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http://hdl.handle.net/20.500.11765/13593
Global Atmospheric OCS Trend Analysis From 22 NDACC Stations
| Título : | Global Atmospheric OCS Trend Analysis From 22 NDACC Stations |
| Autor : | Hannigan, James W.; Ortega, Ivan; Shams, Shima Bahramvash; Blumenstock, Thomas; Campbell, John Elliot; Conway, Stephanie; Flood, Victoria; García Rodríguez, Omaira Elena
; Griffith, David W. T.; Grutter, Michel; Hase, Frank; Jeseck, Pascal; Jones, Nicholas; Mahieu, Emmanuel; Makarova, Maria; De Mazière, Martine; Morino, Isamu; Murata, Isao; Nagahama, Tomoo; Nakijima, Hideaki; Notholt, Justus; Palm, Mathias; Poberovskii, Anatoly; Rettinger, Markus; Robinson, John; Röhling, Amelie N.; Schneider, Matthias
; Servais, Christian; Smale, Dan; Stremme, Wolfgang; Strong, Kimberly; Sussmann, Ralf; Te, Yao; Vigouroux, Corinne; Wizenberg, Tyler |
| Palabras clave : | Carbonyl sulfide; Remote sensing; Long term trends; Stratosphere; Troposphere |
| Fecha de publicación : | 2022 |
| Editor: | American Geophysical Union |
| Citación : | Journal of Geophysical Research: Atmospheres. 2022, 127(4), p. 1-28 |
| Versión del editor: | https://doi.org/10.1029/2021JD035764 |
| Resumen : | Carbonyl sulfide (OCS) is a non-hygroscopic trace species in the free troposphere and a large sulfur reservoir maintained by both direct oceanic, geologic, biogenic, and anthropogenic emissions and the oxidation of other sulfur-containing source species. It is the largest source of sulfur transported to the stratosphere during volcanically quiescent periods. Data from 22 ground-based globally dispersed stations are used to derive trends in total and partial column OCS. Middle infrared spectral data are recorded by solar-viewing Fourier transform interferometers that are operated as part of the Network for the Detection of Atmospheric Composition Change between 1986 and 2020. Vertical information in the retrieved profiles provides analysis of discreet altitudinal regions. Trends are found to have well-defined inflection points. |
| Patrocinador: | NASA | Science Mission Directorate (SMD). Grant Numbers: NNX17AE38 G S003, 80NSSC21K0891. Natural Sciences and Engineering Research Council of Canada (NSERC); the Canadian Space Agency (CSA); Environment and Climate Change Canada (ECCC); Sorbonne Université; French Research Center CNRS; French Space Agency CNES. F.R.S.-FNRS. Grant Numbers: J.0147.18, J.0126.21. CONACYT. Grant Number: 290589. PAPIIT. Grant Number: IN111521. NIWA; New Zealand’s Ministry of Business, Innovation and Employment Strategic Science Investment Fund German research foundation. Grant Number: 268020496 German Bundesministerium für Wirtschaft und Energie (BMWi). Grant Numbers: 50EE1711A, 50EE1711D. Helmholtz Society Australian Research Council. Université de La Réunion. Grant Numbers: LACy-UMR8105, UMS3365. |
| URI : | http://hdl.handle.net/20.500.11765/13593 |
| ISSN : | 2169-8996 |
| Colecciones: | Artículos científicos 2019-2022 |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
 | JGRA-2022-Hannigan.pdf | 6,39 MB | Adobe PDF |  Visualizar/Abrir Solicitar copia |
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