing,Emanuel, Kerry. Promises in Air-Sea Fully Coupled Data Assimilation for Future Hurricane Prediction[J]. GEOPHYSICAL RESEARCH LETTERS,2018,45(23):13173-13177. |
APA | Zhang, Fuqing,&Emanuel, Kerry.(2018).Promises in Air-Sea Fully Coupled Data Assimilation for Future Hurricane Prediction.GEOPHYSICAL RESEARCH LETTERS,45(23),13173-13177. |
MLA | Zhang, Fuqing,et al."Promises in Air-Sea Fully Coupled Data Assimilation for Future Hurricane Prediction".GEOPHYSICAL RESEARCH LETTERS 45.23(2018):13173-13177. |
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