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Environmental Data Science @envdatascience.bsky.social · 10h

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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Reposted by Environmental Data Science

Nicolas Mouquet @nmouquet.bsky.social · 09/03/2026

‪ 🌳 Do you want to contribute to research on how humans perceive forests? Take this quick, anonymous 10-min survey 🌲 👉 www.biodiful.org#/forest This will help us explore how people experience forest biodiversity! Please share on 🦋 & tag @biodiful.bsky.social to reach more participants 🙏💚 🌐🌍🦤🦑🪴🍁🧪

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Environmental Data Science @envdatascience.bsky.social · 09/03/2026

Recent article! Skillful subseasonal Indian Ocean marine heatwave forecasts using a neural network 👉 bit.ly/40c6P6k ✍️Lucas Howard, Aneesh C. Subramanian, Jithendra Raju Nadimpalli, Donata Giglio & Ibrahim Hoteit Part of Connecting Data-Driven and Physical Approaches Issue #machinelearning

bit.ly

Skillful subseasonal Indian Ocean marine heatwave forecasts using a neural network | Environmental Data Science | Cambridge Core

Skillful subseasonal Indian Ocean marine heatwave forecasts using a neural network - Volume 5

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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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Reposted by Environmental Data Science

Climate.us @climate.us · 22/10/2025

We are Climate.us, a nonprofit successor to Climate(.)gov. Our goal is to build an enduring, independent, and scientifically rigorous platform that the world can rely on for climate communication, education, and engagement. Stay up to date: Climate.us/#updates

1 of 4 images created by Climate.us describing their mission.
Text says: Our mission: Keeping trusted climate information up to date and easy to find.

2 of 4 images created by Climate.us describing their mission.
Text says: Climate.us will be a nonprofit successor to Climate.gov, delivering climate data and information to promote public climate literacy and to equip people to turn knowledge into meaningful conversations and climate-conscious actions.

3 of 4 images created by Climate.us describing their mission.
Text says: At the moment when critical climate information is being deleted or distorted, we are stepping up to rescue key climate resources and to ensure the public has continued easy access to the facts.

4 of 4 images created by Climate.us describing their mission.
Text says: Our goal is to build an enduring, independent, and scientifically rigorous platform that the world can rely on for climate communication, education, and engagement. Stay up to date: Climate.us/#updates

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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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