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The effect of atmospheric nudging on the stratospheric residual circulation in chemistry–climate models

Chrysanthou, Andreas; Maycock, Amanda C.; Chipperfield, Martyn P.; Dhomse, Sandip; Garny, Hella; Kinnison, Douglas; Akiyoshi, Hideharu; Deushi, Makoto; Garcia, Rolando R.; Jöckel, Patrick; Kirner, Oliver; Pitari, Giovanni; Plummer, David A.; Revell, Laura; Rozanov, Eugene; Stenke, Andrea; Tanaka, Taichu Y.; Visioni, Daniele; Yamashita, Yousuke

We perform the first multi-model intercomparison of the impact of nudged meteorology on the stratospheric residual circulation using hindcast simulations from the Chemistry–Climate Model Initiative (CCMI). We examine simulations over the period 1980–2009 from seven models in which the meteorological fields are nudged towards a reanalysis dataset and compare these with their equivalent free-running simulations and the reanalyses themselves. We show that for the current implementations, nudging meteorology does not constrain the mean strength of the stratospheric residual circulation and that the inter-model spread is similar, or even larger, than in the free-running simulations. The nudged models generally show slightly stronger upwelling in the tropical lower stratosphere compared to the free-running versions and exhibit marked differences compared to the directly estimated residual circulation from the reanalysis dataset they are nudged towards. Downward control calculations applied to the nudged simulations reveal substantial differences between the climatological lower-stratospheric tropical upward mass flux (TUMF) computed from the modelled wave forcing and that calculated directly from the residual circulation. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000098344
Veröffentlicht am 18.09.2019
DOI: 10.5194/acp-19-11559-2019
Zitationen: 4
Web of Science
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Steinbuch Centre for Computing (SCC)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 1680-7324
KITopen-ID: 1000098344
HGF-Programm 46.11.01 (POF III, LK 01)
Computational Science and Mathematical Methods
Erschienen in Atmospheric chemistry and physics
Band 19
Heft 17
Seiten 11559–11586
Vorab online veröffentlicht am 13.09.2019
Nachgewiesen in Scopus
Web of Science
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