Pierre Vanderbecken
YOU?
Author Swipe
View article: Quantification of CO <sub>2</sub> hotspot emissions from OCO-3 SAM CO <sub>2</sub> satellite images using deep learning methods
Quantification of CO <sub>2</sub> hotspot emissions from OCO-3 SAM CO <sub>2</sub> satellite images using deep learning methods Open
This paper presents the development and application of a deep-learning-based method for inverting CO2 atmospheric plumes from power plants using satellite imagery of the CO2 total column mixing ratios (XCO2). We present an end-to-end convo…
View article: Quantification of CO <sub>2</sub> hotspot emissions from OCO-3 SAM CO <sub>2</sub> satellite images using deep learning methods
Quantification of CO <sub>2</sub> hotspot emissions from OCO-3 SAM CO <sub>2</sub> satellite images using deep learning methods Open
This paper presents the development and application of a deep learning-based method for inverting CO2 atmospheric plumes from power plants using satellite imagery of the CO2 total column mixing ratios (XCO2). We present an end-to-end CNN a…
View article: Bridging classical data assimilation and optimal transport: the 3D-Var case
Bridging classical data assimilation and optimal transport: the 3D-Var case Open
Because optimal transport (OT) acts as displacement interpolation in physical space rather than as interpolation in value space, it can avoid double-penalty errors generated by mislocations of geophysical fields. As such, it provides a ver…
View article: A neural network as observation operator for the assimilation of microwave satellite observations
A neural network as observation operator for the assimilation of microwave satellite observations Open
In the framework of the EU-project CORSO, a multitude of in-situ and remote-sensing observations are exploited to better quantify the anthropogenic part of the CO2 emissions. Here, we use microwave satellite observations from the SMAP and …
View article: Deep learning applied to CO <sub>2</sub> power plant emissions quantification using simulated satellite images
Deep learning applied to CO <sub>2</sub> power plant emissions quantification using simulated satellite images Open
The quantification of emissions of greenhouse gases and air pollutants through the inversion of plumes in satellite images remains a complex problem that current methods can only assess with significant uncertainties. The anticipated launc…
View article: Comment on egusphere-2023-2755
Comment on egusphere-2023-2755 Open
Abstract. Because optimal transport acts as displacement interpolation in physical space rather than as interpolation in value space, it can potentially avoid double penalty errors. As such it provides a very attractive me…
View article: Bridging classical data assimilation and optimal transport
Bridging classical data assimilation and optimal transport Open
Because optimal transport acts as displacement interpolation in physical space rather than as interpolation in value space, it can potentially avoid double penalty errors. As such it provides a very attractive metric for non-negative physi…
View article: Comment on gmd-2023-142
Comment on gmd-2023-142 Open
Abstract. The quantification of emissions of greenhouse gases and air pollutants through the inversion of plumes in satellite images remains a complex problem that current methods can only assess with significant uncertain…
View article: Deep learning applied to CO <sub>2</sub> power plant emissions quantification using simulated satellite images
Deep learning applied to CO <sub>2</sub> power plant emissions quantification using simulated satellite images Open
The quantification of emissions of greenhouse gases and air pollutants through the inversion of plumes in satellite images remains a complex problem that current methods can only assess with significant uncertainties. The anticipated launc…
View article: Segmentation of XCO <sub>2</sub> images with deep learning: application to synthetic plumes from cities and power plants
Segmentation of XCO <sub>2</sub> images with deep learning: application to synthetic plumes from cities and power plants Open
Under the Copernicus programme, an operational CO2 Monitoring Verification and Support system (CO2MVS) is being developed and will exploit data from future satellites monitoring the distribution of CO2 within the atmosphere. Methods for es…
View article: co2-images-inv-pp: inversion models weights (convolutional neural networks)
co2-images-inv-pp: inversion models weights (convolutional neural networks) Open
Release for "Deep learning applied to CO2 power plant emissions quantification using simulated satellite images", submitted to " Geoscientific Model Development" Weights of the Convolutional Neural Networks inversion model.
