BrainMap

Mrs. Mariana Adam

Dr.

Scientific Researcher - INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD

Researcher | Scientific reviewer

Web of Science ResearcherID: C-5661-2013

Curriculum Vitae (07/02/2024)

Expertise & keywords

Advanced Research on Convective Clouds using Remote Sensing Instruments from New Exploratory Platforms Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2021-1938 2022 - 2024

Role in this project: Key expert

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD

Project partners: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD (RO); Academia Fortelor Aeriene "Henri Coanda" Brasov (RO)

Affiliation:

Project website: http://accuresy.inoe.ro/

Abstract:

The ACCuReSy project (Advanced Research on Convective Clouds using Remote Sensing Instruments from new Exploratory Platforms) aims to perform advanced research of the atmospheric environment before, during and after the convective events in order to investigate the aerosol-cloud interactions with special attention on the factors that contribute to the hail formation. The novelty of this proposal resides in the top-class ground-based infrastructures that will be used to accomplish the goals of the project. Two research team will be involved in this project: Remote Sensing Department of INOE and Aviation Department of “Henri Coanda” Air Force Academy, both relying on state-of-the-art facilities with radar systems operating on various frequencies, meteorological sensors and sondes, and UAVs.

The project will be implemented in two locations, Măgurele and Brașov, chosen by their relevance for the environmental factors that meet the conditions for various type of convective development. Intensive campaigns will be performed during the convective seasons of 2022 and 2023 in order to build a consistent convective database to be analysed later. During the implementation of the project intervention squads will be organized to proceed for a rapid displacement into the areas where the convective development are ongoing for on-site documentation, launching the probes in the unstable environment, and if possible to collect samples (i.e. hail stones). Physico-chemical analyses will be performed on hydrometeor samples investigate the content of suspended particles in the convective environment.

Overall, with this project we aim to produce new insight to the way aerosols affect convective storm and to open ways for implementation these details for a better prediction of convective storms and also to improve the cal/val techniques for the EO satellite missions dedicated to cloud observations.

Aerosol, Clouds and Trace Gases Research Infrastructure Implementation Project Call name: P 3 - SP 3.6 - Premierea participării în Orizont 2020
PN-III-P3-3.6-H2020-2020-0016 2021 - 2023

Role in this project: Key expert

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD

Project partners: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD (RO)

Affiliation:

Project website: http://environment.inoe.ro/article/263/about-actris-imp

Abstract:

ACTRIS IMP (Aerosol, Clouds and Trace Gases Research Infrastructure Implementation Project) is a project funded by the European Commission through the Research Program Horizon 2020 (Grant No. 871115 - ACTRIS IMP - H2020-INFRADEV-2018-2020 / H2020-INFRADEV-2019-2). The duration of the project is four years starting January 1, 2020. ACTRIS IMP project comes as a result of the predecessor ACTRIS PPP which made the transition from a network of project-based research centers to a centralized pan-European research infrastructure, by involving both research organizations and funding bodies and ministries to support ACTRIS infrastructure. Main objective of ACTRIS PPP project is to develop the research infrastructure in terms of organization, operationalization and strategic principles have been defined within ACTRIS PPP, and will be implemented within ACTRIS IMP. This project aims to develop ACTRIS towards a new level of maturity by establishing the necessary coordination structures for coherent implementation actions, which can be implemented both at national and European level.

Assessment of the relationship between Biomass Burning typology and the Aerosol intensive optical properties from LIDAR measurements during smoke transport Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2019-1816 2020 - 2022

Role in this project: Project coordinator

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD

Project partners: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD (RO)

Affiliation: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD (RO)

Project website: http://environment.inoe.ro/article/255/about-abba

Abstract:

