TY - JOUR

T1 - Optimization of Procedure for Determining Chlorine Nitrate in the Atmosphere from Ground-Based Spectroscopic Measurements

AU - Virolainen, Y. A.

AU - Polyakov, A. V.

AU - Kirner, O.

N1 - Virolainen, Y.A., Polyakov, A.V. & Kirner, O. Optimization of Procedure for Determining Chlorine Nitrate in the Atmosphere from Ground-Based Spectroscopic Measurements. J Appl Spectrosc (2020). https://doi.org/10.1007/s10812-020-01002-5

PY - 2020/5

Y1 - 2020/5

N2 - The procedure for determining the total content of chlorine nitrate (ClONO2) from ground-based measurements of the solar radiation spectra on a Bruker 125HR Fourier spectrometer at the St. Petersburg station (59.88oN, 29.82oE, 20 m above sea level) of the international observational network NDACC is examined. The method was applied to spectra measured in the period from 2009 to 2019, and the results were compared with calculations by the EMAC chemistry-climate model. Good qualitative and quantitative agreement was obtained between the experimental data and the results of numerical modeling. For the period 2009–2017 the average mismatch between model and experiment was 3%, the standard deviation was 43%, and the correlation coefficient was 0.79 ± 0.02, which indicates an adequate description of the variability of the total ClONO2 content by the model. Assessment of the linear trend of the total ClONO2 content showed a significant decrease in the total chlorine nitrate content in the atmosphere over St. Petersburg according both to the ground-based measurements (–2.3 ± 1.9% per year) and to the model (–1.2 ± 0.4% per year).

AB - The procedure for determining the total content of chlorine nitrate (ClONO2) from ground-based measurements of the solar radiation spectra on a Bruker 125HR Fourier spectrometer at the St. Petersburg station (59.88oN, 29.82oE, 20 m above sea level) of the international observational network NDACC is examined. The method was applied to spectra measured in the period from 2009 to 2019, and the results were compared with calculations by the EMAC chemistry-climate model. Good qualitative and quantitative agreement was obtained between the experimental data and the results of numerical modeling. For the period 2009–2017 the average mismatch between model and experiment was 3%, the standard deviation was 43%, and the correlation coefficient was 0.79 ± 0.02, which indicates an adequate description of the variability of the total ClONO2 content by the model. Assessment of the linear trend of the total ClONO2 content showed a significant decrease in the total chlorine nitrate content in the atmosphere over St. Petersburg according both to the ground-based measurements (–2.3 ± 1.9% per year) and to the model (–1.2 ± 0.4% per year).

KW - atmospheric chemistry-climate models

KW - atmospheric gas composition

KW - atmospheric IR Fourier spectrometry

KW - chlorine nitrate

KW - EMAC

KW - NDACC

KW - ozone layer

KW - HCL

KW - CLONO2

KW - FTS

KW - OZONE

UR - http://www.scopus.com/inward/record.url?scp=85085344871&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/1e45b654-71bf-37f0-9046-4495c9ac29bc/

U2 - 10.1007/s10812-020-01002-5

DO - 10.1007/s10812-020-01002-5

M3 - Article

AN - SCOPUS:85085344871

VL - 87

SP - 319

EP - 325

JO - Journal of Applied Spectroscopy (English Translation of Zhurnal Prikladnoi Spektroskopii)

JF - Journal of Applied Spectroscopy (English Translation of Zhurnal Prikladnoi Spektroskopii)

SN - 0021-9037

IS - 2

ER -