View article: Accounting for meteorological biases in simulated plumes using smarter metrics
Accounting for meteorological biases in simulated plumes using smarter metrics Open
In the next few years, numerous satellites with high-resolution instruments dedicated to the imaging of atmospheric gaseous compounds will be launched, to finely monitor emissions of greenhouse gases and pollutants. Processing the resultin…
View article: Comment on gmd-2022-288
Comment on gmd-2022-288 Open
Abstract. Under the Copernicus programme, an operational CO2 monitoring system (CO2MVS) is being developed and will exploit data from future satellites monitoring the amount of CO2 within t…
View article: Comment on gmd-2022-288
Comment on gmd-2022-288 Open
Abstract. Under the Copernicus programme, an operational CO2 monitoring system (CO2MVS) is being developed and will exploit data from future satellites monitoring the amount of CO2 within t…
View article: Reply on RC1
Reply on RC1 Open
Abstract. In the next few years, numerous satellites with high-resolution instruments dedicated to the imaging of atmospheric gaseous compounds will be launched, to finely monitor emissions of greenhouse gases and pollutan…
View article: Reply on RC2
Reply on RC2 Open
In the next few years, numerous satellites with high-resolution instruments dedicated to the imaging of atmospheric gaseous compounds will be launched, to finely monitor emissions of greenhouse gases and pollutants. Processing the resultin…
View article: Segmentation of XCO <sub>2</sub> images with deep learning: application to synthetic plumes from cities and power plants
Segmentation of XCO <sub>2</sub> images with deep learning: application to synthetic plumes from cities and power plants Open
Under the Copernicus programme, an operational CO2 monitoring system (CO2MVS) is being developed and will exploit data from future satellites monitoring the amount of CO2 within the atmosphere. Methods for estimating CO2 emissions from sig…
View article: Simulated XCO2 images and hotspot plumes formatted for deep learning methods and segmentation models weights.
Simulated XCO2 images and hotspot plumes formatted for deep learning methods and segmentation models weights. Open
Dataset and weights release for preprint "Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants" Joffrey Dumont Le Brazidec et al.
View article: New plume comparison metrics for the inversion of passive gases emissions
New plume comparison metrics for the inversion of passive gases emissions Open
In the next few years, numerous satellites with high-resolution instruments dedicated to the imaging of atmospheric gaseous compounds will be launched, to finely monitor emissions of greenhouse gases and pollutants. Processing the resultin…
View article: Passive gas plume database for metrics comparison
Passive gas plume database for metrics comparison Open
Plume database used for the evaluation of different metrics that are presented in the submitted paper "New plume comparison metrics for the inversion of passive gases emissions". The synthetical CO2 plumes presented in the NetCDF file enti…
View article: Passive gas plume database for metrics comparison
Passive gas plume database for metrics comparison Open
Plume database used for the evaluation of different metrics that are presented in the submitted paper "New plume comparison metrics for the inversion of passive gases emissions". The synthetical CO2 plumes presented in the NetCDF file enti…
View article: Comparison of non-local metrics towards the assimilation of pollutant plumes without thedouble penalty
Comparison of non-local metrics towards the assimilation of pollutant plumes without thedouble penalty Open
<p><span>In the future, spectral image monitoring instruments from ESA missions will</span><br><span>provide</span> <span>spatial</span> <span>observations</span> <span>of&l…
View article: Contribution of infrasound to data assimilation in a global numerical weather prediction model
Contribution of infrasound to data assimilation in a global numerical weather prediction model Open
Les ondes infrasonores, aussi appelées infrasons, sont des ondes acoustiques comprises entre 0 et 20 Hz émises par une large variété de sources. Leurs basses fréquences font que les gradients verticaux de vent et de température conduisent …
View article: Bayesian Selection of Atmospheric Profiles from an Ensemble Data Assimilation System using Infrasonic Observations of May 2016 Mount Etna Eruptions
Bayesian Selection of Atmospheric Profiles from an Ensemble Data Assimilation System using Infrasonic Observations of May 2016 Mount Etna Eruptions Open
Observed infrasound arrivals are considered as a way to provide additional knowledge of the middle atmosphere for numerical weather prediction (NWP) models. To do so, a Bayesian approach, based on the discrepancies between predicted and ob…
View article: Tunisian infrasound detections from Mont Etna eruptions over May 2016
Tunisian infrasound detections from Mont Etna eruptions over May 2016 Open
Dear colleague,\n\nThis repository gathers datasets used in the article "Bayesian selection of atmospheric profiles from an ensemble data assimilation system using infrasonic observations of May 2016 Etna eruptions". This article was submi…
View article: Tunisian infrasound detections from Mont Etna eruptions over May 2016
Tunisian infrasound detections from Mont Etna eruptions over May 2016 Open
Dear colleague, This repository gathers datasets used in the article "Bayesian selection of atmospheric profiles from an ensemble data assimilation system using infrasonic observations of May 2016 Etna eruptions". This article was submitte…