Environmental Data Science

Recently published! Data-driven discovery of meteotsunami patterns from sparse observations 👉 cup.org/4wcgN6l ✍️Ardiansyah Fauzi, Emiliano Renzi, @FredericDiasUCD, Daniel Santiago Pelaez-Zapata & @koksikt #data #meteotsunami #coastalhazard

Recent article! Detecting unique wind field features in hurricane Sandy from topological data maps 👉 cup.org/3OEfL25 ✍️Justin Hoffmeier (@FLPolyU) Part of the Connecting Data-Driven and Physical Approaches special issue #weather #cyclones #wind #dataanalysis

New article! Language models for the analysis of and interaction with climate change documents 👉 bit.ly/48RjC1W ✍️ Elena Volkanovska (@linglitTUDA) Part of the Tackling Climate Change with Machine Learning special issue #climatechange #MachineLearning

Calling all @BritishEcolSoc #BES2025 attendees! Visit @CambridgeUP at booth L15 in the Lennox Suite on floor -2 to find out more about Environmental Data Science journal and how to publish your research #openaccess! Have a great conference! #ecology #environment #data

New article! Using Gaussian processes for spatial prediction of PM2.5 concentration based on calibrated data from distributed low-cost sensor networks 👉 bit.ly/496Ty42 ✍️Lillian Muyama, @sserurichx, @OkureDo & @iBaino #airquality #airpollution @AirQoProject

New article! Prediction and uncertainty quantification of drought in North Benin 👉bit.ly/3Xhrrsc By authors from @UM6P_officiel, @IFDCGlobal & @uacbenin Part of the Tackling Climate Change with Machine Learning special issue #climatechange #drought #MachineLearning

📢CALL FOR PAPERS! Solution-Based #DataScience for #Environmental #Biology Challenges A special collection with @CU_ESIIL to advance data-intensive approaches to better understand today's environmental challenges 🗓️1 March-31 May 2026 ℹ️bit.ly/4q0b68m #TippingPoints

New article! From winter storm thermodynamics to wind gust extremes: discovering interpretable equations from data 👉 bit.ly/4oPzZSN ✍️ Frederick Iat-Hin Tam, Fabien Augsburger & Tom Beucler (@FGSE_UNIL) @Climformatics #CI2025 #thermodynamics #wind #windgusts

📢 CALL FOR PAPERS: Last day to submit! Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation A special collection building upon a workshop at #EGU25. ⏰ 31 October 2025 ℹ️ bit.ly/4k09cBu @brajard #climate #AI

📢 CALL FOR PAPERS: Closing soon! Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation A special collection building upon a workshop at #EGU25. ⏰ 31 October 2025 ℹ️ bit.ly/4k09cBu @brajard #climate #AI

New article! Graph neural networks for hourly precipitation projections at the convection permitting scale with a novel hybrid imperfect framework 👉 bit.ly/46RPjIF ✍️ Valentina Blasone,@ErikaCoppolaE, Guido Sanguinetti, Viplove Arora, @SerafinaDiG & Luca Bortolussi

📢Solution-Based #DataScience for #Environmental #Biology Challenges Announcing a new Call for Papers with @CU_ESIIL to advance data-intensive approaches to better understand today's environmental challenges: ℹ️bit.ly/4q0b68m #TippingPoints #Resilience #Adaptation

📢 CALL FOR PAPERS: Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation Only 1 month left to submit to this special collection building upon a workshop at #EGU25. ℹ️ bit.ly/4k09cBu @brajard #climate #AI

Recently published! Precipitation prediction over the upper Indus Basin from large-scale circulation patterns using Gaussian processes 👉 bit.ly/4nojwoo ✍️ @KenzaxTazi, Andrew Orr, J. Scott Hosking & Richard E. Turner (@BAS_News, @Cambridge_Uni, @turinginst)

New article! Toward accurate forecasting of renewable energy: Building datasets and benchmarking machine learning models for solar and wind power in France 👉 bit.ly/4mCtrWj ✍️ Eloi Lindas, @YannigGoude & @ciais_philippe @LSCE_IPSL #climate #MachineLearning

New article! Air quality prediction from images in Indonesia: enhancing model explainability through visual explanation with AQI-net and grad-CAM 👉 bit.ly/4g434qD ✍️ Muhammad Labib Alauddin, Novanto Yudistira & Muhammad Arif Rahman @Climformatics #CI2025 #airquality

Recently published! 🌍 Crafting desirable climate trajectories with reinforcement learning explored socio-environmental simulations 👉 bit.ly/4oVbLre ✍️James Rudd-Jones, Fiona Thendean & @MPerezOrtiz_ (@ai_ucl, @uclcs) #ClimateChange #ClimatePolicy

New article! 🌍🛰️ Discrete variational autoencoders for synthetic nighttime visible satellite imagery 👉 bit.ly/4oVjTb5 ✍️ Mickell D. Als, David Tomarov & Steve Easterbrook (@UofTCompSci) Part of the @Climformatics #CI2025 collection #DeepLearning #RemoteSensing

New article!🌍💨💡 Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6 👉 doi.org/10.1017/eds.20… ✍️ Nina Effenberger & Nicole Ludwig (@uni_tue) #ClimateChange #WindPower #Energy

New article! 🌳🌍 Tree semantic segmentation from aerial image time series 👉doi.org/10.1017/eds.20… ✍️Venkatesh Ramesh @ArthurOuaknine @david_rolnick Research that advances #forest monitoring using #deeplearning on aerial imagery time series.