GSTDTAP  > 气候变化
DOI10.1029/2018GL080970
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
ISSN0094-8276
EISSN1944-8007
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
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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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