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Environmental Data Science @envdatascience.bsky.social · 02/10/2026

New article! CNN-based forecasting of early winter NAO using sea surface temperature 👉https://cup.org/4xP9z7W ✍️Elena Provenzano, Guillaume Gastineau, Carlos Mejia, Didier Swingedouw and Sylvie Thiria #CNN #NAO #ENSO

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Environmental Data Science @envdatascience.bsky.social · 30/09/2026

New article! A machine learning approach to detecting environmental crimes in Brazil 👉https://cup.org/46MJJ9F By Matthew C. Ingram #machinelearning #Brazil #crime #environment

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Environmental Data Science @envdatascience.bsky.social · 15/09/2026

Human-centric skills are essential for the responsible and rigorous application of AI in ecology 👉https://cup.org/4h4fvng ✍️@jkendallbar.bsky.social, Allison R. Payne, Max F. Czapanskiy, @foxnat.bsky.social, Jessica Leivesley, Michaela Alksne, Beverly French, @alicemalivert.bsky.social et al #AI

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Environmental Data Science @envdatascience.bsky.social · 24/08/2026

New article! Dissipating the correlation smokescreen: causal decomposition of the radiative effects of biomass burning aerosols over the South-East Atlantic 👉https://cup.org/4c0Oa3D ✍️Emilie Fons, Isabel Louise McCoy, Tom Beucler, David Neubauer & Ulrike Lohmann #BBAs @climformatics.bsky.social

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Environmental Data Science @envdatascience.bsky.social · 20/08/2026

New article! Super-resolving coarse-resolution weather forecasts with flow matching 👉https://cup.org/4zwkoxO ✍️Aymeric Delefosse, Anastase Charantonis & @dominiquebereziat.eurosky.social Part of the Climate Informatics 2026 special issue @lip6.fr #weather #forecasting #deeplearning

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Environmental Data Science @envdatascience.bsky.social · 12/08/2026

New article! Future wildfire risk in Southern Europe under changing land use, population, and climate: a data-driven approach 👉https://cup.org/4g5tIj8 ✍️Ophélie Meuriot, Jorge Soto Martin, Francisco Camara Pereira & Martin Drews #climatechange #machinelearning #wildfire @climformatics.bsky.social

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Environmental Data Science @envdatascience.bsky.social · 10/08/2026

New article! Generative unsupervised downscaling of climate models via domain alignment: Application to wind fields 👉https://cup.org/4q0c7Oa ✍️Julie Keisler, Boutheina Oueslati, Anastase Charantonis, Yannig Goude & @cmontel.bsky.social #downscaling #flowmatching @climformatics.bsky.social

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Environmental Data Science @envdatascience.bsky.social · 07/08/2026

Recently published! Joint bias correction and downscaling of subseasonal forecasts via diffusion models 👉https://cup.org/4yXJu8r ✍️Maria Pyrina, Adel Imamovic, Dominik Bueeler, Christoph Spirig and Daniela I.V. Domeisen #climate #subseasonalprediction

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Environmental Data Science @envdatascience.bsky.social · 05/08/2026

Recently published! Interpretable machine learning for CMIP6 multi-model ensembles 👉https://cup.org/45FZTkm ✍️Siyi Wu and @steve.fediscience.org.ap.brid.gy Part of the Climate Informatics 2026 special issue. #CMIP6 #machinelearning #clustering #ensembleweighting #climate

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Environmental Data Science @envdatascience.bsky.social · 05/08/2026

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Environmental Data Science @envdatascience.bsky.social · 27/07/2026

Recently published! A generative likelihood framework for high-resolution climate model evaluation 👉 cup.org/4fNN3Gw ✍️Lilli Johanna Freischem, @treichelt.bsky.social, Ronald Clark, @philipstier.bsky.social and @hannah325.bsky.social #climate #climatemodel

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Environmental Data Science @envdatascience.bsky.social · 24/07/2026

