
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
Joined September 2020
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Explore Position Papers from Environmental Data Science.
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Explore special collections from Environmental Data Science.
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Explore most cited articles from Environmental Data Science.
Free to read and share: cup.org/47UTjYp
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Explore most read articles from Environmental Data Science.
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Meet the new Editor of Environmental Data Science in this interview with Dr. Qili Dai
👉 bit.ly/4jGYFO0
#environmental #environmentalscience #data
Recently published!
Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression
👉cup.org/4rKqF5m
✍️@sanjitdp, Margaret Johnson, Madeleine Pascolini-Campbell, Glynn Hulley and Mikael Kuusela
#data #ECOSTRESS
New article!
Cross-domain offshore wind power forecasting: transfer learning through meteorological clusters
👉cup.org/4iZAhXH
✍️Dominic Weisser, Chloe Hashimoto-Cullen and @bguedj
#enviromental #data #wind
New article!
CNN-based forecasting of early winter NAO using sea surface temperature
👉cup.org/4xP9z7W
✍️Elena Provenzano, Guillaume Gastineau, Carlos Mejia, Didier Swingedouw and Sylvie Thiria
#CNN #NAO #ENSO
New article!
A machine learning approach to detecting environmental crimes in Brazil
👉cup.org/46MJJ9F
By Matthew C. Ingram
#machinelearning #Brazil #crime #environment
New article!
Human-centric skills are essential for the responsible and rigorous application of AI in ecology
👉cup.org/4h4fvng
✍️@jmkendallbar, Allison R. Payne, @mfczap, Nathan Fox, Jessica Leivesley, Michaela Alksne, @beverlyjfrench, @AliceMalivert et al
#AI #ecology
New article!
Dissipating the correlation smokescreen: causal decomposition of the radiative effects of biomass burning aerosols over the South-East Atlantic
👉cup.org/4c0Oa3D
✍️Emilie Fons, Isabel Louise McCoy, Tom Beucler, David Neubauer & Ulrike Lohmann
#smoke #BBAs
New article!
Super-resolving coarse-resolution weather forecasts with flow matching
👉cup.org/4zwkoxO
✍️Aymeric Delefosse, Anastase Charantonis and
Dominique Béréziat
Part of the Climate Informatics 2026 special issue
@Inria #weather #forecasting #deeplearning
New article!
Future wildfire risk in Southern Europe under changing land use, population, and climate: a data-driven approach
👉cup.org/4g5tIj8
✍️@meuriot_ophelie, Jorge Soto Martin, Francisco Camara Pereira and Martin Drews
#climatechange #machinelearning #wildfire
New article!
Generative unsupervised downscaling of climate models via domain alignment: Application to wind fields
👉cup.org/4q0c7Oa
✍️Julie Keisler, Boutheina Oueslati, Anastase Charantonis, @YannigGoude & Claire Monteleoni
#downscaling #flowmatching #generative
Recently published!
Joint bias correction and downscaling of subseasonal forecasts via diffusion models
👉cup.org/4yXJu8r
✍️Maria Pyrina, Adel Imamovic, Dominik Bueeler, Christoph Spirig and Daniela I.V. Domeisen
#climate #subseasonalprediction
Recently published!
Interpretable machine learning for CMIP6 multi-model ensembles
👉cup.org/45FZTkm
✍️Siyi Wu and Steve M. Easterbrook
Part of the Climate Informatics 2026 special issue
#CMIP6 #machinelearning #clustering #ensembleweighting
Recently published!
A generative likelihood framework for high-resolution climate model evaluation
👉 cup.org/4fNN3Gw
✍️Lilli Johanna Freischem, Tim Reichelt, Ronald Clark,
@PhilipStier and @hannahmchr
#climate #climatemodel
New article!
SYNOPTICBENCH: evaluating vision-language models on generating weather forecast discussions of the future
👉cup.org/4x01Dkh
✍️Timothy Higgins, @AntoniosMamala2 and @_cagarwal
#visionlanguagemodel #multimodality #weatherforecasting
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
New article!
One stone three birds: Three-dimensional implicit neural network for compression and continuous representation of multi-altitude climate data
👉cup.org/4wbBDm3
✍️Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian & Byung-Jun Yoon
#climate



















