{"title":"全球热带气旋年数量玩具模型","authors":"Yufeng Zhou, Yanluan Lin","doi":"10.1029/2024EF004839","DOIUrl":null,"url":null,"abstract":"<p>The annual number of global tropical cyclones (TCs) has remained rather stable at ∼90 in the past decades, yet the underlying physics and mechanisms remain elusive. This study utilizes observational data to assess TC-environment interactions, such as atmospheric drying, stabilization, and oceanic cooling, which occur after TC passage and inhibit subsequent TC formation. Focused on the recovery of TC-induced hostile environment, we construct an idealized toy model incorporating the global main development region (MDR), recovery time and influencing radius. The model well captures the spatial and temporal characteristics of TC activity. Then we propose a new scaling of annual TC number, framed as a spatiotemporal packing problem determined by the total spatiotemporal area available for TC formation and the average area occupied by each TC. The recovery time is included as a new temporal constraint, and this scaling is validated by toy model simulations and offers insights into observations. Specifically, based on TC attributes in the current climate, the scaling yields an estimate of ∼100 TCs per year given a recovery time of 2–3 weeks. It also implies that a warming climate might lead to fewer TCs due to increased TC size and longer recovery times.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"12 11","pages":""},"PeriodicalIF":7.3000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF004839","citationCount":"0","resultStr":"{\"title\":\"A Toy Model for the Global Annual Number of Tropical Cyclones\",\"authors\":\"Yufeng Zhou, Yanluan Lin\",\"doi\":\"10.1029/2024EF004839\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The annual number of global tropical cyclones (TCs) has remained rather stable at ∼90 in the past decades, yet the underlying physics and mechanisms remain elusive. This study utilizes observational data to assess TC-environment interactions, such as atmospheric drying, stabilization, and oceanic cooling, which occur after TC passage and inhibit subsequent TC formation. Focused on the recovery of TC-induced hostile environment, we construct an idealized toy model incorporating the global main development region (MDR), recovery time and influencing radius. The model well captures the spatial and temporal characteristics of TC activity. Then we propose a new scaling of annual TC number, framed as a spatiotemporal packing problem determined by the total spatiotemporal area available for TC formation and the average area occupied by each TC. The recovery time is included as a new temporal constraint, and this scaling is validated by toy model simulations and offers insights into observations. Specifically, based on TC attributes in the current climate, the scaling yields an estimate of ∼100 TCs per year given a recovery time of 2–3 weeks. It also implies that a warming climate might lead to fewer TCs due to increased TC size and longer recovery times.</p>\",\"PeriodicalId\":48748,\"journal\":{\"name\":\"Earths Future\",\"volume\":\"12 11\",\"pages\":\"\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2024-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF004839\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Earths Future\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1029/2024EF004839\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earths Future","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2024EF004839","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
A Toy Model for the Global Annual Number of Tropical Cyclones
The annual number of global tropical cyclones (TCs) has remained rather stable at ∼90 in the past decades, yet the underlying physics and mechanisms remain elusive. This study utilizes observational data to assess TC-environment interactions, such as atmospheric drying, stabilization, and oceanic cooling, which occur after TC passage and inhibit subsequent TC formation. Focused on the recovery of TC-induced hostile environment, we construct an idealized toy model incorporating the global main development region (MDR), recovery time and influencing radius. The model well captures the spatial and temporal characteristics of TC activity. Then we propose a new scaling of annual TC number, framed as a spatiotemporal packing problem determined by the total spatiotemporal area available for TC formation and the average area occupied by each TC. The recovery time is included as a new temporal constraint, and this scaling is validated by toy model simulations and offers insights into observations. Specifically, based on TC attributes in the current climate, the scaling yields an estimate of ∼100 TCs per year given a recovery time of 2–3 weeks. It also implies that a warming climate might lead to fewer TCs due to increased TC size and longer recovery times.
期刊介绍:
Earth’s Future: A transdisciplinary open access journal, Earth’s Future focuses on the state of the Earth and the prediction of the planet’s future. By publishing peer-reviewed articles as well as editorials, essays, reviews, and commentaries, this journal will be the preeminent scholarly resource on the Anthropocene. It will also help assess the risks and opportunities associated with environmental changes and challenges.