New article! SYNOPTICBENCH: evaluating vision-language models on generating weather forecast discussions of the future 👉https://cup.org/4x01Dkh ✍️Timothy Higgins, Antonios Mamalakis and Chirag Agarwal #visionlanguagemodel #multimodality #weatherforecasting

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Environmental Data Science @envdatascience.bsky.social · 22/07/2026

Recently published! Emulating non-differentiable metrics via knowledge-guided learning: Introducing the Minkowski image loss 👉 cup.org/3TppDyy ✍️Filippo Quarenghi, Ryan Cotsakis and Tom Beucler #differentiability #machinelearning #radarprecipitation

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Environmental Data Science @envdatascience.bsky.social · 20/07/2026

New article! One stone three birds: Three-dimensional implicit neural network for compression and continuous representation of multi-altitude climate data 👉https://cup.org/4wbBDm3 ✍️Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian & Byung-Jun Yoon #climate

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Environmental Data Science @envdatascience.bsky.social · 17/07/2026

Recent article! Explainable machine learning highlights the role of diffuse radiation in ecosystem carbon uptake of boreal forest 👉https://cup.org/4wIPNLh ✍️Topi Markus Laanti, Aino Aarne, Maxime Durand et al. #machinelearning #borrealforest

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Environmental Data Science @envdatascience.bsky.social · 14/07/2026

New article! Calibrated conformal prediction intervals for microphysical process rates 👉https://cup.org/4w0sooz ✍️Miriam Simm, Corinna Hoose and Tom Beucler #cloud #microphysics #conformalprediction #machinelearning

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Environmental Data Science @envdatascience.bsky.social · 30/06/2026

New article! Precipitation nowcasting of satellite data using physically aligned neural networks 👉https://cup.org/4wfMkDp ✍️Antônio Catão, Leonardo Voltarelli, Melvin Poveda and Paulo Orenstein #precipitation #data #satellitedata #neuralnetworks #nowcasting

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Environmental Data Science @envdatascience.bsky.social · 05/06/2026

New article! Correcting dry/wet classification bias in precipitation downscaling via generative adversarial networks 👉 cup.org/4ugXdUr ✍️Shivam Singh, Simon Michael Papalexiou, Hebatallah M. Abdelmoaty, @tomhartvigsen.bsky.social & Antonios Mamalakis #data #generativemodels #precipitation

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Environmental Data Science @envdatascience.bsky.social · 25/05/2026

New article! Assessing the risk of future Dunkelflaute events for Germany using generative deep learning 👉https://cup.org/4nEHj4c ✍️ Felix Strnad, @schmidtjonathan.bsky.social, Fabian Mockert, @philipphennig.bsky.social & @nnludwig.bsky.social #CMIP6 #renewableenergy #generativeAI #climate

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Environmental Data Science @envdatascience.bsky.social · 07/05/2026

Recently published! Data-driven discovery of meteotsunami patterns from sparse observations 👉 cup.org/4wcgN6l ✍️Ardiansyah Fauzi, Emiliano Renzi, Frederic Dias, Daniel Santiago Pelaez-Zapata & Tatjana Kokina #data #meteotsunami #coastalhazard @ucddublin.bsky.social

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Environmental Data Science @envdatascience.bsky.social · 28/04/2026

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 #hurricane #wind #dataanalysis

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Environmental Data Science @envdatascience.bsky.social · 01/04/2026

New article! Combined effects of site and model parameterization for soil respiration components in a Canadian wildfire chronosequence 👉https://cup.org/3NxKQEc ✍️John Zobitz, Xuan Zhou, Heidi Aaltonen, Egle Köster, Frank Berninger , Jukka Pumpanen & Kajar Köster #carbon #microbes #modelling #soil

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Environmental Data Science @envdatascience.bsky.social · 13/02/2026

