Preprints
https://doi.org/10.5194/gmd-2022-138
https://doi.org/10.5194/gmd-2022-138
Submitted as: methods for assessment of models
20 Jul 2022
Submitted as: methods for assessment of models | 20 Jul 2022
Status: this preprint is currently under review for the journal GMD.

Assessment of tropospheric ozone products from CAMS reanalysis and near-real time analysis using observations over Iran

Najmeh Kaffashzadeh and Abbas Ali Aliakbari Bidokhti Najmeh Kaffashzadeh and Abbas Ali Aliakbari Bidokhti
  • Institute of Geophysics, University of Tehran, Tehran, Iran

Abstract. Tropospheric ozone time series consists of the effects of various scales of motion, from meso to large time scales which is often challenging for global models to capture them. This study uses two global datasets, namely reanalysis and analysis of the Copernicus atmospheric Monitoring Service (CAMS), to assess the capability of these models or systems in presenting ozone’s features in small scales. We employ the tropospheric ozone product of the models and in situ measurements at 18 stations over Iran for the year of 2020. Furthermore, we make use of data of ozone, temperature, nitrogen oxides, wind speed, and wind direction at one more station. We decompose the datasets into three spectral components, i.e., short (S), medium (M), and long (L) term. We only evaluate the S and M terms of modelled against those of observed datasets for all stations. We examine the relationship between ozone and the relevant proxies. Results show a correlation coefficient of larger than 0.5 for S and about 0.25 for M term in both models. It turns out that the reanalysis dataset demonstrates more precision for the S component than that for the M. Both models can show the observed correlation between ozone and temperature, whereas some inconsistencies appear in presenting the anti-correlation between ozone and nitrogen oxides.

Najmeh Kaffashzadeh and Abbas Ali Aliakbari Bidokhti

Status: open (until 14 Sep 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Najmeh Kaffashzadeh and Abbas Ali Aliakbari Bidokhti

Najmeh Kaffashzadeh and Abbas Ali Aliakbari Bidokhti

Viewed

Total article views: 143 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
118 22 3 143 3 3
  • HTML: 118
  • PDF: 22
  • XML: 3
  • Total: 143
  • BibTeX: 3
  • EndNote: 3
Views and downloads (calculated since 20 Jul 2022)
Cumulative views and downloads (calculated since 20 Jul 2022)

Viewed (geographical distribution)

Total article views: 136 (including HTML, PDF, and XML) Thereof 136 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Aug 2022
Download
Short summary
Global climate chemistry models provide our best estimation of future projection of tropospheric composition. Coarse grid boxes of these models often limit their validations to a set of observations. Current generations of the models benefit from many improvements such upgrading to a finer resolution, assimilating with a wide range of observed data, or etc. This paper assesses the capability of two state-of-the-art global models in simulating tropospheric ozone using observations over Iran.