Poor air quality is a major societal concern, but development of proper policies is hampered by lack of high-quality data to support decision making. The aim of this project is the development of machine learning tools based on the analysis of remote sensing data. Specifically, the project will improve lidar (light detection and ranging) automatic classification algorithms for aerosol type by allowing the identification of biomass burning (BB) smoke from different vegetation types (different smoke typology). In previous work of the principal investigator, it was shown that smoke from different regions produced different optical properties. This outcome encouraged us to develop a more detailed analysis considering the BB by vegetation type. During the project, the smoke intensive optical properties (IOPs) measured by lidar (e.g. particle depolarization ratio and Ångström exponents) will be correlated to smoke typology allowing the development of better models for aerosol prediction. The analysis will be based on the long timeseries (2008-2018) of lidar measurements at INOE and exiting state-of-the-art algorithms that INOE developed in the framework of the European Infrastructure ACTRIS. The main steps of the methodology are the following:

-Reprocess the lidar data using Single Calculus Chain from EARLINET

-Identify the BB location which contributed to the smoke measurements using HYSPLIT backtrajectory and FIRMS database

-Collect the land cover data from satellites for the regions identified for fires

-Employ the cluster analysis in order to group the fires into homogenized areas from vegetation type point of view; for each cluster, estimate the land cover index

-Assess the quantification between BB typology and IOPs

The project is fully aligned with Romanian Smart Specialization Strategy, bringing INOE’s classification algorithm to a higher TRL, allowing it to be tested by INOE’s industrial partners.

Aerosol climatology - from remote sensing measurements to deep learning Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2019-2278 2020 - 2022

Role in this project: Key expert

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD

Project partners: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD (RO)

Project website: http://environment.inoe.ro/article/254/clara

Abstract:

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), Bucharest-Magurele, using an expert analysis complemented with state-of-the-art deep learning techniques. The RADO measurements for this area will be supplemented by satellite measurements and improved modelling results.

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.

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).

Aerosols, Clouds and Trace gases Preparatory Phase Project Call name: P 3 - SP 3.6 - Premierea participării în Orizont 2020
PN-III-P3-3.6-H2020-2016-0058 2017 - 2019

Role in this project: Key expert

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD

Project partners: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD (RO)

Affiliation: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD (RO)

Project website: http://environment.inoe.ro/category/93/roactris-ppp

Abstract:

The Research Infrastructure (RI) ACTRIS – Aerosols, Clouds and Trace Gases - is the pan-European RI that consolidates activities amongst European partners for observations of aerosols, clouds, and trace gases and for understanding of the related atmospheric processes, to provide RI services to wide user groups. ACTRIS is composed of 8 connected elements: distributed National Facilities (observation platforms and exploratory platforms) both in Europe and globally, and 7 Central Facilities (Head Office, Data Centre and 5 Calibration Centres). ACTRIS provides access to its facilities, open-access data, research support, instrument calibration and development, and training to various user groups. By providing data and access ACTRIS enhances science, but it also generates an disseminates knowledge, boosts technological development, and creates human capital and jobs for the benefit of the

society. ACTRIS will positively impact on e.g. human health, climate resilience, and protection from environmental hazards and reduction of air pollution. ACTRIS has been selected to the ESFRI roadmap in 2016 as mature enough to be implemented within the next ten years. ACTRIS Preparatory Phase Project (PPP) will have a significant role in enabling the transition from a projectbased network of research facilities to a centrally coordinated integrated pan-European RI. ACTRIS PPP brings together a wide community of research performing organizations, research funding organizations and ministries needed to take the decisions and actions to move forward in the implementation of the ACTRIS. The main objectives of ACTRIS PPP are to develop the organizational, operational and strategic frameworks of the RI. The work includes legal, governance, financial, technical, strategic, and administrative aspects carried out in 9 work packages. The main outcomes of PPP are signature-ready documents for establishment of a legal entity with well-defined operations and a sound business plan.

Aerosols, Clouds and Trace gases Preparatory Phase Project Call name:
PN-III-P3-3.6-H2020-2016-0058, 07/2017 2017 - 2019

Role in this project: Key expert

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD

Project partners: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD (RO)

Affiliation: INSTITUTUL NATIONAL DE CERCETARE-DEZVOLTARE PENTRU OPTOELECTRONICA INOE 2000 INCD (RO)

Project website: http://environment.inoe.ro/article/196/about-roactris-ppp

Abstract:

ACTRIS PPP support project is financed by UEFISCDI under "Rewarding participation in Horizon 2020" call for proposals.