New article! Which meteorological parameters influence extreme wind speed in a wind farm? A heterogeneous Granger causality approach 👉https://bit.ly/405R00I ✍️Kateřina Hlaváčková-Schindler, Rainer Wöss, Irene Schicker & Claudia Plant @univie.ac.at @aswogeosphere.bsky.social #windspeed #windenergy

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Environmental Data Science @envdatascience.bsky.social · 06/02/2026

New article! Actively inferring methane sources with drones 👉 bit.ly/4tAYwyr ✍️Alouette van Hove, Kristoffer Aalstad & Norbert Pirk (@uio.no) Part of the Connecting Data-Driven and Physical Approaches special issue. #Bayesian #drones #methane

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Environmental Data Science @envdatascience.bsky.social · 28/01/2026

New article! A machine learning approach using autoencoders to perform quality control on meteorological data 👉https://bit.ly/4qJuQNG ✍️Teresa Kristine Spohn, Eoin Walsh, Kevin Horan (@maynoothuniversity.ie), John O’Donoghue (@unioflimerick.bsky.social), Tim Charnecki, Merlin Haslam, Sarah Gallagher

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Environmental Data Science @envdatascience.bsky.social · 12/01/2026

New article! Uncertainty quantification for deep learning 👉 bit.ly/49MlJpa ✍️ Peter Jan van Leeuwen, Jui-Yuan Christine Chiu & Chen-Kuang Kevin Yang (@csuatmossci.bsky.social) Proposes a framework to improve consistency for #uncertaintyquantification in #deeplearning #machinelearning

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Environmental Data Science @envdatascience.bsky.social · 19/12/2025

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

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Environmental Data Science @envdatascience.bsky.social · 16/12/2025

Calling all @britishecologicalsociety.org #BES2025 attendees! Visit @universitypress.cambridge.org at booth L15 in the Lennox Suite, floor -2, to find out more about Environmental Data Science journal & how to publish your research #openaccess! Have a great conference! #ecology #environment #data

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Environmental Data Science @envdatascience.bsky.social · 15/12/2025

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, Richard Sserunjogi, Deo Okure & Engineer Bainomugisha ( @airqo.bsky.social) #airquality #airpollution

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Environmental Data Science @envdatascience.bsky.social · 26/11/2025

New article! Prediction and uncertainty quantification of drought in North Benin 👉https://bit.ly/3Xhrrsc Part of the Tackling #ClimateChange with #MachineLearning special issue. Study underscoreing the importance of uncertainty quantification in #drought #forecasting.

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Environmental Data Science @envdatascience.bsky.social · 14/11/2025

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

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Environmental Data Science @envdatascience.bsky.social · 05/11/2025

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.bsky.social, @unil.bsky.social ) @climformatics.bsky.social #CI2025 #thermodynamics #wind

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Environmental Data Science @envdatascience.bsky.social · 31/10/2025

📢 CALL FOR PAPERS: FINAL 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 #climate #AI #forecasting

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Environmental Data Science @envdatascience.bsky.social · 17/10/2025

📢 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 #climate #AI #forecasting

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Environmental Data Science @envdatascience.bsky.social · 15/10/2025

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

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Environmental Data Science @envdatascience.bsky.social · 14/10/2025

📢 Solution-Based #DataScience for #Environmental #Biology Challenges Announcing a new Call for Papers with @cu-esiil.bsky.social to advance data-intensive approaches to better understand today's environmental challenges: ℹ️https://bit.ly/4q0b68m 📅 31 May 2026 #TippingPoints #Resilience #Adaptation

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Environmental Data Science @envdatascience.bsky.social · 30/09/2025

📢 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 #climate #AI #forecasting

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Environmental Data Science @envdatascience.bsky.social · 29/09/2025

Recently published! Precipitation prediction over the upper Indus Basin from large-scale circulation patterns using Gaussian processes 👉 bit.ly/4nojwoo ✍️ @kenzatazi.bsky.social , Andrew Orr, @scotthosking.bsky.social & Richard E. Turner @theturing.bsky.social @bas.ac.uk #precipitation

