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value="desc">Date Descending</option></select></div></div><input type="hidden" name="start" form="facetForm" value="0"/></div><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/93t3q5qh"><div class="c-clientmarkup">The role of monsoon‐like zonally asymmetric heating in interhemispheric transport</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3AChen%2C%20Gang">Chen, Gang</a>; </li><li><a href="/search/?q=author%3AOrbe%2C%20Clara">Orbe, Clara</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3AWaugh%2C%20Darryn">Waugh, Darryn</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/ucla_postprints">UCLA Previously Published Works</a> (2017)</div><div class="c-scholworks__abstract"><div class="c-clientmarkup">While the importance of the seasonal migration of the zonally averaged Hadley circulation on interhemispheric transport of trace gases has been recognized, few studies have examined the role of the zonally asymmetric monsoonal circulation. This study investigates the role of monsoon-like zonally asymmetric heating on interhemispheric transport using a dry atmospheric model that is forced by idealized Newtonian relaxation to a prescribed radiative equilibrium temperature. When only the seasonal cycle of zonally symmetric heating is considered, the mean age of air in the Southern Hemisphere since last contact with the Northern Hemisphere midlatitude boundary layer, is much larger than the observations. The introduction of monsoon-like zonally asymmetric heating not only reduces the mean age of tropospheric air to more realistic values, but also produces an upper-tropospheric cross-equatorial transport pathway in boreal summer that resembles the transport pathway simulated in the NASA Global Modeling Initiative (GMI) Chemistry Transport Model driven with MERRA meteorological fields. These results highlight the monsoon-induced eddy circulation plays an important role in the interhemispheric transport of long-lived chemical constituents.</div></div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div><div class="c-scholworks__ancillary"><a class="c-scholworks__thumbnail" href="/uc/item/93t3q5qh"><img src="/cms-assets/e83d7fa0c282040c7ff4676fbff6d51757eaa33ce0a851bffc29b29c516a821b" alt="Cover page: The role of monsoon‐like zonally asymmetric heating in interhemispheric transport"/></a></div></section><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/50g319w4"><div class="c-clientmarkup">Stratospheric mean residence time and mean age on the tropopause: Connections and implications for observational constraints</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3AHolzer%2C%20Mark">Holzer, Mark</a>; </li><li><a href="/search/?q=author%3AOrbe%2C%20Clara">Orbe, Clara</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3APrimeau%2C%20Francois%20W">Primeau, Francois W</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/uciess_rw">Faculty Publications</a> (2012)</div><div class="c-scholworks__abstract"><div class="c-clientmarkup">Stratospheric mean residence time and mean age on the tropopause Γ<sub>Ω</sub> are shown to measure physically distinct aspects of stratospheric transport. Both Γ<sub>Ω</sub> and are mean transit times through the stratosphere of air that enters through tropopause region Ω<sub> <em>i</em> </sub> and exits through region Ω<sub> <em>f</em> </sub>, but they represent averages over different populations of fluid elements. The averaging for Γ<sub>Ω</sub> is based on the population of fluid elements exiting the stratosphere, while is based on the population of Ω<sub> <em>i</em> </sub> → Ω<sub> <em>f</em> </sub> fluid elements residing in the stratosphere. Thus, Γ<sub>Ω</sub> is the mean age on exit, while is the expected mean residence time in the interior of the stratosphere. The physical basis for defining and robustly computing both timescales is the one-way stratosphere-to-troposphere flux of air labeled with the boundary-propagator Green function, . By re-expressing the boundary-value problem for in terms of first-order loss in a tropopause layer with a timescale<em>τ</em> <sub> <em>c</em> </sub> in the limit <em>τ</em> <sub> <em>c</em> </sub> → 0, we show that both and Γ<sub>Ω</sub> can be obtained as ratios of moments of extrapolated to the tropopause. One obtains = Γ<sub>Ω</sub> + 2Δ<sup>2</sup>/Γ<sub>Ω</sub>, where Δ quantifies the width of the transit-time distribution. Because the moments of can be estimated from the mixing ratio of transient trace gases, it is in principle possible to estimate from measurements of two independent transient tracers. The distinctness of and Γ<sub>Ω</sub> is elucidated using idealized models.</div></div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div><div class="c-scholworks__ancillary"><a class="c-scholworks__thumbnail" href="/uc/item/50g319w4"><img src="/cms-assets/5b96bfd6e18fc803ae32ed50041365318b55a2e75ed09c58955771e3a934ce70" alt="Cover page: Stratospheric mean residence time and mean age on the tropopause: Connections and implications for observational constraints"/></a><a href="https://creativecommons.org/licenses/by/4.0/" class="c-scholworks__license"><img class="c-lazyimage" data-src="/images/cc-by-small.svg" alt="Creative Commons 'BY' version 4.0 license"/></a></div></section><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/42d93310"><div class="c-clientmarkup">Extreme stratospheric wave activity as harbingers of cold events over North America.