Environmental Data Science@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/…
Joined September 2020
404 Photos and videos
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
1
152
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
1
149
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
1
137
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
1
135
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
2
130
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
3
143
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
130
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
111
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
1
1
140
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
1
108
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
122
Recent article! Explainable machine learning highlights the role of diffuse radiation in ecosystem carbon uptake of boreal forest 👉cup.org/4wIPNLh ✍️Topi Markus Laanti, Aino Aarne, Maxime Durand et al. @MarkkuKulmala1 @lintunen_anna  #machinelearning #borrealforest
1
2
119
New article! Calibrated conformal prediction intervals for microphysical process rates 👉cup.org/4w0sooz ✍️Miriam Simm, Corinna Hoose and Tom Beucler #cloud #microphysics #conformalprediction #machinelearning
133
New article! Precipitation nowcasting of satellite data using physically aligned neural networks 👉cup.org/4wfMkDp ✍️Antônio Catão, Leonardo Voltarelli, Melvin Poveda and Paulo Orenstein (@IMPAOficial) #precipitation #data #satellitedata #neuralnetworks #nowcasting
1
120
New article! Correcting dry/wet classification bias in precipitation downscaling via generative adversarial networks 👉 cup.org/4ugXdUr ✍️Shivam Singh, @SimonPapalexiou, Hebatallah M. Abdelmoaty, @tom_hartvigsen & @AntoniosMamala2 #data #generativemodels #precipitation
2
103
New article! Assessing the risk of future Dunkelflaute events for Germany using generative deep learning 👉cup.org/4nEHj4c ✍️ Felix Strnad, Jonathan Schmidt, Fabian Mockert, Philipp Hennig & @nnludwig (@uni_tue) #CMIP6 #renewableenergy #generativeAI #climate
1
1
159
Recently published! How reliable are retrieval-augmented and standard ChatGPT models to support flood susceptibility mapping? 👉cup.org/4uoQb0F ✍️@pourzangbar and @Mario_J_Franca #ChatGPT #LLMs #floods #machinelearning

How reliable are retrieval-augmented and standard ChatGPT models to support flood susceptibility...

How reliable are retrieval-augmented and standard ChatGPT models to support flood susceptibility mapping? - Volume 5

cambridge.org
1
109
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
1
173
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

Detecting unique wind field features in hurricane Sandy from topological data maps | Environmental...

Detecting unique wind field features in hurricane Sandy from topological data maps - Volume 5

cambridge.org
96
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
1
1
137
Load more