René's URL Explorer Experiment


Title: Redouane Lguensat

Open Graph Title: Home

X Title: Home

Description: Machine learning for ocean, atmosphere, and climate science

Open Graph Description: Machine learning for ocean, atmosphere, and climate science

Keywords:

Opengraph URL: https://redouanelg.github.io/

Generator: Jekyll v3.10.0

direct link

Domain: redouanelg.github.io

Hey, it has json ld scripts: 
{"@context":"https://schema.org","@type":"WebSite","author":{"@type":"Person","name":"Redouane Lguensat"},"description":"Machine learning for ocean, atmosphere, and climate science","headline":"Home","name":"Redouane Lguensat","url":"https://redouanelg.github.io/"}
Nonetext/html; charset=utf-8
authorRedouane Lguensat
og:localeen_US
og:site_nameRedouane Lguensat
og:typewebsite
twitter:cardsummary

Links:

Redouane Lguensathttps://redouanelg.github.io/aboutMe/
Homehttps://redouanelg.github.io/
About Mehttps://redouanelg.github.io/aboutMe/
Publicationshttps://redouanelg.github.io/publications/
Outreachhttps://redouanelg.github.io/outreach/
CVhttps://redouanelg.github.io/CV_redouane.pdf
IRDhttps://www.ird.fr
IPSLhttps://www.ipsl.fr
IMT Atlantiquehttps://www.imt-atlantique.fr
Ronan Fablethttps://rfablet.github.io
Julien Le Sommerhttps://lesommer.github.io
“Make Our Planet Great Again”https://makeourplanetgreatagain-cnrs.com/
V. Balajihttps://www.schmidtfutures.com/person/v-balaji/
Julie Deshayeshttps://juliedeshayes.github.io/
MoroccoAIhttps://morocco.ai
Google Scholar Profilehttps://scholar.google.fr/citations?user=DuiyaQoAAAAJ&hl=en
Researchgatehttps://www.researchgate.net/profile/Redouane_Lguensat
Linkedinhttps://www.linkedin.com/in/redouanelguensat/
Xhttps://x.com/redouanelg
Highlighthttps://eos.org/editor-highlights/interactive-learning-for-better-ai-based-subgrid-scale-modeling
AI4Sciencehttps://ai4science.nassma.ai/
Machine Learning and the Physical Sciences workshophttps://ml4physicalsciences.github.io
Paperhttps://arxiv.org/abs/2211.10444
codehttps://github.com/jejjohnson/ml4ssh
paperhttps://doi.org/10.1029/2022MS003162
Paperhttps://doi.org/10.1029/2022MS003124
ML4Ocean summer schoolhttps://scai.sorbonne-universite.fr/public/events/view/0cade4f19935b439a557/1
herehttps://github.com/jiho/ML4Oceans
Machine learning for Earth system modelinghttps://meetingorganizer.copernicus.org/EGU22/session/43848#Presentations
ClimateChangeAIhttps://www.climatechange.ai
Paperhttps://iopscience.iop.org/article/10.1088/1748-9326/ac0eb0
Machine learning for Earth system modelinghttps://meetingorganizer.copernicus.org/EGU21/session/40110
linkhttps://www.bsc.es/research-and-development/research-seminars/virtual-bsc-rsai4es-seminar-uncertainty-quantification-and-ml-the-tuning-climate-models
Paperhttps://journals.aps.org/prfluids/accepted/01078Sd5K491ea04a11c1c28bcd9368a92c3065d6
codehttps://github.com/hrkz/SubgridTransportNN
Paperhttps://ieeexplore.ieee.org/abstract/document/9247537/
ECMWF-ESA Workshop on Machine Learninghttps://events.ecmwf.int/event/172/
Codalabhttps://competitions.codalab.org/competitions/26644
ClimateChangeAIhttps://www.climatechange.ai
Paperhttps://arxiv.org/abs/2011.07017
Codehttps://github.com/paulaharder/hackathon-ci-2020
Linkhttps://agu.confex.com/agu/fm20/meetingapp.cgi/Session/104808
Arxivhttps://arxiv.org/abs/2005.01090
codehttps://github.com/CIA-Oceanix/DetideNet
Machine learning for Earth system modelinghttps://meetingorganizer.copernicus.org/EGU2020/displays/34710
LOCEANhttps://www.locean-ipsl.upmc.fr
Machine Learning and the Physical Sciences workshophttps://ml4physicalsciences.github.io
Paperhttps://arxiv.org/abs/1911.08856
codehttps://github.com/redouanelg/qgsw-DI/tree/master/QGNET
detailshttps://sites.google.com/view/climateinformatics2019/hackathon
Global Science Week 2019https://edu.univ-grenoble-alpes.fr/research-and-innovation/science-week/data-science-for-the-future-784127.htm?RH=1550237818168
IndabaXMoroccohttps://indabaxmorocco.github.com
Abstracthttps://meetingorganizer.copernicus.org/EGU2019/EGU2019-15250.pdf
AI & Climate-Ocean-Atmoshperehttps://www.imt-atlantique.fr/fr/conferences/ia-climat-ocean-atmosphere

Viewport: width=device-width, initial-scale=1.0, maximum-scale=1

URLs of crawlers that visited me.