{"title":"卫星水汽测量得出的平流层过境时间分布","authors":"William J. Randel, Aurelien Podglajen, Fei Wu","doi":"10.1029/2024JD041595","DOIUrl":null,"url":null,"abstract":"<p>Stratospheric transit time distributions (age-of-air spectra) are estimated using time series of satellite water vapor (H<sub>2</sub>O) measurements from the Microwave Limb Sounder over 2004 to 2021 assuming stationary transport. Latitude-altitude dependent spectra are derived from correlations of interannual H<sub>2</sub>O anomalies with respect to the tropical tropopause source region, fitted with an inverse Gaussian distribution function. The reconstructions accurately capture interannual H<sub>2</sub>O variability in the “tropical pipe” and near-global lower stratosphere, regions of relatively fast transport (∼1–2 years) in the Brewer-Dobson circulation. The calculations provide novel observational estimates of the corresponding “short transit-time” part of the age spectrum in these regions, including the mode. However, the H<sub>2</sub>O results do not constrain the longer transit-time “tail” of the age spectra, and the mean age of air and spectral widths are systematically underestimated compared to other data. We compare observational results with parallel calculations applied to the WACCM chemistry-climate model and the CLaMS chemistry-transport model, and additionally evaluate the method in CLaMS by comparing with spectra from idealized pulse tracers. Because the age spectra accurately capture H<sub>2</sub>O interannual variations originating from the tropical tropopause, they can be used to identify “other” sources of variability in the lower stratosphere, and we use these calculations to quantify H<sub>2</sub>O anomalies in the Southern Hemisphere linked to the Australian New Years fires in early 2020 and the Hunga volcanic eruption in 2022.</p>","PeriodicalId":15986,"journal":{"name":"Journal of Geophysical Research: Atmospheres","volume":"129 21","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stratospheric Transit Time Distributions Derived From Satellite Water Vapor Measurements\",\"authors\":\"William J. Randel, Aurelien Podglajen, Fei Wu\",\"doi\":\"10.1029/2024JD041595\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Stratospheric transit time distributions (age-of-air spectra) are estimated using time series of satellite water vapor (H<sub>2</sub>O) measurements from the Microwave Limb Sounder over 2004 to 2021 assuming stationary transport. Latitude-altitude dependent spectra are derived from correlations of interannual H<sub>2</sub>O anomalies with respect to the tropical tropopause source region, fitted with an inverse Gaussian distribution function. The reconstructions accurately capture interannual H<sub>2</sub>O variability in the “tropical pipe” and near-global lower stratosphere, regions of relatively fast transport (∼1–2 years) in the Brewer-Dobson circulation. The calculations provide novel observational estimates of the corresponding “short transit-time” part of the age spectrum in these regions, including the mode. However, the H<sub>2</sub>O results do not constrain the longer transit-time “tail” of the age spectra, and the mean age of air and spectral widths are systematically underestimated compared to other data. We compare observational results with parallel calculations applied to the WACCM chemistry-climate model and the CLaMS chemistry-transport model, and additionally evaluate the method in CLaMS by comparing with spectra from idealized pulse tracers. Because the age spectra accurately capture H<sub>2</sub>O interannual variations originating from the tropical tropopause, they can be used to identify “other” sources of variability in the lower stratosphere, and we use these calculations to quantify H<sub>2</sub>O anomalies in the Southern Hemisphere linked to the Australian New Years fires in early 2020 and the Hunga volcanic eruption in 2022.</p>\",\"PeriodicalId\":15986,\"journal\":{\"name\":\"Journal of Geophysical Research: Atmospheres\",\"volume\":\"129 21\",\"pages\":\"\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Geophysical Research: Atmospheres\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1029/2024JD041595\",\"RegionNum\":2,\"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":"Journal of Geophysical Research: Atmospheres","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2024JD041595","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
Stratospheric Transit Time Distributions Derived From Satellite Water Vapor Measurements
Stratospheric transit time distributions (age-of-air spectra) are estimated using time series of satellite water vapor (H2O) measurements from the Microwave Limb Sounder over 2004 to 2021 assuming stationary transport. Latitude-altitude dependent spectra are derived from correlations of interannual H2O anomalies with respect to the tropical tropopause source region, fitted with an inverse Gaussian distribution function. The reconstructions accurately capture interannual H2O variability in the “tropical pipe” and near-global lower stratosphere, regions of relatively fast transport (∼1–2 years) in the Brewer-Dobson circulation. The calculations provide novel observational estimates of the corresponding “short transit-time” part of the age spectrum in these regions, including the mode. However, the H2O results do not constrain the longer transit-time “tail” of the age spectra, and the mean age of air and spectral widths are systematically underestimated compared to other data. We compare observational results with parallel calculations applied to the WACCM chemistry-climate model and the CLaMS chemistry-transport model, and additionally evaluate the method in CLaMS by comparing with spectra from idealized pulse tracers. Because the age spectra accurately capture H2O interannual variations originating from the tropical tropopause, they can be used to identify “other” sources of variability in the lower stratosphere, and we use these calculations to quantify H2O anomalies in the Southern Hemisphere linked to the Australian New Years fires in early 2020 and the Hunga volcanic eruption in 2022.
期刊介绍:
JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.