KIT | KIT-Bibliothek | Impressum | Datenschutz

Multi-parameter dynamical diagnostics for upper tropospheric and lower stratospheric studies

Millán, Luis F.; Manney, Gloria L.; Boenisch, Harald 1; Hegglin, Michaela I.; Hoor, Peter; Kunkel, Daniel; Leblanc, Thierry; Petropavlovskikh, Irina; Walker, Kaley; Wargan, Krzysztof; Zahn, Andreas 1
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF), Karlsruher Institut für Technologie (KIT)

Abstract:

Ozone trend estimates have shown large uncertainties in the upper troposphere–lower stratosphere (UTLS) region despite multi-decadal observations available from ground-based, balloon, aircraft, and satellite platforms. These uncertainties arise from large natural variability driven by dynamics (reflected in tropopause and jet variations) as well as the strength in constituent transport and mixing. Additionally, despite all the community efforts there is still a lack of representative high-quality global UTLS measurements to capture this variability.

The Stratosphere-troposphere Processes And their Role in Climate (SPARC) Observed Composition Trends and Variability in the UTLS (OCTAV-UTLS) activity aims to reduce uncertainties in UTLS composition trend estimates by accounting for this dynamically induced variability. In this paper, we describe the production of dynamical diagnostics using meteorological information from reanalysis fields that facilitate mapping observations from several platforms into numerous geophysically based coordinates (including tropopause and upper tropospheric jet relative coordinates). Suitable coordinates should increase the homogeneity of the air masses analyzed together, thus reducing the uncertainty caused by spatiotemporal sampling biases in the quantification of UTLS composition trends. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000160378
Veröffentlicht am 11.07.2023
Originalveröffentlichung
DOI: 10.5194/amt-16-2957-2023
Web of Science
Zitationen: 1
Dimensions
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 1867-8548
KITopen-ID: 1000160378
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Erschienen in Atmospheric Measurement Techniques
Verlag Copernicus Publications
Band 16
Heft 11
Seiten 2957–2988
Vorab online veröffentlicht am 15.06.2023
Nachgewiesen in Dimensions
Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page