Alban Farchi

Alban Farchi

École des Ponts ParisTech

H-index: 11

Europe-France

About Alban Farchi

Alban Farchi, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at École des Ponts ParisTech, specializes in the field of data assimilation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep learning of subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell-Elasto-Brittle rheology

Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants

Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

Deep reinforcement learning of model error corrections

Representation learning with unconditional denoising diffusion models for dynamical systems

Hybrid modelling with deep learning for improved sea-ice forecasting

Accounting for meteorological biases in simulated plumes using smarter metrics

Online Model Error Correction With Neural Networks in the Incremental 4D‐Var Framework

Alban Farchi Information

University

Position

/ CEREA

Citations(all)

430

Citations(since 2020)

390

Cited By

109

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

École des Ponts ParisTech

Google Scholar

View Google Scholar Profile

Alban Farchi Skills & Research Interests

data assimilation

Top articles of Alban Farchi

Title

Journal

Author(s)

Publication Date

Deep learning of subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell-Elasto-Brittle rheology

The Cryosphere

Tobias Sebastian Finn

Charlotte Durand

Alban Farchi

Marc Bocquet

Yumeng Chen

...

2023/7/21

Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants

Geoscientific Model Development

Joffrey Dumont Le Brazidec

Pierre Vanderbecken

Alban Farchi

Marc Bocquet

Jinghui Lian

...

2023/7/14

Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

Sibo Cheng

César Quilodrán-Casas

Said Ouala

Alban Farchi

Che Liu

...

2023/5/31

Deep reinforcement learning of model error corrections

Tobias Finn

Charlotte Durand

Alban Farchi

Marc Bocquet

2023

Representation learning with unconditional denoising diffusion models for dynamical systems

EGUsphere

Tobias Sebastian Finn

Lucas Disson

Alban Farchi

Marc Bocquet

Charlotte Durand

2023/10/20

Hybrid modelling with deep learning for improved sea-ice forecasting

Tobias Finn

Charlotte Durand

Alban Farchi

Marc Bocquet

Yumeng Chen

...

2023

Accounting for meteorological biases in simulated plumes using smarter metrics

Atmospheric Measurement Techniques

Pierre J Vanderbecken

Joffrey Dumont Le Brazidec

Alban Farchi

Marc Bocquet

Yelva Roustan

...

2023

Online Model Error Correction With Neural Networks in the Incremental 4D‐Var Framework

Journal of Advances in Modeling Earth Systems

Alban Farchi

Marcin Chrust

Marc Bocquet

Patrick Laloyaux

Massimo Bonavita

2023/9

Evaluating atmospheric models in the stratosphere using oceanic infrasound ambient noise.

EGU General Assembly Conference Abstracts

Pierre Letournel

Constantino Listowski

Marc Bocquet

Alexis Le Pichon

Alban Farchi

...

2023/5

Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic

EGUsphere

Charlotte Durand

Tobias Sebastian Finn

Alban Farchi

Marc Bocquet

Einar Òlason

2023/8/23

Deep learning for surrogate modelling of neXtSIM

EGU General Assembly Conference Abstracts

Charlotte Durand

Tobias Finn

Alban Farchi

Marc Bocquet

Einar Olason

2023/5

Deep learning applied to CO2 power plant emissions quantification using simulated satellite images

Geoscientific Model Development Discussions

Joffrey Dumont Le Brazidec

Pierre Vanderbecken

Alban Farchi

Grégoire Broquet

Gerrit Kuhlmann

...

2023/7/26

CO2 plume detection and inversion using convolutional neural networks: application to synthetic images of XCO2 fields over urban areas

Joffrey Dumont Le Brazidec

Pierre Vanderbecken

Alban Farchi

Marc Bocquet

Jinghui Lian

...

2022

State, global, and local parameter estimation using local ensemble Kalman filters: Applications to online machine learning of chaotic dynamics

Quarterly Journal of the Royal Meteorological Society

Quentin Malartic

Alban Farchi

Marc Bocquet

2022/7

Comparison of non-local metrics towards the assimilation of pollutant plumes without thedouble penalty

EGU General Assembly Conference Abstracts

Pierre Vanderbecken

Alban Farchi

Marc Bocquet

Joffrey Dumont le Brazidec

Yelva Roustan

...

2022/5

Learning and screening of neural networks architectures for sub-grid-scale parametrizations of sea-ice dynamics from idealised twin experiments

EGU General Assembly Conference Abstracts

Tobias Finn

Charlotte Durand

Alban Farchi

Marc Bocquet

Yumeng Chen

...

2022/5

Model error correction with data assimilation and machine learning

EGU General Assembly Conference Abstracts, pages EGU22–5692

Alban Farchi

Marc Bocquet

Patrick Laloyaux

Massimo Bonavita

Marcin Chrust

...

2022/3/25

A three-year evolution and comparison of the blaCTX-M genes in pathogenic and non-pathogenic Escherichia coli isolated from young diarrheic and septicaemic calves in Belgium

Research in Veterinary Science

Virginie Guérin

Alban Farchi

Frédéric Cawez

Paola Mercuri

Pierrick Lucas

...

2022/12/20

Seven-Year Evolution of β-Lactam Resistance Phenotypes in Escherichia coli Isolated from Young Diarrheic and Septicaemic Calves in Belgium

Veterinary Sciences

Virginie Guérin

Alban Farchi

Damien Thiry

Frédéric Cawez

Paola Sandra Mercuri

...

2022/1/26

New plume comparison metrics for the inversion of passive gases emissions

Atmospheric Measurement Techniques Discussions

Pierre J Vanderbecken

Joffrey Dumont Le Brazidec

Alban Farchi

Marc Bocquet

Yelva Roustan

...

2022/11/4

See List of Professors in Alban Farchi University(École des Ponts ParisTech)