@article{boscu2026ai,
  title = {AI Emulation of Stochastic Sudden Stratospheric Warming with Interpretable Latent Structure},
  author = {C. Daniel Boscu and Daniel Hernandez and Fabio Alvarez Ventura and Justin Finkel and Ashesh Chattopadhyay and Pedram Hassanzadeh and Dorian S. Abbot},
  year = {2026},
  eprint = {2610.02069},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.02069},
}

@article{enescu2026unsupervised,
  title = {Unsupervised Domain Adaptation for Enhanced Radiometer Image Precipitation Estimation using Conditional Flow Matching},
  author = {Victor Enescu and Assaad Zeghina and Matthieu Meignin and Nicolas Viltard and Cécile Mallet},
  year = {2026},
  eprint = {2610.01890},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.01890},
}

@article{hui2026explaining,
  title = {Explaining El Niño Forecasts with the Average Gradient Outer Product},
  author = {Yuan Hui and Dorian S. Abbot and Robert J. Webber},
  year = {2026},
  eprint = {2610.01095},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.01095},
}

@article{kurth2026library,
  title = {A library for differentiable signal processing and machine learning on the sphere},
  author = {Thorsten Kurth and Max Rietmann and Mauro Bisson and Andrea Paris and Alberto Carpentieri and Jean Kossaifi and Anima Anandkumar and Christian Hundt and Boris Bonev},
  year = {2026},
  eprint = {2609.39737},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.39737},
}

@article{hamill2026methodological,
  title = {Methodological Changes to the Attention ResUNet Hourly Precipitation Postprocessor},
  author = {Thomas M. Hamill},
  year = {2026},
  eprint = {2609.38609},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.38609},
}

@article{bao2026predicting,
  title = {Predicting Delayed Train Trajectories on the Dutch Railway Network: Explainable AI Evaluation of Topological, Operational and Weather Features with Tree Based Ensemble Methods},
  author = {Jia Long Bao and Ali Mohammed Mansoor Alsahag and Seyed Sahand Mohammadi Ziabari},
  year = {2026},
  eprint = {2609.34692},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.34692},
}

@article{ozaytac2026statd2gan,
  title = {StatD2GAN: When Calibration Masks Generator Quality in Held-Out Evaluation of Synthetic Weather Sequences},
  author = {Mustafa Ozaytac and Ozge Karadag Atas},
  year = {2026},
  eprint = {2609.33761},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.33761},
}

@article{thiel2026mechanismaware,
  title = {Mechanism-Aware Ensemble Conditioning for Data-Limited Emulation of Extreme Events},
  author = {Isabella S. Thiel and Juan Bello-Rivas and Yannis G. Kevrekidis and Themistoklis P. Sapsis},
  year = {2026},
  eprint = {2609.30746},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.30746},
}

@article{lee2026pisces,
  title = {PISCES: Physics-Informed Solar-wind Convolutional autoEncoder for Space-weather Anomaly Detection and Early Warning},
  author = {Kevin Lee and Alison J. March},
  year = {2026},
  eprint = {2609.28022},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.28022},
}

@article{chegini2026sparseobservation,
  title = {Sparse-Observation Atmospheric Thermal Forecasting with Physics-Informed Neural Networks for Climate-Aware Digital Twins},
  author = {Tannaz Goodarzvand Chegini and Elyas Shivanian and Behzad Karimi and Faraz Dadgostari},
  year = {2026},
  eprint = {2609.27290},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.27290},
}

@article{budnick2026inference,
  title = {Inference of Unknown Dynamical Components Using Next Generation Reservoir Computing: From Chaotic Systems to Climate Data},
  author = {Jule Budnick and Andrew Keane and Serhiy Yanchuk},
  year = {2026},
  eprint = {2609.24754},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.24754},
}

@article{shu2026predictabilityguided,
  title = {Predictability-Guided Multiscale Probabilistic Forecasting of Wind Direction under Extreme Shear},
  author = {Hailong Shu},
  year = {2026},
  eprint = {2609.16707},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.16707},
}