</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3ADing%2C%20Xiuyuan">Ding, Xiuyuan</a>; </li><li><a href="/search/?q=author%3AChen%2C%20Gang">Chen, Gang</a>; </li><li><a href="/search/?q=author%3AZhang%2C%20Pengfei">Zhang, Pengfei</a>; </li><li><a href="/search/?q=author%3ADomeisen%2C%20Daniela">Domeisen, Daniela</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3AOrbe%2C%20Clara">Orbe, Clara</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/ucla_postprints">UCLA Previously Published Works</a> (2023)</div><div class="c-scholworks__abstract"><div class="c-clientmarkup">Extreme cold events over North America such as the February 2021 cold wave have been suggested to be linked to stratospheric polar vortex stretching. However, it is not resolved how robustly and on which timescales the stratosphere contributes to the surface anomalies. Here we introduce a simple measure of stratospheric wave activity for reanalyses and model outputs. In contrast to the well-known surface influences of sudden stratospheric warmings (SSWs) that increase the intraseasonal persistence of weather regimes, we show that extreme stratospheric wave events are accompanied by intraseasonal fluctuations between warm and cold spells over North America in observations and climate models. Particularly, strong stratospheric wave events are followed by an increased risk of cold extremes over North America 5-25 days later. Idealized simulations in an atmospheric model with a well-resolved stratosphere corroborate that strong stratospheric wave activity precedes North American cold spells through vertical wave coupling. These findings potentially benefit the predictability of high-impact winter cold extremes over North America.</div></div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div><div class="c-scholworks__ancillary"><a class="c-scholworks__thumbnail" href="/uc/item/42d93310"><img src="/cms-assets/d230212f79ba085d2dd9e9a07919b1d9cfe9b466a38331ab862a59008f94c316" alt="Cover page: Extreme stratospheric wave activity as harbingers of cold events over North America."/></a><a href="https://creativecommons.org/licenses/by/4.0/" class="c-scholworks__license"><img class="c-lazyimage" data-src="/images/cc-by-small.svg" alt="Creative Commons 'BY' version 4.0 license"/></a></div></section><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/6mt4q27x"><div class="c-clientmarkup">Multi-model impacts of climate change on pollution transport from global emission source regions</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3ADoherty%2C%20Ruth%20M">Doherty, Ruth M</a>; </li><li><a href="/search/?q=author%3AOrbe%2C%20Clara">Orbe, Clara</a>; </li><li><a href="/search/?q=author%3AZeng%2C%20Guang">Zeng, Guang</a>; </li><li><a href="/search/?q=author%3APlummer%2C%20David%20A">Plummer, David A</a>; </li><li><a href="/search/?q=author%3APrather%2C%20Michael%20J">Prather, Michael J</a>; </li><li><a href="/search/?q=author%3AWild%2C%20Oliver">Wild, Oliver</a>; </li><li><a href="/search/?q=author%3ALin%2C%20Meiyun">Lin, Meiyun</a>; </li><li><a href="/search/?q=author%3AShindell%2C%20Drew%20T">Shindell, Drew T</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3AMackenzie%2C%20Ian%20A">Mackenzie, Ian A</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/uci_postprints">UC Irvine Previously Published Works</a> (2017)</div><div class="c-scholworks__abstract"><div class="c-clientmarkup">The impacts of climate change on tropospheric transport, diagnosed from a carbon monoxide (CO)-like tracer species emitted from global CO sources, are evaluated from an ensemble of four chemistry-climate models (CCMs) contributing to the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP). Model time-slice simulations for present-day and end-of-The-21st-century conditions were performed under the Representative Concentrations Pathway (RCP) climate scenario RCP 8.5. All simulations reveal a strong seasonality in transport, especially over the tropics. The highest CO-Tracer mixing ratios aloft occur during boreal winter when strong vertical transport is co-located with biomass burning emission source regions. A consistent and robust decrease in future CO-Tracer mixing ratios throughout most of the troposphere, especially in the tropics, and an increase around the tropopause is found across the four CCMs in both winter and summer. Decreases in CO-Tracer mixing ratios in the tropical troposphere are associated with reduced convective mass fluxes in this region, which in turn may reflect a weaker Hadley cell circulation in the future climate. Increases in CO-Tracer mixing ratios near the tropopause are largely attributable to a rise in tropopause height enabling lofting to higher altitudes, although a poleward shift in the mid-latitude jets may also play a minor role in the extratropical upper troposphere. An increase in CO-Tracer mixing ratios also occurs near the Equator, centred over equatorial and Central Africa, extending from the surface to the mid-Troposphere. This is most likely related to localised decreases in convection in the vicinity of the Intertropical Convergence Zone (ITCZ), resulting in larger CO-Tracer mixing ratios over biomass burning regions and smaller mixing ratios downwind.</div></div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div><div class="c-scholworks__ancillary"><a class="c-scholworks__thumbnail" href="/uc/item/6mt4q27x"><img src="/cms-assets/14f25033b1606478ca2ce604dbee069115186be140534fa09b01dbcd2b9c9229" alt="Cover page: Multi-model impacts of climate change on pollution transport from global emission source regions"/></a></div></section></section></main></form></div><div><div class="c-toplink"><a href="javascript:window.scrollTo(0, 0)">Top</a></div><footer class="c-footer"><nav class="c-footer__nav"><ul><li><a href="/">Home</a></li><li><a href="/aboutEschol">About eScholarship</a></li><li><a href="/campuses">Campus Sites</a></li><li><a href="/ucoapolicies">UC Open Access Policy</a></li><li><a href="/publishing">eScholarship Publishing</a></li><li><a href="https://www.cdlib.org/about/accessibility.html">Accessibility</a></li><li><a href="/privacypolicy">Privacy Statement</a></li><li><a href="/policies">Site Policies</a></li><li><a href="/terms">Terms of Use</a></li><li><a href="/login"><strong>Admin Login</strong></a></li><li><a href="https://help.escholarship.org"><strong>Help</strong></a></li></ul></nav><div class="c-footer__logo"><a href="/"><img class="c-lazyimage" data-src="/images/logo_footer-eschol.svg" alt="eScholarship, University of California"/></a></div><div class="c-footer__copyright">Powered by the<br/><a href="http://www.cdlib.org">California Digital Library</a><br/>Copyright © 2017<br/>The Regents of the University of California</div></footer></div></div></div></div> <script src="/js/vendors~app-bundle-2aefc956e545366a5d4e.js"></script> <script src="/js/app-bundle-3c8ebc2ec05dcc3202fd.js"></script> </body> </html>