This project is awarded as a result of implementing a project funded by the European Commission (EC) - Horizon 2020.

The Research Infrastructure (RI) ACTRIS – Aerosols, Clouds and Trace Gases - is the pan-European RI that consolidates activities amongst European partners for observations of aerosols, clouds, and trace gases and for understanding of the related atmospheric processes, to provide RI services to wide user groups.

ACTRIS is composed of 8 connected elements: distributed National Facilities (observation platforms and exploratory platforms) both in Europe and globally, and 7 Central Facilities (Head Office, Data Centre and 5 Calibration Centres).

ACTRIS provides access to its facilities, open-access data, research support, instrument calibration and development, and training to various user groups.

The main objective of ACTRIS PPP support project is to capitalize the competencies and research potential of INOE (RADO)team by strengthening international collaborations and disseminating the results of ACTRIS PPP project, and not only, during national and international scientific events.

This project activities have the role to increase the number of potential partners in order to participate in future Horizon 2020 projects, but also in other research projects.

EUMETNET Profiling Programme (wind observations from weather radars and dedicated wind profilers and Lidar/Ceilometer observations) Call name:
EUMETNET funding -

Role in this project: Key expert

Coordinating institution: MeteoSwiss Chemin d’Aérologie 1530 Payerne Switzerland

Project partners:

Affiliation:

Project website: http://eumetnet.eu/activities/observations-programme/current-activities/e-profile/

Abstract:

E-PROFILE is part of the EUMETNET Composite Observing System, EUCOS, managing the European networks of radar wind profilers (RWP) and automatic lidars and ceilometers (ALC) for the monitoring of vertical profiles of wind and aerosols including volcanic ash.

E-PROFILE coordinates the measurements of vertical profiles of wind from radar wind profilers (vertically pointing Doppler radars) and weather radars from a network of locations across Europe and provides the data to the end users. The main goal is to improve the overall usability of wind profiler data for operational meteorology and to provide support and expertise to both profiler operators and end users.

Due to technical advances of the last years ceilometers (automatic low cost lidars) provide nowadays not only cloud base height but also information on the vertical distribution of aerosols derived from the backscatter profile. To make available this new observation capacity E-PROFILE is developing a framework to produce and exchange profiles of attenuated backscatter profiles. Automatic lidars and ceilometers of stations across Europe are added to the operational network.

Towards operational ground based profiling with ceilometers, doppler lidars and microwave radiometers for improving weather forecasts Call name:
ESSEM COST Action ES1303 -

Role in this project: Key expert

Coordinating institution: University of Reading Earley Gate RG6 6BB Reading United Kingdom

Project partners:

Affiliation:

Project website: http://www.cost.eu/COST_Actions/essem/ES1303

Abstract:

The new generation of high-resolution (1km) weather forecast models now operational over Europe promises to revolutionise predictions of severe weather and poor air quality. To realise this promise, a dense observing network is required, focusing especially on the lowest few km of the atmosphere, so that forecast models have the most realistic state of the atmosphere for initialisation, continuous assimilation and verification. This Action will focus on developing three instruments available throughout Europe: i) Several hundreds of ceilometers providing backscatter profiles of aerosol and cloud properties with 30m vertical resolution every minute, ii) more than 20 Doppler lidars, a new technology, providing vertical and horizontal winds in the lower atmosphere with a resolution of 30m every 5 minutes, and iii) About 30 microwave profilers giving profiles of temperature and humidity in the lowest few km every 10 minutes. These instruments are relatively inexpensive and have proven suitable for unmanned network operations. Current and recent COST and FP7 projects have considered the profiling ability of advanced lidars and radars, but none has specifically addressed these three instruments. In collaboration with Numerical Weather Prediction centres, the action will lead towards operational networking of these existing but so far under-exploited, instruments.

