Eliza Karlowska, Adrian J. Matthews, Benjamin Webber, Tim Graham, Prince Xavier
{"title":"海表温度日变暖对麦登-朱利安涛动传播速度的影响","authors":"Eliza Karlowska, Adrian J. Matthews, Benjamin Webber, Tim Graham, Prince Xavier","doi":"10.1002/qj.4599","DOIUrl":null,"url":null,"abstract":"The diurnal warm layer in the upper ocean develops during low surface winds and high incoming solar radiation conditions, often increasing sea surface temperatures (SSTs) by up to 1 ∘ C. The suppressed phase of the Madden–Julian Oscillation (MJO) favours the formation of such a layer. Here we analyse the coupled ocean–atmosphere and atmosphere‐only Numerical Weather Prediction systems of the UK Met Office to reveal that important differences arise from the representation of the diurnal warm layer in the coupled model. While both models are skilful in predicting the MJO to at least 7‐day lead time, the coupled model predicts approximately10% faster MJO propagation than the atmosphere‐only model due to the ability to resolve diurnal warming in the upper ocean that rectifies onto MJO‐associated SST anomalies. The diurnal warming of SST (dSST) in the coupled model leads to an increase in daily mean SST compared with the atmosphere‐only model persisted foundation SST. The strength of the dSST in the coupled model is modulated by MJO conditions. During suppressed MJO conditions on lead day 1, the dSST is enhanced leading to 0.2 ∘ C warmer daily mean MJO‐associated SST anomalies and increased convection in the coupled model by lead day 7. During active MJO convection, the dSST is suppressed, leading to 0.1 ∘ C colder MJO‐associated SST anomalies in the coupled model and reduced convection by lead day 7. This variability in dSST further amplifies the MJO propagation speed, underlining the importance of the two‐way feedback between the MJO and the diurnal cycle of SST and the need to accurately represent this process in coupled models. This article is protected by copyright. All rights reserved.","PeriodicalId":49646,"journal":{"name":"Quarterly Journal of the Royal Meteorological Society","volume":"32 1","pages":"0"},"PeriodicalIF":3.0000,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The effect of diurnal warming of sea surface temperatures on the propagation speed of the Madden–Julian Oscillation\",\"authors\":\"Eliza Karlowska, Adrian J. Matthews, Benjamin Webber, Tim Graham, Prince Xavier\",\"doi\":\"10.1002/qj.4599\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The diurnal warm layer in the upper ocean develops during low surface winds and high incoming solar radiation conditions, often increasing sea surface temperatures (SSTs) by up to 1 ∘ C. The suppressed phase of the Madden–Julian Oscillation (MJO) favours the formation of such a layer. Here we analyse the coupled ocean–atmosphere and atmosphere‐only Numerical Weather Prediction systems of the UK Met Office to reveal that important differences arise from the representation of the diurnal warm layer in the coupled model. While both models are skilful in predicting the MJO to at least 7‐day lead time, the coupled model predicts approximately10% faster MJO propagation than the atmosphere‐only model due to the ability to resolve diurnal warming in the upper ocean that rectifies onto MJO‐associated SST anomalies. The diurnal warming of SST (dSST) in the coupled model leads to an increase in daily mean SST compared with the atmosphere‐only model persisted foundation SST. The strength of the dSST in the coupled model is modulated by MJO conditions. During suppressed MJO conditions on lead day 1, the dSST is enhanced leading to 0.2 ∘ C warmer daily mean MJO‐associated SST anomalies and increased convection in the coupled model by lead day 7. During active MJO convection, the dSST is suppressed, leading to 0.1 ∘ C colder MJO‐associated SST anomalies in the coupled model and reduced convection by lead day 7. This variability in dSST further amplifies the MJO propagation speed, underlining the importance of the two‐way feedback between the MJO and the diurnal cycle of SST and the need to accurately represent this process in coupled models. This article is protected by copyright. All rights reserved.\",\"PeriodicalId\":49646,\"journal\":{\"name\":\"Quarterly Journal of the Royal Meteorological Society\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2023-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quarterly Journal of the Royal Meteorological Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/qj.4599\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quarterly Journal of the Royal Meteorological Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/qj.4599","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
The effect of diurnal warming of sea surface temperatures on the propagation speed of the Madden–Julian Oscillation
The diurnal warm layer in the upper ocean develops during low surface winds and high incoming solar radiation conditions, often increasing sea surface temperatures (SSTs) by up to 1 ∘ C. The suppressed phase of the Madden–Julian Oscillation (MJO) favours the formation of such a layer. Here we analyse the coupled ocean–atmosphere and atmosphere‐only Numerical Weather Prediction systems of the UK Met Office to reveal that important differences arise from the representation of the diurnal warm layer in the coupled model. While both models are skilful in predicting the MJO to at least 7‐day lead time, the coupled model predicts approximately10% faster MJO propagation than the atmosphere‐only model due to the ability to resolve diurnal warming in the upper ocean that rectifies onto MJO‐associated SST anomalies. The diurnal warming of SST (dSST) in the coupled model leads to an increase in daily mean SST compared with the atmosphere‐only model persisted foundation SST. The strength of the dSST in the coupled model is modulated by MJO conditions. During suppressed MJO conditions on lead day 1, the dSST is enhanced leading to 0.2 ∘ C warmer daily mean MJO‐associated SST anomalies and increased convection in the coupled model by lead day 7. During active MJO convection, the dSST is suppressed, leading to 0.1 ∘ C colder MJO‐associated SST anomalies in the coupled model and reduced convection by lead day 7. This variability in dSST further amplifies the MJO propagation speed, underlining the importance of the two‐way feedback between the MJO and the diurnal cycle of SST and the need to accurately represent this process in coupled models. This article is protected by copyright. All rights reserved.
期刊介绍:
The Quarterly Journal of the Royal Meteorological Society is a journal published by the Royal Meteorological Society. It aims to communicate and document new research in the atmospheric sciences and related fields. The journal is considered one of the leading publications in meteorology worldwide. It accepts articles, comprehensive review articles, and comments on published papers. It is published eight times a year, with additional special issues.
The Quarterly Journal has a wide readership of scientists in the atmospheric and related fields. It is indexed and abstracted in various databases, including Advanced Polymers Abstracts, Agricultural Engineering Abstracts, CAB Abstracts, CABDirect, COMPENDEX, CSA Civil Engineering Abstracts, Earthquake Engineering Abstracts, Engineered Materials Abstracts, Science Citation Index, SCOPUS, Web of Science, and more.