@article{kieckhefen20264d,
  title = {4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling},
  author = {Deifilia Kieckhefen and Juan Pedro Gutiérrez Hermosillo Muriedas and Lars Helge Heyen and Mathis Bode and Iida Hakulinen and Andreas Herten and Chelsea Maria John and Thorsten Kurth and Anni Moisala and Asena Karolin Özdemir and Kaleb Phipps and Oskar Taubert and Arvid Weyrauch and Markus Götz and Charlotte Debus},
  year = {2026},
  eprint = {2609.12815},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.12815},
}

@article{yu2026climatemodernbert,
  title = {Climate-ModernBERT: Revisiting Corpus Composition for Domain-Adaptive Continued Pretraining},
  author = {Yongan Yu and Shantam Raj and Jingwei Ni and Ario Saeid Vaghefi and Dominik Stammbach and Markus Leippold},
  year = {2026},
  eprint = {2609.07798},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.07798},
}

@article{pena2026when,
  title = {When Does Forecast-Error Energy Grow Logistically in Geophysical Turbulence?},
  author = {Malaquias Peña},
  year = {2026},
  eprint = {2608.26492},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.26492},
}

@article{wang2026frequencyaware,
  title = {Frequency-aware forecasting for short-term typhoon gust prediction},
  author = {Xuefei Wang and Tingyi Liu and Heng Zhang and Shengjun Zhang},
  year = {2026},
  eprint = {2608.25604},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.25604},
}

@article{blom2026energy,
  title = {Energy Yield and Lifetime Climate Classification via Machine Learning for Optimizing Photovoltaic Module Design and Materials},
  author = {Youri Blom and Sofia Dutto and Alexandru Costache and Rowan Richie and Ruben Pelsser and Wesley Berger and Jing Sun and Rudi Santbergen and Olindo Isabella and Malte Ruben Vogt},
  year = {2026},
  eprint = {2608.25448},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.25448},
}

@article{beronvera2026predictability,
  title = {Predictability of El Niño from Delayed Observations},
  author = {Francisco J. Beron-Vera},
  year = {2026},
  eprint = {2608.24428},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.24428},
}

@article{anirudh2026tracing,
  title = {Tracing the Unlabeled Storm: Cross-Variable Transfer in a Lagrangian Atmospheric JEPA Framework},
  author = {K M Anirudh and S Sandeep and Hariprasad Kodamana},
  year = {2026},
  eprint = {2608.22358},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.22358},
}

@article{raghuveeran2026graph,
  title = {A Graph Neural Network Framework for Characterizing Rainfall Variability Regimes across India},
  author = {Pradyumnan Raghuveeran and Gaurav Chopra and Ajay Bankar and R. I. Sujith},
  year = {2026},
  eprint = {2608.20947},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.20947},
}

@article{ahmadi2026agentic,
  title = {An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and Weather-Sensitive Demand Prediction},
  author = {Narges Ahmadi and Yubo Jiao and Jônatas Augusto Manzolli and Jiangbo Yu and Luis Miranda-Moreno},
  year = {2026},
  eprint = {2608.20320},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.20320},
}

@article{xu2026machine,
  title = {Machine learning correction of satellite precipitation is governed by mechanism purity, not algorithmic complexity: a proof-of-concept study in Hunan, China, with pre-registered cross-regional validation},
  author = {Yi Xu},
  year = {2026},
  eprint = {2608.12988},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.12988},
}

@article{agrawal2026deep,
  title = {Deep Learning Imputation of Missing Radius of Maximum Winds (Rmax) Values in Tropical Cyclone Best-Track Data},
  author = {Swastik Agrawal and Nishkal Hundia and Ziyue Liu and Michelle Bensi},
  year = {2026},
  eprint = {2608.09683},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.09683},
}

@article{higgs2026evaluating,
  title = {Evaluating Explainable AI Methods for Geoscientific Regression: Insights from Applications and the Lorenz-63 System},
  author = {Ieuan Higgs and Todd Jones and Kieran Hunt and Anna-Louise Ellis},
  year = {2026},
  eprint = {2608.07406},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.07406},
}