UK Lidar and Sun-photometer network Call name:
-

Role in this project: Key expert

Coordinating institution: Met Office FitzRoy Road Exeter Devon EX1 3PB United Kingdom

Project partners:

Affiliation:

Project website: https://www.metoffice.gov.uk/news/releases/2015/lidar-volcanic-ash

Abstract:

A network of particle-sensing Light Detection and Ranging Systems (LiDARs) has been installed across the UK to improve detection and aid forecasting of volcanic ash in the event of future eruptions.

The Volcanic Ash Advisories is installing ten (including a mobile version) LiDARs specifically designed to sense atmospheric particles around the country as part of a £3m Department for Transport funded project.

The new network, designed and installed by Raymetrics S. A., provides observations to the UK's London Volcanic Ash Advisory Centre (VAAC) (VAAC), run by the Met Office, to provide more detailed information on the location and characteristics of ash that could impact aircraft flight paths.

This information will support improved forecasts on the dispersion of ash to enable decision-makers in the aviation sector to take action to ensure the safety of travellers and minimise any potential disruption.

European Aerosol Research Lidar Network - Advanced Sustainable Observation System Call name:
FP6: 025991 -

Role in this project: Key expert

Coordinating institution: Consiglio Nazionale delle Ricerche – Istituto di Metodologie per l’Analisi Ambientale (CNR-IMAA) Contrada S. Loja I-85050 Tito Scalo (Potenza) Italy

Project partners:

Affiliation:

Project website: https://www.earlinet.org/index.php?id=145

Abstract:

The present knowledge of the aerosol distribution is far from sufficient to properly estimate the role of aerosols in changes of the global and regional environmental conditions and climate. Improving the observation system for aerosols will contribute to almost all areas of societal benefits listed in the GEOSS Implementation Plan. Since it is in particular the information on the vertical distribution that is lacking, advanced laser remote sensing is the most appropriate tool to close the observational gap.

EARLINET-ASOS, starting on the European Aerosol Research Lidar Network (EARLINET) infrastructure, consisting of 20 lidar stations distributed over Europe, will contribute to the improvement of continuing observations and methodological developments that are urgently needed to provide the multi-year continental scale data set necessary to assess the impact of aerosols on the European and global environment and to support future satellite missions.

The main objective is to improve the EARLINET infrastructure resulting in a better spatial and temporal coverage of the observations, continuous quality control for the complete observation system, and fast availability of standardized data products. This will be reached by strengthening the co-operation among the partners with several networking activities: exchange of expertise with the main goal of defining and disseminating best practice and knowledge; quality assurance program for both algorithms and instruments for assessing and assuring common high quality standards; optimization of instruments for achieving a better temporal coverage and standardization of performance; optimization of data processing with the goal of establishing an automatic processing from raw data to final products; establishing a database provided with an user interface for dissemination of data.

The expected outcome is the most comprehensive data source for the 4-D spatio-temporal distribution of aerosols on a continental scale.

Retrieval of aerosol optical property vertical profiles using a LiDAR Call name:
European Commission JRC project: IES-300805 -

Role in this project: Project coordinator

Coordinating institution: European Commission, Joint Research Centre, Institute for Environment and Sustainability, Via E. Fermi 2749 I-21027, Ispra (VA), Italy

Project partners:

Affiliation:

Project website:

Abstract:

Run a micro-pulse aerosol LiDAR, and process data to retrieve aerosol optical property profiles, using also data from other instruments (e.g. sunphotometer, satellite-borne and instruments).

Link aerosol LiDAR measurements to ground-based measurements of aerosol optical properties.

The successful candidate will also have to study the advantage and drawbacks relative to the use of backscatter LiDAR slant path measurements with respect to Raman aerosol LiDAR measurements.

