Presentation + Paper
21 September 2020 On validation high-detail mapping of tropospheric NO2 using GSA/Resurs-P observations with simulated data
Author Affiliations +
Abstract
Using measurements of the GSA instrument onboard the Resurs-P satellite, the authors performed an experiment for the retrieval of the high-detailed spatial NO2 distribution in the troposphere. The authors developed an algorithm to obtain the tropospheric NO2 2D distribution with the horizontal spatial resolution reaching 2.4 km for the first time at the world level and provided on a grid with a step of 120 m. The high spatial resolution of the NO2 space measurements for the first time allowed the identification of local sources of NO2 pollution and their plumes. Earlier, we compared our large-scale NO2 distribution structures with measurements from another satellite instrument, OMI, and obtained a reasonable agreement between the NO2 fields taken by the two systems on September 29, 2016 for Hebei province, the North China Plain, which is the most NO2 polluted area in the world. For the validation of fine structures detected in the NO2 fields of GSA/Resurs-P, we are developing methods based on comparisons with numerical models. The paper presents preliminary results of comparisons of the GSA/Resurs-P tropospheric NO2 measurements with simulations performed by models describing the transport of impurities in the atmosphere with different accuracy.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oleg V. Postylyakov, Alexander N. Borovski, Karim A. Shukurov, Yulia V. Muhartova, Marina A. Davydova, and Aleksandr A. Makarenkov "On validation high-detail mapping of tropospheric NO2 using GSA/Resurs-P observations with simulated data", Proc. SPIE 11531, Remote Sensing of Clouds and the Atmosphere XXV, 1153109 (21 September 2020); https://doi.org/10.1117/12.2574240
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KEYWORDS
Nitrogen dioxide

Algorithm development

Spatial resolution

Pollution

Reliability

Satellites

Troposphere

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