logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
BackJournal Details
E

Environmental Data Science

IF1.7
Papers23
Citations
Journal Papers 23
Publication Date
delete
Assessing the risk of future Dunkelflaute events for Germany using generative deep learning
deleteEnvironmental Data Science
IF1.7
delete2026-05-12
delete1
PREAI
deleteStrnad, Felix; Schmidt, Jonathan; Mockert, Fabian; Hennig, Philipp; Ludwig, Nicole
deleteShare
deleteSave
Assessing the risk of future Dunkelflaute events for Germany using generative deep learning
deleteEnvironmental Data Science
IF1.7
delete2026-05-01
delete1
PREAI
deleteStrnad, Felix; Schmidt, Jonathan; Mockert, Fabian; Hennig, Philipp; Ludwig, Nicole
deleteShare
deleteSave
Correcting dry/wet classification bias in precipitation downscaling via generative adversarial networks
deleteEnvironmental Data Science
IF1.7
delete2026-05-01
delete1
PREAI
deleteSingh, Shivam; Papalexiou, Simon Michael; Abdelmoaty, Hebatallah M.; Hartvigsen, Tom; Mamalakis, Antonios
deleteShare
deleteSave
How reliable are retrieval-augmented and standard ChatGPT models to support flood susceptibility mapping?
deleteEnvironmental Data Science
IF1.7
delete2026-04-21
delete0
PREAI
deletePourzangbar, Ali; Franca, Mario J.
deleteShare
deleteSave
Data-driven discovery of meteotsunami patterns from sparse observations
deleteEnvironmental Data Science
IF1.7
delete2026-04-06
delete0
PREAI
deleteFauzi, Ardiansyah; Renzi, Emiliano; Dias, Frederic; Pelaez-Zapata, Daniel Santiago; Kokina, Tatjana
deleteShare
deleteSave
Detecting unique wind field features in hurricane Sandy from topological data maps
deleteEnvironmental Data Science
IF1.7
delete2026-04-06
delete0
PREAI
deleteHoffmeier, Justin
deleteShare
deleteSave
Combined effects of site and model parameterization for soil respiration components in a Canadian wildfire chronosequence
deleteEnvironmental Data Science
IF1.7
delete2026-03-30
delete0
PREAI
deleteZobitz, John; Zhou, Xuan; Aaltonen, Heidi; Koster, Egle; Berninger, Frank; Pumpanen, Jukka; Koster, Kajar
deleteShare
deleteSave
Skillful subseasonal Indian Ocean marine heatwave forecasts using a neural network
deleteEnvironmental Data Science
IF1.7
delete2026-02-24
delete0
PREAI
deleteHoward, Lucas; Subramanian, Aneesh C.; Nadimpalli, Jithendra Raju; Giglio, Donata; Hoteit, Ibrahim
deleteShare
deleteSave
MoTiF: a self-supervised model for multi-source forecasting with application to tropical cyclones (vol 4, e36, 2025)
deleteEnvironmental Data Science
IF1.7
delete2026-02-19
delete0
deleteOAAI
deleteDauvilliers, Clement; Monteleoni, Claire
deleteShare
deleteSave
Which meteorological parameters influence extreme wind speed in a wind farm? A heterogeneous Granger causality approach
deleteEnvironmental Data Science
IF1.7
delete2026-02-09
delete0
PREAI
deleteHlavackova-Schindler, Katerina; Woss, Rainer; Schicker, Irene; Plant, Claudia
deleteShare
deleteSave
Actively inferring methane sources with drones
deleteEnvironmental Data Science
IF1.7
delete2026-01-28
delete0
PREAI
deleteVan Hove, Alouette; Aalstad, Kristoffer; Pirk, Norbert
deleteShare
deleteSave
A machine learning approach using autoencoders to perform quality control on meteorological data
deleteEnvironmental Data Science
IF1.7
delete2026-01-26
delete1
PREAI
deleteSpohn, Teresa Kristine; Walsh, Eoin; Horan, Kevin; O'Donoghue, John; Charnecki, Tim; Haslam, Merlin; Gallagher, Sarah
deleteShare
deleteSave
Utilization of artificial intelligence and thermal cameras in material analysis for hot-summer Mediterranean climates
deleteEnvironmental Data Science
IF1.7
delete2026-01-01
delete0
PREAI
deleteBenliay, Ahmet; Azeri, Turkan
deleteShare
deleteSave
Uncertainty quantification for deep learning
deleteEnvironmental Data Science
IF1.7
delete2025-12-17
delete0
deleteOAAI
deletevan Leeuwen, Peter Jan; Chiu, Jui-Yuan Christine; Yang, Chen-Kuang Kevin
deleteShare
deleteSave
Language models for the analysis of and interaction with climate change documents
deleteEnvironmental Data Science
IF1.7
delete2025-12-12
delete0
PREAI
deleteVolkanovska, Elena
deleteShare
deleteSave
Using Gaussian processes for spatial prediction of PM2.5 concentration based on calibrated data from distributed low-cost sensor networks
deleteEnvironmental Data Science
IF1.7
delete2025-12-12
delete0
PREAI
deleteMuyama, Lillian; Sserunjogi, Richard; Okure, Deo; Bainomugisha, Engineer
deleteShare
deleteSave
Prediction and uncertainty quantification of drought in North Benin
deleteEnvironmental Data Science
IF1.7
delete2025-11-24
delete0
PREAI
deleteLigan, Bernardin Marie Augustin Sedjro; Tchokponhoue, Gbegninougbo Aurel Davy; Iliho Manzi, Alain Thierry; Simperegui, Kora B. Desire; Vodounon, Rodrigue Bignon Wilfried
deleteShare
deleteSave
Precipitation prediction over the upper Indus Basin from large-scale circulation patterns using Gaussian processes (vol4 , e46 , 2025)
deleteEnvironmental Data Science
IF1.7
delete2025-11-05
delete0
deleteOAAI
deleteTazi, Kenza; Orr, Andrew; Hosking, J. Scott; Turner, Richard E.
deleteShare
deleteSave
From winter storm thermodynamics to wind gust extremes: discovering interpretable equations from data
deleteEnvironmental Data Science
IF1.7
delete2025-10-27
delete0
PREAI
deleteTam, Frederick Iat-Hin; Augsburger, Fabien; Beucler, Tom
deleteShare
deleteSave
Graph neural networks for hourly precipitation projections at the convection permitting scale with a novel hybrid imperfect framework
deleteEnvironmental Data Science
IF1.7
delete2025-10-13
delete0
PREAI
deleteBlasone, Valentina; Coppola, Erika; Sanguinetti, Guido; Arora, Viplove; Di Gioia, Serafina; Bortolussi, Luca
deleteShare
deleteSave