Measurements of Stratospheric Trace Gases Column Density and J-values Using UV-Visible Photodiode Array Spectroscopy during the MANTRA 2002 Balloon Campaign

2003 ◽  
Author(s):  
Hongjiang Wu ◽  
Caroline Nowlan ◽  
Kimberly Strong ◽  
C. Thomas McElroy ◽  
Clive Midwinter ◽  
...  
2021 ◽  
Vol 13 (12) ◽  
pp. 2244
Author(s):  
Zeeshan Javed ◽  
Aimon Tanvir ◽  
Muhammad Bilal ◽  
Wenjing Su ◽  
Congzi Xia ◽  
...  

Recently, the occurrence of fog and haze over China has increased. The retrieval of trace gases from the multi-axis differential optical absorption spectroscopy (MAX-DOAS) is challenging under these conditions. In this study, various reported retrieval settings for formaldehyde (HCHO) and sulfur dioxide (SO2) are compared to evaluate the performance of these settings under different meteorological conditions (clear day, haze, and fog). The dataset from 1st December 2019 to 31st March 2020 over Nanjing, China, is used in this study. The results indicated that for HCHO, the optimal settings were in the 324.5–359 nm wavelength window with a polynomial order of five. At these settings, the fitting and root mean squared (RMS) errors for column density were considerably improved for haze and fog conditions, and the differential slant column densities (DSCDs) showed more accurate values compared to the DSCDs between 336.5 and 359 nm. For SO2, the optimal settings for retrieval were found to be at 307–328 nm with a polynomial order of five. Here, root mean square (RMS) and fitting errors were significantly lower under all conditions. The observed HCHO and SO2 vertical column densities were significantly lower on fog days compared to clear days, reflecting a decreased chemical production of HCHO and aqueous phase oxidation of SO2 in fog droplets.


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

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

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 ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document