Water Vapor Validation Experiment Experiment – Satellite/Sondes Call name:
NASA grant NNG06GA59G -

Role in this project: Key expert

Coordinating institution: NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA

Project partners:

Affiliation:

Project website: http://ecotronics.com/lidar-misc/waves.htm

Abstract:

Satellite validation and instrument intercomparison field campaigns centered on the Howard University Research Campus in Beltsville, Maryland with the goals of acquiring a statistically robust set of measurements of atmospheric water vapor, aerosols and trace gases including ozone useful for AURA/Aqua satellite retrieval studies, performing instrument accuracy assessments and using WAVES data for case studies of regional water vapor and aerosol variability.

BALTIMORE SUPERSITE: HIGHLY TIME AND SIZE RESOLVED CONCENTRATIONS OF URBAN PM2.5 AND ITS CONSTITUENTS FOR RESOLUTION OF SOURCES AND IMMUNE RESPONSES Call name:
99-NCERQA-X1 -

Role in this project: Key expert

Coordinating institution: University of Maryland, Department of Chemistry & Biochemistry, Room 0130, College Park, MD, 20742, USA

Project partners:

Affiliation:

Project website: http://www2.chem.umd.edu/supersite/intro.htm

Abstract:

We propose to conduct a Supersite project in Baltimore to provide an extended, highly time, size, and compositionally resolved data set, including an indicator of cardiopulmonary response in support of testing hypotheses relating to source attribution and health effects of PM. Such information is needed to support development of State Implementation Plans and the setting of National Ambient Air Quality Standards. Specific hypotheses involve investigations of the toxicity of aerosol components as affected by age, industrial vs urban character, and seasonal differences in source terms and atmospheric chemistry. The toxicological metrics chosen, i.e., cytokine and reactive oxygen species (ROS) assays, will be used in correlations with PM metrics, in much the same manner as EPA‰s Integrated Air Cancer Program used mutagenicity assays to apportion ambient PM mutagenicity among air pollution sources. The project will encompass hourly resolved cytokine/ROS assays of PM2.5 as a metric of toxic response; along with similarly time-resolved measurements of PM mass, number vs size distribution, light-scattering coefficient; PM sulfate, nitrate, organic carbon, and elemental carbon using commercial continuous and semi-continuous monitors. In addition, three important new instruments will be fielded: UMCP‰s semi-continuous monitor for quantitatively determining aerosol metals and trace elements; UDE‰s third generation single particle mass-spectrometric analysis system (RSMS III) for continuous size and semi-quantitative determination of individual aerosol particle constituents, from 10 nm to 2.5 µm; and JHU‰s advanced 3 wavelength LIDAR for three dimensional mapping of Baltimore‰s wind fields and aerosol concentrations, including plumes from discrete sources. Traditional 24-hr collections for FRM mass and selected aerosol constituents will provide the link with PM network data. Extensive exploratory organic compound analyses will be performed to reveal the presence of potentially useful tracer species for receptor modeling, and identities and concentrations of potentially toxic PM organic constituents, especially, water soluble polar organic compounds which might contribute to cardiopulmonary-related responses. Gram quantities of PM2.5 will be collected weekly and archived for subsequent use by the research community.

The Highly-time (hourly and subhourly) size, and species resolved composition metrics will permit resolution of their contributions by sources, thus, providing the link between the health effects metric and sources. Source allocations will be reinforced by inclusion of the standard meteorological data in the multivariate analyses and 3-dimensional wind field and particle concentration maps. Plume width and, thus, time of influence on a fixed site increases with increasing distance from the source. Thus, with highly time-resolved pollutant metrics local (even individual), more distant, and regional source contributions will likely be readily resolved into different factors by multilinear regression and advanced factor analysis techniques. The 3-D maps will powerfully and visually document the movement of particles from the sources to the receptor, and ultimately improve our understanding of atmospheric stability and seasonal-mesoscale flow patterns in driving aerosol fields over Baltimore city. Note that Baltimore, like most of the large northeastern deepwater port cities, experiences highly complicated local flow patterns which make source-based modeling extremely difficult.

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