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Conference Paper

Timely Update of Emission Inventories with the Use of Satellite Data

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Lelieveld,  Jos
Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Citation

Kushta, J., Georgiou, G. K., & Lelieveld, J. (2021). Timely Update of Emission Inventories with the Use of Satellite Data. In Air pollution modeling and its application XXVII (pp. 401-406). doi:10.1007/978-3-662-63760-9_10.


Cite as: https://hdl.handle.net/21.11116/0000-000A-78A2-8
Abstract
Cyprus is located in the eastern Mediterranean, an environmentally
intriguing area that is subject to complex air pollution conditions, and has to be
prepared for many climatic challenges. Air quality assessment and forecasting is an
essential tool in strengthening the country’s adaptation strategy, providing relevant
information to sectors such as agriculture and tourism, helping reduce health related
financial and human life costs, as well as establishing a core national priority axis for
knowledge outreach to neighbouring countries. The use of current and next genera-
tion satellite information can open a new area in operational forecasting and scientific
assessment of air quality and emissions in this complex region with past, current and
projected societal, financial and geo-political influences. In this work we identify and
elaborate on the discrepancies of emission inventories in the region and the use of
satellite data for their timely update. Utilizing the EDGAR-HTAP emission invento-
ries compiled by the Joint Research Center for the year 2010, we use a model-based
methodology to update them based on satellite-derived trends. Initially we produce
a model-based concentration-vertical column density (VCD) relation derived from
sensitivity tests of NOx emission fluxes in the WRF-Chem regional atmospheric
model. Consequently, we translate the monthly trends obtained by satellite obser-
vations for the period 2010–2015 to produce updated emission inventories. Model
simulations with the current and modified emission inventory are used to assess the
discrepancies derived.