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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Main Authors: Delei Li, Joanna Staneva, Jean-Raymond Bidlot, Sebastian Grayek, Yuchao Zhu, Baoshu Yin
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Marine Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2021.613913/full
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spelling 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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