A5080936807- Atmospheric and Environmental Gas Dynamics
- Meteorological Phenomena and Simulations
- Atmospheric chemistry and aerosols
- Atmospheric aerosols and clouds
- Atmospheric Ozone and Climate
- Wind and Air Flow Studies
- Air Quality Monitoring and Forecasting
- Climate variability and models
- Social Acceptance of Renewable Energy
- Tropical and Extratropical Cyclones Research
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Arctic and Antarctic ice dynamics
- Integrated Energy Systems Optimization
- Coastal and Marine Management
- Aeolian processes and effects
- Vehicle emissions and performance
- Plant Water Relations and Carbon Dynamics
- Conflict Management and Negotiation
- Wave and Wind Energy Systems
- Ocean Waves and Remote Sensing
- Maritime Transport Emissions and Efficiency
- Hydrological Forecasting Using AI
- Water-Energy-Food Nexus Studies
CEA Paris-Saclay
2023
Laboratoire des Sciences du Climat et de l'Environnement
2023
Université Paris-Saclay
2023
Université de Versailles Saint-Quentin-en-Yvelines
2023
Centre National de la Recherche Scientifique
2023
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2023
Laboratoire de Physico-Chimie de l'Atmosphère
2020-2021
Wageningen University & Research
2016
National and Kapodistrian University of Athens
2014
Cyclone Xaver (5 December 2013; North Sea) was an extreme weather event which affected northern Europe, yielding a record of wind power generation. The most striking aspects this atmospheric phenomenon were the gale-force winds and upcoming abrupt increase over Sea. main objective study is analysis impact on offshore production. In way, WRF numerical model used to simulate cyclone in fine horizontal resolution (5km x 5km). focus simulation extended region Sea Baltic evaluation outputs...
The necessity to reduce C O 2 emissions in combination with the rising energy demand worldwide makes extensive use of renewable sources increasingly important. To that end, countries long coastlines, such as Norway, can exploit ocean wave produce large amounts power. In order facilitate these efforts well provide quantitative data on potential a specific area, it is essential analyze weather and climatic conditions detecting any variabilities. complex physical processes atmosphere-wave...
Marine Renewable Energy (MRE) resources such as wind and wave energy depend on the complex behaviour of weather climatic conditions which determine development MRE technologies, grid, supply prices. This study investigates spatiotemporal variability along Norwegian coast employing NORA10 (NOrwegian ReAnalysis 10 km) data for period 1957-2016. The results indicate high local mean exceeding 1 kW m-2 40 m-1, respectively. We find that undergo a positive trend over time is attributed to...
Abstract The studies related to the coherent structures in atmosphere, using Doppler wind lidar observations, so far relied on manual detection and classification of images, making this process time-consuming. We developed an automated based texture analysis parameters quadratic discriminant algorithm for medium-to-large fluctuations recorded by single quasi-horizontal scans. classified a training dataset 150 cases into four types patterns, namely streaks (narrow stripes), rolls (wide...
Abstract. Medium-to-large fluctuations and coherent structures (mlf-cs's) can be observed using horizontal scans from single Doppler lidar or radar systems. Despite the ability to detect visually on images, this method would time-consuming large datasets, thus limiting possibilities perform studies of properties over more than a few days. In order overcome problem, an automated classification was developed, based observations recorded by scanning (Leosphere WLS100) installed atop 75 m tower...
Quantification of NO2 from different sectors economic activity remains critical to monitor air pollutants with the rapid development infrastructures and industrialization emerging economies. This study aims estimate emissions using satellite measurements TROPOMI over northern Egypt a full-chemistry atmospheric transport model (WRF-Chem, including aerosol chemistry) non-linear Bayesian method. Our top-down approach was carried out for two months, January July 2022, analyse seasonal variations...
Abstract. Turbulent structures can be observed using horizontal scans from single Doppler lidar or radar systems. Despite the ability to detect manually on images, this method would time-consuming large datasets, thus limiting possibilities perform studies of turbulent properties over more than a few days. In order overcome problem, an automated classification was developed, based observations recorded by scanning (LEOSPHERE WLS100) and installed atop 75-m tower in Paris city centre (France)...
<p>Atmospheric chemistry models play a major role for relating greenhouse gases and pollutants concentrations to emissions at high temporal resolutions over large areas. On that account, it is fundamental use up-to-date anthropogenic maps as model inputs. Despite efforts by researchers create global emission datasets with resolutions, countries no national data, generic activity factors are used, thus the accurate representation of in local scale still remains challenging. This...
Abstract. As many large metropolitan areas have pledged for a rapid decrease of their greenhouse gas emissions through ambitious climate mitigation policies, the need and robust quantification methods became more pressing. At global scale, scarcity satellite carbon dioxide (CO2) observations remains major roadblock to producing independent city-scale CO2 estimates from atmospheric data, except handful cities benefiting dense network ground-based sensors. In this study, we quantify potential...
We present algorithms and results of automated processing LiDAR measurements obtained during VEGILOT measuring campaign in Paris autumn 2014 order to study horizontal turbulent atmospheric regimes on urban scales. To process images by scanning using Doppler LiDAR, the method is proposed based texture analysis classification supervised machine learning algorithms. The parallel various classifiers were combined majority voting strategy. estimates accuracy demonstrate efficiency for solving...
<p>Pulsed Doppler wind lidars (PDWL) have been extensively used in order to study the atmospheric turbulence. Their ability scan large areas a short period of time is substantial advantage over in-situ measurements. Furthermore, PDWL are capable horizontally as well vertically thus providing observations throughout boundary layer (ABL). By analysing it possible identify turbulent structures ABL such thermals, rolls and streaks. Even though several studies carried out analyse...