@article{wang2026climatedyna,
  title = {Climate-Dyna Deep Hedging for XVAs: Model-Based Reinforcement Learning, Residual Climate HVA, and Hedge-Instrument Discovery},
  author = {Xiaozhen Wang and Francois Buet-Golfouse},
  year = {2026},
  eprint = {2608.01208},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.01208},
}

@article{tamesue2026machine,
  title = {A Machine Learning-based Non-precipitating Clouds Estimation for THz Dual-Frequency Radar},
  author = {Kazuhiko Tamesue and Zheng Wen and Shotaro Yamaguchi and Hiroyuki Kasai and Wataru Kameyama and Toshio Sato and Yutaka Katsuyama and Takuro Sato and Takeshi Maesaka},
  year = {2026},
  eprint = {2608.00653},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.00653},
}

@article{hammoud2026heat,
  title = {From Heat Stress to Perception: Interpretable Data-Driven Models of Human Thermal Sensation},
  author = {Abed Hammoud and Xinjie Huang and Qinqin Kong and Marialena Nikolopoulou and Elie Bou-Zeid},
  year = {2026},
  eprint = {2607.25850},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.25850},
}

@article{khan2026physicsinformed,
  title = {A Physics-Informed Neural Operator for Thermal Ranking of Low-Cost Wall Materials in Hot-Dry Climates},
  author = {Muhammad Akbar Khan and Fahim Raees and Ubaida Fatima},
  year = {2026},
  eprint = {2607.25668},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.25668},
}

@article{gokdeniz2026predictive,
  title = {Predictive Modeling of High-Altitude Clear Air Turbulence in the United States: A Machine Learning Approach},
  author = {Kadir Gokdeniz and Irem Ulku},
  year = {2026},
  eprint = {2607.11899},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.11899},
}

@article{sukianto2026improved,
  title = {Improved Global Ocean Heat Content Estimation by Modeling Vertical Spatio-Temporal Dependence},
  author = {Thea Sukianto and Donata Giglio and Mikael Kuusela},
  year = {2026},
  eprint = {2607.11832},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.11832},
}

@article{perezcarrasquilla2026tracing,
  title = {Tracing the space-time causal origins of Earth system extremes},
  author = {Jhayron S. Pérez-Carrasquilla and J. Jake Nichol and Vanessa Robledo and Diana Bull and Katherine Dagon and Michael N. Evans and Maria J. Molina},
  year = {2026},
  eprint = {2607.10033},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.10033},
}

@article{yu2026spatial,
  title = {Spatial Support Matters: Geometry-Aware Graph Fusion for Rainfall Field Reconstruction},
  author = {Low Jun Yu and Niramay Kachhadiya and Herath Mudiyanselage Viraj Vidura Herath and Sanka Rasnayaka and Lucy Amanda Marshall},
  year = {2026},
  eprint = {2607.01621},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.01621},
}

@article{tasim2026windaware,
  title = {Wind-Aware Reinforcement Learning Control of a Small Quadrotor Using Learned Onboard Wind Estimation in Simulated Atmospheric Turbulence},
  author = {Abdullah Al Tasim and Wei Sun},
  year = {2026},
  eprint = {2607.01528},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.01528},
}

@article{schreck2026conditional,
  title = {Conditional Tropical Cyclogenesis Rates via Rare-Event Sampling in a Neural Weather Emulator},
  author = {John S. Schreck and William Chapman and Charlie Becker and David John Gagne},
  year = {2026},
  eprint = {2606.30920},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.30920},
}

@article{torkaman2026integrated,
  title = {An Integrated Two-Stage Deep-Learning Tool for Rapid Post-Hurricane Damage Identification and Repair Scheduling},
  author = {Hooman Torkaman and Ellis Oti Boateng and Jignesh Solanki and Anurag Srivastava},
  year = {2026},
  eprint = {2606.29117},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.29117},
}

