000185556 001__ 185556
000185556 005__ 20190316235619.0
000185556 0247_ $$2doi$$a10.5194/acp-13-147-2013
000185556 022__ $$a1680-7316
000185556 02470 $$2ISI$$a000313513700010
000185556 037__ $$aARTICLE
000185556 245__ $$aOn the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes - Part 1: Statistical models and spatial fingerprints of atmospheric dynamics and chemistry
000185556 260__ $$aGottingen$$bCopernicus Publications$$c2013
000185556 269__ $$a2013
000185556 300__ $$a18
000185556 336__ $$aJournal Articles
000185556 520__ $$aWe use statistical models for mean and extreme values of total column ozone to analyze "fingerprints" of atmospheric dynamics and chemistry on long-term ozone changes at northern and southern mid-latitudes on grid cell basis. At each grid cell, the r-largest order statistics method is used for the analysis of extreme events in low and high total ozone (termed ELOs and EHOs, respectively), and an autoregressive moving average (ARMA) model is used for the corresponding mean value analysis. In order to describe the dynamical and chemical state of the atmosphere, the statistical models include important atmospheric covariates: the solar cycle, the Quasi-Biennial Oscillation (QBO), ozone depleting substances (ODS) in terms of equivalent effective stratospheric chlorine (EESC), the North Atlantic Oscillation (NAO), the Antarctic Oscillation (AAO), the El Nino/Southern Oscillation (ENSO), and aerosol load after the volcanic eruptions of El Chichon and Mt. Pinatubo. The influence of the individual covariates on mean and extreme levels in total column ozone is derived on a grid cell basis. The results show that "fingerprints", i.e., significant influence, of dynamical and chemical features are captured in both the "bulk" and the tails of the statistical distribution of ozone, respectively described by mean values and EHOs/ELOs. While results for the solar cycle, QBO, and EESC are in good agreement with findings of earlier studies, unprecedented spatial fingerprints are retrieved for the dynamical covariates. Column ozone is enhanced over Labrador/Greenland, the North Atlantic sector and over the Norwegian Sea, but is reduced over Europe, Russia and the Eastern United States during the positive NAO phase, and vice-versa during the negative phase. The NAO's southern counterpart, the AAO, strongly influences column ozone at lower southern mid-latitudes, including the southern parts of South America and the Antarctic Peninsula, and the central southern mid-latitudes. Results for both NAO and AAO confirm the importance of atmospheric dynamics for ozone variability and changes from local/regional to global scales.
000185556 700__ $$0244568$$aFrossard, L.$$g170781$$uEPF Lausanne, Math Inst Anal & Applicat, Lausanne, Switzerland
000185556 700__ $$aRieder, H. E.$$uSwiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland
000185556 700__ $$0243109$$aRibatet, M.$$g182332$$uEPF Lausanne, Math Inst Anal & Applicat, Lausanne, Switzerland
000185556 700__ $$aStaehelin, J.$$uSwiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland
000185556 700__ $$aMaeder, J. A.$$uSwiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland
000185556 700__ $$aDi Rocco, S.$$uSwiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland
000185556 700__ $$0240476$$aDavison, A. C.$$g111184$$uEPF Lausanne, Math Inst Anal & Applicat, Lausanne, Switzerland
000185556 700__ $$aPeter, T.$$uSwiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland
000185556 773__ $$j13$$k1$$q147-164$$tAtmospheric Chemistry And Physics
000185556 8564_ $$s4729194$$uhttps://infoscience.epfl.ch/record/185556/files/Atmos.%20Chem.%20%E2%80%A6%202013%20Frossard.pdf$$yPublisher's version$$zPublisher's version
000185556 909C0 $$0252136$$pSTAT$$xU10124
000185556 909CO $$ooai:infoscience.tind.io:185556$$pSB$$particle$$qGLOBAL_SET
000185556 917Z8 $$x111184
000185556 937__ $$aEPFL-ARTICLE-185556
000185556 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000185556 980__ $$aARTICLE