Improving Regional Model Skills During Typhoon Events: A Case Study for Super Typhoon Lingling Over the Northwest Pacific Ocean
The ability of forecasting systems to simulate tropical cyclones is still insufficient, and currently, there is an increased interest in improving model performance for intense tropical cyclones. In this study, the impact of reducing surface drag at high wind speeds on modeling wind and wave conditi...
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2021-02-01
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doaj-2d726ccf23b149d58fbbb9d62977b4ff2021-02-12T05:49:13ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452021-02-01810.3389/fmars.2021.613913613913Improving Regional Model Skills During Typhoon Events: A Case Study for Super Typhoon Lingling Over the Northwest Pacific OceanDelei Li0Delei Li1Delei Li2Joanna Staneva3Jean-Raymond Bidlot4Sebastian Grayek5Yuchao Zhu6Yuchao Zhu7Yuchao Zhu8Baoshu Yin9Baoshu Yin10Baoshu Yin11Baoshu Yin12Baoshu Yin13CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, ChinaCenter for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, ChinaPilot National Laboratory for Marine Science and Technology, Qingdao, ChinaInstitute of Coastal Research, Helmholtz Zentrum Geesthacht, Geesthacht, GermanyEuropean Centre for Medium-Range Weather Forecasts (ECMWF), Reading, United KingdomInstitute of Coastal Research, Helmholtz Zentrum Geesthacht, Geesthacht, GermanyCAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, ChinaCenter for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, ChinaPilot National Laboratory for Marine Science and Technology, Qingdao, ChinaCAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, ChinaCenter for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, ChinaPilot National Laboratory for Marine Science and Technology, Qingdao, ChinaCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, ChinaCAS Engineering Laboratory for Marine Ranching, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, ChinaThe ability of forecasting systems to simulate tropical cyclones is still insufficient, and currently, there is an increased interest in improving model performance for intense tropical cyclones. In this study, the impact of reducing surface drag at high wind speeds on modeling wind and wave conditions during the super Typhoon Lingling event over the northwest Pacific Ocean in 2019 is investigated. The model response with respect to the parameterization for momentum exchange at the ocean surface is demonstrated using a fully coupled regional atmosphere model (the Consortium for Small-Scale Modeling-Climate Limited-area Modeling, CCLM) and a wind wave model (WAM). The active two-way coupling between the atmosphere and ocean waves model is enabled through the introduction of sea state-dependent surface drag into the CCLM and updated winds into the WAM. The momentum exchange with the sea surface is modeled via the dependency of the roughness length (Z0) on the surface stress itself and, when applicable, on the wind speed. Several high-resolution runs are performed using one-way or two-way fully coupled regional atmosphere-wave (CCLM-WAM) models. The model simulations are assessed against the best track data as well as against buoy and satellite observations. The results show that the spectral nudging technique can improve the model’s ability to capture the large-scale circulation, track and intensity of Typhoon Lingling at regional scales. Under the precondition of large-scale constraining, the two-way coupling simulation with the proposed new roughness parameterization performs much better than the simulations used in older studies in capturing the maximum wind speed of Typhoon Lingling due to the reduced drag at extreme wind conditions for the new Z0.https://www.frontiersin.org/articles/10.3389/fmars.2021.613913/fullatmosphere–wave coupled modelwindwavetropical cycloneroughness lengthspectral nudging |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Delei Li Delei Li Delei Li Joanna Staneva Jean-Raymond Bidlot Sebastian Grayek Yuchao Zhu Yuchao Zhu Yuchao Zhu Baoshu Yin Baoshu Yin Baoshu Yin Baoshu Yin Baoshu Yin |
spellingShingle |
Delei Li Delei Li Delei Li Joanna Staneva Jean-Raymond Bidlot Sebastian Grayek Yuchao Zhu Yuchao Zhu Yuchao Zhu Baoshu Yin Baoshu Yin Baoshu Yin Baoshu Yin Baoshu Yin Improving Regional Model Skills During Typhoon Events: A Case Study for Super Typhoon Lingling Over the Northwest Pacific Ocean Frontiers in Marine Science atmosphere–wave coupled model wind wave tropical cyclone roughness length spectral nudging |
author_facet |
Delei Li Delei Li Delei Li Joanna Staneva Jean-Raymond Bidlot Sebastian Grayek Yuchao Zhu Yuchao Zhu Yuchao Zhu Baoshu Yin Baoshu Yin Baoshu Yin Baoshu Yin Baoshu Yin |
author_sort |
Delei Li |
title |
Improving Regional Model Skills During Typhoon Events: A Case Study for Super Typhoon Lingling Over the Northwest Pacific Ocean |
title_short |
Improving Regional Model Skills During Typhoon Events: A Case Study for Super Typhoon Lingling Over the Northwest Pacific Ocean |
title_full |
Improving Regional Model Skills During Typhoon Events: A Case Study for Super Typhoon Lingling Over the Northwest Pacific Ocean |
title_fullStr |
Improving Regional Model Skills During Typhoon Events: A Case Study for Super Typhoon Lingling Over the Northwest Pacific Ocean |
title_full_unstemmed |
Improving Regional Model Skills During Typhoon Events: A Case Study for Super Typhoon Lingling Over the Northwest Pacific Ocean |
title_sort |
improving regional model skills during typhoon events: a case study for super typhoon lingling over the northwest pacific ocean |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Marine Science |
issn |
2296-7745 |
publishDate |
2021-02-01 |
description |
The ability of forecasting systems to simulate tropical cyclones is still insufficient, and currently, there is an increased interest in improving model performance for intense tropical cyclones. In this study, the impact of reducing surface drag at high wind speeds on modeling wind and wave conditions during the super Typhoon Lingling event over the northwest Pacific Ocean in 2019 is investigated. The model response with respect to the parameterization for momentum exchange at the ocean surface is demonstrated using a fully coupled regional atmosphere model (the Consortium for Small-Scale Modeling-Climate Limited-area Modeling, CCLM) and a wind wave model (WAM). The active two-way coupling between the atmosphere and ocean waves model is enabled through the introduction of sea state-dependent surface drag into the CCLM and updated winds into the WAM. The momentum exchange with the sea surface is modeled via the dependency of the roughness length (Z0) on the surface stress itself and, when applicable, on the wind speed. Several high-resolution runs are performed using one-way or two-way fully coupled regional atmosphere-wave (CCLM-WAM) models. The model simulations are assessed against the best track data as well as against buoy and satellite observations. The results show that the spectral nudging technique can improve the model’s ability to capture the large-scale circulation, track and intensity of Typhoon Lingling at regional scales. Under the precondition of large-scale constraining, the two-way coupling simulation with the proposed new roughness parameterization performs much better than the simulations used in older studies in capturing the maximum wind speed of Typhoon Lingling due to the reduced drag at extreme wind conditions for the new Z0. |
topic |
atmosphere–wave coupled model wind wave tropical cyclone roughness length spectral nudging |
url |
https://www.frontiersin.org/articles/10.3389/fmars.2021.613913/full |
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