@article{kasteleyn2026does,
  title = {Does Aurora Encode Atmospheric Structure? Latent Regime Analysis and Attribution},
  author = {Emma Kasteleyn and Ana Lucic},
  year = {2026},
  eprint = {2606.26361},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.26361},
}

@article{ghanavati2026shortterm,
  title = {Short-Term Electricity Demand Forecasting for New England: A Comprehensive Machine Learning Benchmark with Weather, Calendar, and COVID-19 Indicators},
  author = {Reza Ghanavati and Behrooz Mosallaei},
  year = {2026},
  eprint = {2606.20918},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.20918},
}

@article{chen2026kftd,
  title = {KFTD: Koopman-Fourier Time-Differentiable Network for Continuous Ocean Spatiotemporal Forecasting},
  author = {Qinghui Chen and Zekai Zhang and Hailong Liu and Jinglin Zhang and Cong Bai},
  year = {2026},
  eprint = {2606.17070},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.17070},
}

@article{fofanah2026machine,
  title = {Can Machine Learning Forecast Rice Yields in Data-Constrained Settings? Satellite Climate Data, National Crop Statistics, and Lessons from Sierra Leone},
  author = {Ibrahim Denis Fofanah},
  year = {2026},
  eprint = {2606.13959},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.13959},
}

@article{inouzhe2026ai,
  title = {AI Receptivity or AI Adoption Breadth? A Tool-Specific Reanalysis of the Lower-Literacy/Higher-Usage Link},
  author = {Hristo Inouzhe},
  year = {2026},
  eprint = {2606.13734},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.13734},
}

@article{cui2026stochastic,
  title = {Stochastic weather generators for high-frequency wind vector time series},
  author = {Mingshi Cui and Kevin Eng and Justin T. Greene and Zern Ke and Abolfazl Sodagartojgi and Zhiqiu Xia and Gemma E. Moran and Michael L. Stein},
  year = {2026},
  eprint = {2606.09941},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.09941},
}

@article{beronvera2026learning,
  title = {Learning effective Sargassum transport dynamics from limited drifter observations},
  author = {F. J. Beron-VEra and M. J. Olascoaga and J. Morell and E. Cruz},
  year = {2026},
  eprint = {2605.30603},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.30603},
}

@article{manjunath2026llm,
  title = {LLM Agent Based Renewable Energy Forecasting Using Edge and IoT Data A Review of Solar Wind Weather and Grid Aware Decision Support},
  author = {Pavan Manjunath and Thomas Pruefer},
  year = {2026},
  eprint = {2605.25141},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.25141},
}

@article{pierzyna2026jaxscm,
  title = {JAX-SCM v1.0: a modern atmospheric single-column model for boundary layer research},
  author = {Maximilian Pierzyna},
  year = {2026},
  eprint = {2605.24544},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.24544},
}

@article{hillier2026deep,
  title = {Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics},
  author = {Adeline Hillier and Jennifer Sleeman and Jay Brett and Caroline Tang and Jenelle Millison and Anand Gnanadesikan},
  year = {2026},
  eprint = {2605.20580},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.20580},
}

@article{savary2026trainingfree,
  title = {Training-Free Bayesian Filtering with Generative Emulators},
  author = {Thomas Savary and François Rozet and Gilles Louppe},
  year = {2026},
  eprint = {2605.20028},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.20028},
}

@article{li2026unbox,
  title = {Unbox Responsible GeoAI: Navigating Climate Extreme and Disaster Mapping},
  author = {Hao Li and Steffen Knoblauch},
  year = {2026},
  eprint = {2605.00315},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.00315},
}

@article{becerra2026datadriven,
  title = {Data-Driven Modelling to predict forest fire spread in the Patagonian region in Argentina},
  author = {Lucas Becerra and Monica Malen Denham and Alejandro B. Kolton and Karina Laneri},
  year = {2026},
  eprint = {2605.00167},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.00167},
}

