Ozone variations in the Scandinavian sector of the Arctic during the AASE Campaign and 1989

1994 ◽  
Vol 21 (17) ◽  
pp. 1775-1778 ◽  
Author(s):  
K. Henriksen ◽  
S. H. H. Larsen ◽  
O. I. Shumilov ◽  
B. Thorkelsson
Keyword(s):  
The Arctic ◽  
Ozone Variations

Tropospheric ozone variations in the Arctic during January 1990

1992 ◽  
Vol 40 (2-3) ◽  
pp. 203-210 ◽  
Author(s):  
David J. Hofmann ◽  
Eldon E. Ferguson ◽  
Paul V. Johnston ◽  
W.Andrew Matthews
Keyword(s):  
Tropospheric Ozone ◽  
The Arctic ◽  
Ozone Variations

scholarly journals Trends in stratospheric ozone profiles using functional mixed models

2013 ◽  
Vol 13 (22) ◽  
pp. 11473-11501 ◽  
Author(s):  
A. Park ◽  
S. Guillas ◽  
I. Petropavlovskikh
Keyword(s):  
Principal Component ◽  
Penalized Regression ◽  
Basis Functions ◽  
Functional Principal Component Analysis ◽  
The Arctic ◽  
Smooth Functions ◽  
Error Structure ◽  
Empirical Basis ◽  
Component Scores ◽  
Ozone Variations

Abstract. This paper is devoted to the modeling of altitude-dependent patterns of ozone variations over time. Umkehr ozone profiles (quarter of Umkehr layer) from 1978 to 2011 are investigated at two locations: Boulder (USA) and Arosa (Switzerland). The study consists of two statistical stages. First we approximate ozone profiles employing an appropriate basis. To capture primary modes of ozone variations without losing essential information, a functional principal component analysis is performed. It penalizes roughness of the function and smooths excessive variations in the shape of the ozone profiles. As a result, data-driven basis functions (empirical basis functions) are obtained. The coefficients (principal component scores) corresponding to the empirical basis functions represent dominant temporal evolution in the shape of ozone profiles. We use those time series coefficients in the second statistical step to reveal the important sources of the patterns and variations in the profiles. We estimate the effects of covariates – month, year (trend), quasi-biennial oscillation, the solar cycle, the Arctic oscillation, the El Niño/Southern Oscillation cycle and the Eliassen–Palm flux – on the principal component scores of ozone profiles using additive mixed effects models. The effects are represented as smooth functions and the smooth functions are estimated by penalized regression splines. We also impose a heteroscedastic error structure that reflects the observed seasonality in the errors. The more complex error structure enables us to provide more accurate estimates of influences and trends, together with enhanced uncertainty quantification. Also, we are able to capture fine variations in the time evolution of the profiles, such as the semi-annual oscillation. We conclude by showing the trends by altitude over Boulder and Arosa, as well as for total column ozone. There are great variations in the trends across altitudes, which highlights the benefits of modeling ozone profiles.

Comparison of stratospheric ozone variations in the Arctic and Antarctic during solar proton events

1993 ◽  
Author(s):  
Elena E. E. Kasatkina ◽  
Oleg I. Shumilov ◽  
Oleg M. Raspopov ◽  
Kjell Henriksen ◽  
Stanislav Fisher ◽  
...  
Keyword(s):  
Stratospheric Ozone ◽  
Solar Proton ◽  
The Arctic ◽  
Solar Proton Events ◽  
Ozone Variations

scholarly journals Drivers of variations in the vertical profile of ozone over Summit Station, Greenland: An analysis of ozonesonde data

2018 ◽  
Author(s):  
Shima Bahramvash Shams ◽  
Von P. Walden ◽  
Samuel Oltmans ◽  
Irina Petropavlovskikh ◽  
Bryan Johnson ◽  
...  
Keyword(s):  
Greenland Ice Sheet ◽  
The Arctic ◽  
Positive Trend ◽  
Quasi Biennial Oscillation ◽  
Total Column Ozone ◽  
Eddy Heat Flux ◽  
Short Period ◽  
Column Ozone ◽  
Total Column ◽  
Ozone Variations

Abstract. Understanding the drivers of atmospheric ozone variations in the Arctic is difficult because there are few long-term records of vertical ozone profiles in this region. We present 12 years of ozone profiles over Summit Station, Greenland (72.6 N, 38.4 W; 3200 meters) that were measured from 2005 to 2016. These profiles are subjected to data screening and are extended to 60 km using a robust extrapolation method. The total column ozone and the partial column ozone in four atmospheric layers (troposphere to upper stratosphere) are analyzed. The monthly mean total column ozone reaches a maximum of about 400 DU in April, then decreases to minimum values between 275 and 300 DU in the late summer and early fall. The partial column ozone values peak at different times between late winter and early summer. There is a positive trend in the total column that is likely due to increases in springtime ozone, however, these trends are not robust given the short period of record. A stepwise multiple regression analysis is performed to determine the primary drivers of ozone variations over Summit Station. This analysis shows that the variations in total column ozone are due primarily to changes in the tropopause pressure, the quasi-biennial oscillation (QBO), and the volume of polar stratospheric clouds. The eddy heat flux is also important for variations in the partial column ozone in the different altitude regions. The importance of the QBO appears to be a unique characteristic for ozone variations over the Greenland Ice Sheet (when compared to other nearby Arctic Stations) and may be related to the fact that Greenland is particularly sensitive to the phase of the QBO.

The Arctic Climate System

2005 ◽  
Author(s):  
Mark C. Serreze ◽  
Roger G. Barry
Keyword(s):  
Climate System ◽  
Arctic Climate ◽  
The Arctic
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