Aerosol climatology – from remote sensing measurements to deep learning (CLARA)

PN-III-P2-2.1-PED-2019-2278 -

Implementation period: 17 August 2020- 16 August 2022

Objective: The goal of the project is to develop an advanced aerosol climatology for Romania, starting from a pilot region centered on Bucharest area, covering the full period (2010 – present) of aerosol remote sensing and in-situ measurements from Romanian Atmospheric Research 3D Observatory (RADO,  https://erris.gov.ro/RADO), Bucharest-Magurele, using an expert analysis complemented with state-of-the-art deep learning (DL) techniques. The RADO measurements for this area will be supplemented by satellite measurements and improved modelling results.

In the proposed project, the PT-PCCA-2013-4-1798 project MOBBE (“Computational Model for Prediction of the Biomass Burning Emissions and their Impact”) concept will be improved, extended to the most common tropospheric aerosols and complemented with a machine learning analysis. The project proposes innovative concepts, including synergistic expert analysis and deep learning techniques, fulfilling also the Romanian Smart Specialization Strategy on Analysis, Management and Security of Big Data. Extending the biomass burning aerosol climatology to all tropospheric aerosols, the project will improve significantly the characterization of aerosols and their impact on climate, air quality and cloud-precipitation processes, moving from experimental level (MOBBE) to a higher technological maturity level (validated technology in the laboratory). The validated results will be made available for use in other studies of the impact of aerosols on climate. The project outcomes will also contribute conceptually to the Copernicus effort to assimilate the ground-based remote-sensing measurements in Atmosphere Monitoring Service (CAMS).

The project is a collaboration of the National Institute of Research and Development for Optoelectronics (INOE), Remote Sensing Department, and the Politehnica University of Bucharest (UPB), SpeeD Research Laboratory.

Estimated results:

    • A web-based database containing 10 years of regional aerosol climatology, compiled from multi-spectral lidar data and supplemented by data from other remote sensing instruments existent at RADO, field observations, CAMS data-aerosols and transport modeling.

    • New methods of aerosol analysis based on an expert analysis and on DL technology.

    • Scientific papers published in peer-reviewed ISI journals (at least two papers) and conferences proceedings (at least four papers, two per year).