@article{kim2026kmetbench,
  title = {K-MetBench: A Multi-Dimensional Benchmark for Fine-Grained Evaluation of Expert Reasoning, Locality, and Multimodality in Meteorology},
  author = {Soyeon Kim and Cheongwoong Kang and Myeongjin Lee and Eun-Chul Chang and Jaedeok Lee and Jaesik Choi},
  year = {2026},
  eprint = {2604.24645},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.24645},
}

@article{abubakkar2026interpretable,
  title = {Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather},
  author = {Md Abubakkar and Sajib Debnath and Md. Uzzal Mia},
  year = {2026},
  eprint = {2604.23500},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.23500},
}

@article{adu2026ecobee,
  title = {Eco-Bee: A Personalised Multi-Modal Agent for Advancing Student Climate Awareness and Sustainable Behaviour in Campus Ecosystems},
  author = {Caleb Adu and Neil Kapadia and Binhe Liu and Jonathan Randall and Sruthi Viswanathan},
  year = {2026},
  eprint = {2604.15327},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.15327},
}

@article{ouattara2026heuristic,
  title = {Heuristic Style Transfer for Real-Time, Efficient Weather Attribute Detection},
  author = {Hamed Ouattara and Pierre Duthon and Pascal Houssam Salmane and Frédéric Bernardin and Omar Ait Aider},
  year = {2026},
  eprint = {2604.13947},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.13947},
}

@article{hewage2026beyond,
  title = {Beyond Weather Correlation: A Comparative Study of Static and Temporal Neural Architectures for Fine-Grained Residential Energy Consumption Forecasting in Melbourne, Australia},
  author = {Prasad Nimantha Madusanka Ukwatta Hewage and Hao Wu},
  year = {2026},
  eprint = {2604.12304},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.12304},
}

@article{chen2026datadriven,
  title = {Data-driven Urban Surface Classification Elucidates Global City Heterogeneity},
  author = {Yiheng Chen and Wai-Chi Cheng and Tzung-May Fu and Wei Tao and Aoxing Zhang and Jimmy C. H. Fung and Song Liu and Lei Zhu and Xin Yang},
  year = {2026},
  eprint = {2604.12193},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.12193},
}

@article{cardosobihlo2026solverintheloop,
  title = {A solver-in-the-loop framework for end-to-end differentiable coastal hydrodynamics},
  author = {Elsa Cardoso-Bihlo and Alex Bihlo},
  year = {2026},
  eprint = {2604.07129},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.07129},
}

@article{qian2026pasm,
  title = {PASM: Population Adaptive Symbolic Mixture-of-Experts Model for Cross-location Hurricane Evacuation Decision Prediction},
  author = {Xiao Qian and Shangjia Dong},
  year = {2026},
  eprint = {2604.00074},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.00074},
}

@article{zhang2026spectralaware,
  title = {Spectral-Aware Text-to-Time Series Generation with Billion-Scale Multimodal Meteorological Data},
  author = {Shijie Zhang},
  year = {2026},
  eprint = {2603.27135},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.27135},
}

@article{bailey2026contrastive,
  title = {Contrastive Learning Boosts Deterministic and Generative Models for Weather Data},
  author = {Nathan Bailey},
  year = {2026},
  eprint = {2603.24744},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.24744},
}

@article{thual2026climate,
  title = {Climate Prompting: Generating the Madden-Julian Oscillation using Video Diffusion and Low-Dimensional Conditioning},
  author = {Sulian Thual and Feiyang Cai and Jingjing Wang and Feng Luo},
  year = {2026},
  eprint = {2603.21856},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.21856},
}

@article{ritchhart2026agentic,
  title = {Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation},
  author = {Andrew Ritchhart and Sarah I. Allec and Pravalika Butreddy and Krista Kulesa and Qingpu Wang and Dan Thien Nguyen and Maxim Ziatdinov and Elias Nakouzi},
  year = {2026},
  eprint = {2603.15491},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.15491},
}

@article{manmatharasan2026highresolution,
  title = {High-resolution weather-guided surrogate modeling for data-efficient cross-location building energy prediction},
  author = {Piragash Manmatharasan and Girma Bitsuamlak and Katarina Grolinger},
  year = {2026},
  eprint = {2603.11121},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.11121},
}

