Total column densities of tropospheric and stratospheric trace gases in the undisturbed Arctic summer atmosphere

1995 ◽  
Vol 20 (3) ◽  
pp. 311-332 ◽  
Author(s):  
J. Notholt ◽  
A. Meier ◽  
S. Peil
2021 ◽  
Vol 13 (2) ◽  
pp. 270
Author(s):  
Adrian Doicu ◽  
Dmitry S. Efremenko ◽  
Thomas Trautmann

An algorithm for the retrieval of total column amount of trace gases in a multi-dimensional atmosphere is designed. The algorithm uses (i) certain differential radiance models with internal and external closures as inversion models, (ii) the iteratively regularized Gauss–Newton method as a regularization tool, and (iii) the spherical harmonics discrete ordinate method (SHDOM) as linearized radiative transfer model. For efficiency reasons, SHDOM is equipped with a spectral acceleration approach that combines the correlated k-distribution method with the principal component analysis. The algorithm is used to retrieve the total column amount of nitrogen for two- and three-dimensional cloudy scenes. Although for three-dimensional geometries, the computational time is high, the main concepts of the algorithm are correct and the retrieval results are accurate.


2002 ◽  
Author(s):  
Andrea Petritoli ◽  
Giorgio Giovanelli ◽  
Fabrizio Ravegnani ◽  
Daniele Bortoli ◽  
Ivan K. Kostadinov ◽  
...  

Sci ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 6
Author(s):  
Jie Cheng

A portable Fourier Transform Spectrometer (B3M-IR) is built and used to measure atmospheric trace gases in the city of Beijing during Olympic Games in 2008. A short description of the instrument is first provided in this paper. A detailed spectral analysis is then presented. The total columns of ozone (O3), carbon monoxide (CO), methane (CH4) and nitrous oxide (N2O) are retrieved from the ground-based solar absorption spectra recorded by the B3M-IR during the Olympic Games. Lacking validation data, only the retrieved total column of O3 is compared with that retrieved by MAX-DOAS, which is deployed at the same station. The mean difference between the two methods of measurement is 6.5%, demonstrating the performance and reliability of B3M-IR.


2008 ◽  
Vol 90 (3-4) ◽  
pp. 581-592 ◽  
Author(s):  
S. Viciani ◽  
F. D’Amato ◽  
P. Mazzinghi ◽  
F. Castagnoli ◽  
G. Toci ◽  
...  

2020 ◽  
Author(s):  
Klaus-Peter Heue ◽  
Diego Loyola ◽  
Fabian Romahn ◽  
Walter Zimmer ◽  
Christophe Lerot ◽  
...  

<p> Sentinel 5 Precursor (S5P) satellite was launched into a polar orbit in October 2017, carrying the TROPOMI instrument. S5P has sun synchronous orbit with an equator crossing time of 13:30 LT; TROPOMI achieves an almost daily coverage, due to the wide swath width of 2600 km. Based on the observed spectra in the UV-Vis range the trace gases ozone, formaldehyde and nitrogen dioxide are retrieved. We developed a research tropospheric ozone product based on the operational total column from S5P and the stratospheric column obtained from Aura MLS assimilated ozone profiles using the BASCOE system. The enhanced tropospheric ozone columns are observed at several places and often collocate with locale enhancements of NO<sub>2</sub> and HCHO. Both these trace gases are known to be involved in the tropospheric ozone formation.</p><p>The tropospheric ozone product will be briefly presented; the focus will be on large scale enhancements of tropospheric ozone and collocated HCHO and NO<sub>2</sub> observations. In addition examples of enhancemnets of HONO or Glyoxal may be stduied. The large fires in the Amazonian forest and Australia cause an enhancement compared to previous years. Over the southern US both HCHO and tropospheric ozone are enhanced in summer time. Some transport of ozone and its’ precursors can be found in East Asia.</p>


2020 ◽  
Author(s):  
Shlomi Ziskin Ziv ◽  
Chaim I. Garfinkel

<p>Understanding the sinks, sources and transport processes of stratospheric trace gases can improve our prediction of mid to long term climate change. In this study we consider the processes that lead to variability in stratospheric water vapor. We perform a Multiple Linear Regression(MLR) on the SWOOSH combined anomaly filled water vapor product with ENSO, QBO, BDC, mid-tropospheric temperature, and CH4 as predictors, in an attempt to find the factors that most succinctly explain observed water vapor variability. We also consider the fraction of entry water vapor variability that can be accounted for by variations of the cold point temperature as an upper bound on how much water vapor variability is predictable from large scale processes. Several periods in which the MLR fails to account for interannual variability are treated as case studies in order to better understand variability in entry water not governed by these large scale processes.</p>


2004 ◽  
Vol 130 (602) ◽  
pp. 2459-2474 ◽  
Author(s):  
J. Ma ◽  
D.W. Waugh ◽  
A.R. Douglass ◽  
S.R. Kawa ◽  
P.A. Newman ◽  
...  

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