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Environmental Data Science @envdatascience.bsky.social · 25/09/2025

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, Yannig Goude & Philippe Ciais (@lsce-ipsl.bsky.social) #climate #MachineLearning #forecasting

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Environmental Data Science @envdatascience.bsky.social · 03/09/2025

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.bsky.social‬ #CI2025 #airquality

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Environmental Data Science @envdatascience.bsky.social · 29/08/2025

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

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Environmental Data Science @envdatascience.bsky.social · 27/08/2025

New article! 🌍🛰️ Discrete variational autoencoders for synthetic nighttime visible satellite imagery 👉 bit.ly/4oVjTb5 ✍️ Mickell D. Als, David Tomarov & @steve.fediscience.org.ap.brid.gy (@uoftcompsci.bsky.social‬) Part of the @climformatics.bsky.social #CI2025 collection #DeepLearning

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Environmental Data Science @envdatascience.bsky.social · 22/08/2025

New article!🌍💨💡 Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6 👉 doi.org/10.1017/eds.... ✍️ Nina Effenberger & @nnludwig.bsky.social This uses a global #climate model and shows #wind as a reliable #energy source with turbine location essential for projections.

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Environmental Data Science @envdatascience.bsky.social · 21/08/2025

Recent article! 🌳🌍 Tree semantic segmentation from aerial image time series 👉 doi.org/10.1017/eds.... ✍️ Venkatesh Ramesh @arthurouaknine.bsky.social & @drolnick.bsky.social Research that advances #forest monitoring using #deeplearning on aerial imagery time series.

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Environmental Data Science @envdatascience.bsky.social · 20/08/2025

📢 CALL FOR PAPERS REMINDER! Connecting #Data-Driven and Physical Approaches: Application to #Climate #Modeling and #Earth System Observation Submit your work to this special collection in EDS (‪@universitypress.cambridge.org) 🗓️ 31st Oct 2025 ℹ️ bit.ly/4k09cBu @brajard.bsky.social #AI #ML #Weather

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Environmental Data Science @envdatascience.bsky.social · 20/08/2025

Article! MoTiF: a self-supervised model for multi-source #forecasting with application to #tropical #cyclones 🌀🌍 ✍️Clément Dauvilliers & Claire Monteleoni (INRIA & colorado.edu‬) �� doi.org/10.1017/eds.2025.1000014 Presents a new #deeplearning #AI method for forecasting #extremeweather.

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Environmental Data Science @envdatascience.bsky.social · 15/08/2025

Recent article! Uncertainty bounds for long-term causal effects of perturbations in spatiotemporal systems 👉 bit.ly/3Idjb8x By Kevin Debeire, Andreas Gerhardus, Renée Bichler, @jakobrunge.bsky.social‬ and Veronika Eyring #spatiotemporalmodels #uncertaintyestimations

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Environmental Data Science @envdatascience.bsky.social · 13/08/2025

Recently published! Development of a comprehensive bilateral trade-flow dataset of the environmental pressures of global food production 👉 bit.ly/3TPYC4q By authors from @nceas-ucsb.bsky.social #climatechange #agriculture #food ‪@jagephart.bsky.social‬

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Environmental Data Science @envdatascience.bsky.social · 11/08/2025

Recently published position paper by ‪@mierksch.bsky.social‬ et al.! Opportunities and challenges of quantum computing for climate modeling 👉 bit.ly/4591Cyb #climatemoedling #quantumcomputing

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Environmental Data Science @envdatascience.bsky.social · 08/08/2025

📢 CALL FOR PAPERS: Connecting Data-Driven and Physical Approaches: Application to Climate Modeling and Earth System Observation This special collection will build upon a workshop at #EGU25. 🗓️31st Oct 2025 ℹ️https://bit.ly/4k09cBu @brajard.bsky.social #climate #AI #forecasting

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