@article{ferretti2026datadriven,
  title = {Data-Driven Integration Kernels for Interpretable Nonlocal Operator Learning},
  author = {Savannah L. Ferretti and Jerry Lin and Sara Shamekh and Jane W. Baldwin and Michael S. Pritchard and Tom Beucler},
  year = {2026},
  eprint = {2603.10305},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.10305},
}

@article{rozanov2026task,
  title = {Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes},
  author = {Aleksei Rozanov and Arvind Renganathan and Vipin Kumar},
  year = {2026},
  eprint = {2603.09974},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.09974},
}

@article{igbinoba2026idealized,
  title = {Idealized Impacts of Mountainous Terrain on the Energetics of Hurricane Melissa (2025)},
  author = {Michael Igbinoba},
  year = {2026},
  eprint = {2603.03611},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.03611},
}

@article{sayer2026datadriven,
  title = {Data-driven, non-Markovian modelling of weather in the presence of non-stationary, non-Gaussian, and heteroskedastic climate dynamics},
  author = {Thomas Sayer and Andrés Montoya-Castillo},
  year = {2026},
  eprint = {2603.00259},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.00259},
}

@article{deng2026deep,
  title = {Deep Learning Based Monthly Temperature Prediction for Jilin Province: A Multi Model Comparative Study 2000 2026},
  author = {Xingyue Deng and Xuechen Liang},
  year = {2026},
  eprint = {2602.19564},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.19564},
}

@article{groom2026distillation,
  title = {Distillation and Interpretability of Ensemble Forecasts of ENSO Phase using Entropic Learning},
  author = {Michael Groom and Davide Bassetti and Illia Horenko and Terence J. O'Kane},
  year = {2026},
  eprint = {2602.16857},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.16857},
}

@article{marcelja2026winter,
  title = {Winter forecasting of September/October rainfall},
  author = {Stjepan Marcelja},
  year = {2026},
  eprint = {2602.12497},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.12497},
}

@article{shen2026kanfif,
  title = {KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite},
  author = {Jiakang Shen and Qinghui Chen and Runtong Wang and Chenrui Xu and Jinglin Zhang and Cong Bai and Feng Zhang},
  year = {2026},
  eprint = {2602.12117},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.12117},
}

@article{imanov2026urban,
  title = {Urban Spatio-Temporal Foundation Models for Climate-Resilient Housing: Scaling Diffusion Transformers for Disaster Risk Prediction},
  author = {Olaf Yunus Laitinen Imanov and Derya Umut Kulali and Taner Yilmaz},
  year = {2026},
  eprint = {2602.06129},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.06129},
}

@article{wang2026mswep,
  title = {MSWEP V3: Machine Learning-Powered Global Precipitation Estimates at 0.1$^\circ$ Hourly Resolution (1979-Present)},
  author = {Xuetong Wang and Raied S. Alharbi and Oscar M. Baez-Villanueva and Diego G. Miralles and Jun Ma and Shiqin Xu and Matthew F. McCabe and Florian Pappenberger and Albert I. J. M. van Dijk and Tim R. McVicar and Lanka Karthikeyan and Hayley J. Fowler and Ming Pan and Solomon H. Gebrechorkos and Hylke E. Beck},
  year = {2026},
  eprint = {2602.01436},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.01436},
}

@article{hong2026wednet,
  title = {WED-Net: A Weather-Effect Disentanglement Network with Causal Augmentation for Urban Flow Prediction},
  author = {Qian Hong and Siyuan Chang and Xiao Zhou},
  year = {2026},
  eprint = {2601.22586},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.22586},
}

@article{he2026ai,
  title = {AI Decodes Historical Chinese Archives to Reveal Lost Climate History},
  author = {Sida He and Lingxi Xie and Xiaopeng Zhang and Qi Tian},
  year = {2026},
  eprint = {2601.22458},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.22458},
}

