@EnvDataScience

Environmental Data Science is an #OpenAccess @CambridgeUP journal dedicated to the use of data science & AI to enhance our understanding of the environment.

 Cambridge, UK
cambridge.org/core/journals/environmental-data-science
Joined September 2020
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Explore most read articles from Environmental Data Science. Free to read and share: cup.org/4yQ9CSl #OAWeek
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Meet the new Editor of Environmental Data Science in this interview with Dr. Qili Dai 馃憠 bit.ly/4jGYFO0 #environmental #environmentalscience #data
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Recently published! Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression 馃憠cup.org/4rKqF5m 鉁嶏笍@sanjitdp, Margaret Johnson, Madeleine Pascolini-Campbell, Glynn Hulley聽and Mikael Kuusela #data #ECOSTRESS
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New article! Cross-domain offshore wind power forecasting: transfer learning through meteorological clusters 馃憠cup.org/4iZAhXH 鉁嶏笍Dominic Weisser, Chloe Hashimoto-Cullen聽and @bguedj #enviromental #data #wind
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New article! CNN-based forecasting of early winter NAO using sea surface temperature 馃憠cup.org/4xP9z7W 鉁嶏笍Elena Provenzano, Guillaume Gastineau, Carlos Mejia, Didier Swingedouw聽and Sylvie Thiria #CNN #NAO #ENSO
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New article! A machine learning approach to detecting environmental crimes in Brazil 馃憠cup.org/46MJJ9F By Matthew C. Ingram #machinelearning #Brazil #crime #environment
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New article! Human-centric skills are essential for the responsible and rigorous application of AI in ecology 馃憠cup.org/4h4fvng 鉁嶏笍@jmkendallbar, Allison R. Payne, @mfczap, Nathan Fox, Jessica Leivesley, Michaela Alksne, @beverlyjfrench, @AliceMalivert et al #AI #ecology
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New article! Dissipating the correlation smokescreen: causal decomposition of the radiative effects of biomass burning aerosols over the South-East Atlantic 馃憠cup.org/4c0Oa3D 鉁嶏笍Emilie Fons, Isabel Louise McCoy, Tom Beucler, David Neubauer & Ulrike Lohmann #smoke #BBAs
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New article! Super-resolving coarse-resolution weather forecasts with flow matching 馃憠cup.org/4zwkoxO 鉁嶏笍Aymeric Delefosse, Anastase Charantonis and Dominique B茅r茅ziat Part of the Climate Informatics 2026 special issue @Inria #weather #forecasting #deeplearning
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New article! Future wildfire risk in Southern Europe under changing land use, population, and climate: a data-driven approach 馃憠cup.org/4g5tIj8 鉁嶏笍@meuriot_ophelie, Jorge Soto Martin, Francisco Camara Pereira聽and Martin Drews #climatechange #machinelearning #wildfire
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New article! Generative unsupervised downscaling of climate models via domain alignment: Application to wind fields 馃憠cup.org/4q0c7Oa 鉁嶏笍Julie Keisler, Boutheina Oueslati, Anastase Charantonis, @YannigGoude & Claire Monteleoni #downscaling #flowmatching #generative
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Recently published! Joint bias correction and downscaling of subseasonal forecasts via diffusion models 馃憠cup.org/4yXJu8r 鉁嶏笍Maria Pyrina, Adel Imamovic, Dominik Bueeler, Christoph Spirig聽and Daniela I.V. Domeisen #climate #subseasonalprediction
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Recently published! Interpretable machine learning for CMIP6 multi-model ensembles 馃憠cup.org/45FZTkm 鉁嶏笍Siyi Wu聽and Steve M. Easterbrook Part of the Climate Informatics 2026 special issue #CMIP6 #machinelearning #clustering #ensembleweighting
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Recently published! A generative likelihood framework for high-resolution climate model evaluation 馃憠 cup.org/4fNN3Gw 鉁嶏笍Lilli Johanna Freischem, Tim Reichelt, Ronald Clark, @PhilipStier聽and @hannahmchr #climate #climatemodel
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New article! SYNOPTICBENCH: evaluating vision-language models on generating weather forecast discussions of the future 馃憠cup.org/4x01Dkh 鉁嶏笍Timothy Higgins, @AntoniosMamala2聽and @_cagarwal #visionlanguagemodel #multimodality #weatherforecasting
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Recently published! Emulating non-differentiable metrics via knowledge-guided learning: Introducing the Minkowski image loss 馃憠 cup.org/3TppDyy 鉁嶏笍Filippo Quarenghi, Ryan Cotsakis聽and Tom Beucler #differentiability #machinelearning #radarprecipitation
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New article! One stone three birds: Three-dimensional implicit neural network for compression and continuous representation of multi-altitude climate data 馃憠cup.org/4wbBDm3 鉁嶏笍Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian聽& Byung-Jun Yoon #climate
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Recent article! Explainable machine learning highlights the role of diffuse radiation in ecosystem carbon uptake of boreal forest 馃憠cup.org/4wIPNLh 鉁嶏笍Topi Markus Laanti, Aino Aarne, Maxime Durand et al. @MarkkuKulmala1 @lintunen_anna聽 #machinelearning #borrealforest
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New article! Calibrated conformal prediction intervals for microphysical process rates 馃憠cup.org/4w0sooz 鉁嶏笍Miriam Simm, Corinna Hoose聽and Tom Beucler #cloud #microphysics #conformalprediction #machinelearning
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New article! Precipitation nowcasting of satellite data using physically aligned neural networks 馃憠cup.org/4wfMkDp 鉁嶏笍Ant么nio Cat茫o, Leonardo Voltarelli, Melvin Poveda聽and Paulo Orenstein (@IMPAOficial) #precipitation #data #satellitedata #neuralnetworks #nowcasting
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