@article{yang2026conformal,
  title = {Conformal Prediction for Generative Models via Adaptive Cluster-Based Density Estimation},
  author = {Qidong Yang and Qianyu Julie Zhu and Jonathan Giezendanner and Youssef Marzouk and Stephen Bates and Sherrie Wang},
  year = {2026},
  eprint = {2601.22298},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.22298},
}

@article{weisser2026crossdomain,
  title = {Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters},
  author = {Dominic Weisser and Chloé Hashimoto-Cullen and Benjamin Guedj},
  year = {2026},
  eprint = {2601.19674},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.19674},
}

@article{pipatanakul2026typhoons,
  title = {Typhoon-S: Minimal Open Post-Training for Sovereign Large Language Models},
  author = {Kunat Pipatanakul and Pittawat Taveekitworachai},
  year = {2026},
  eprint = {2601.18129},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.18129},
}

@article{palhares2026weather,
  title = {Weather Estimation for Integrated Sensing and Communication},
  author = {Victoria Palhares and Artjom Grudnitsky and Silvio Mandelli},
  year = {2026},
  eprint = {2601.15145},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.15145},
}

@article{wu2026weatherr1,
  title = {Weather-R1: Logically Consistent Reinforcement Fine-Tuning for Multimodal Reasoning in Meteorology},
  author = {Kaiyu Wu and Pucheng Han and Hualong Zhang and Naigeng Wu and Keze Wang},
  year = {2026},
  eprint = {2601.14044},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.14044},
}

@article{chapagain2026solargptqa,
  title = {SolarGPT-QA: A Domain-Adaptive Large Language Model for Educational Question Answering in Space Weather and Heliophysics},
  author = {Santosh Chapagain and MohammadReza EskandariNasab and Onur Vural and Shah Muhammad Hamdi and Soukaina Filali Boubrahimi},
  year = {2026},
  eprint = {2601.12131},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.12131},
}

@article{gee2026learning,
  title = {Learning a Stochastic Differential Equation Model of Tropical Cyclone Intensification from Reanalysis and Observational Data},
  author = {Kenneth Gee and Sai Ravela},
  year = {2026},
  eprint = {2601.08116},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.08116},
}

@article{mohamed2026weatheraware,
  title = {Weather-Aware Transformer for Real-Time Route Optimization in Drone-as-a-Service Operations},
  author = {Kamal Mohamed and Lillian Wassim and Ali Hamdi and Khaled Shaban},
  year = {2026},
  eprint = {2601.03376},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.03376},
}

@article{shelton2026latentconstrained,
  title = {Latent-Constrained Conditional VAEs for Augmenting Large-Scale Climate Ensembles},
  author = {Jacquelyn Shelton and Przemyslaw Polewski and Alexander Robel and Matthew Hoffman and Stephen Price},
  year = {2026},
  eprint = {2601.00915},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.00915},
}

@article{fatehi2025predictive,
  title = {Predictive Modeling of Power Outages during Extreme Events: Integrating Weather and Socio-Economic Factors},
  author = {Nina Fatehi and Antar Kumar Biswas and Masoud H. Nazari},
  year = {2025},
  eprint = {2512.22699},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.22699},
}

@article{zhou2025omniweather,
  title = {Omni-Weather: A Unified Multimodal Model for Weather Radar Understanding and Generation},
  author = {Zhiwang Zhou and Yuandong Pu and Xuming He and Yidi Liu and Yixin Chen and Junchao Gong and Xiang Zhuang and Wanghan Xu and Qinglong Cao and Shixiang Tang and Yihao Liu and Wenlong Zhang and Lei Bai},
  year = {2025},
  eprint = {2512.21643},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.21643},
}

@article{kieu2025reconstructing,
  title = {Reconstructing Pre-Satellite Tropical Cyclogenesis Climatology Using Deep Learning},
  author = {Chanh Kieu and Thanh T. N. Nguyen and Duc-Trong Le and Duc Gia-Anh Hoang and Quang-Lap Luu and Binh T. Dang and Truong X. Ngo and Quang-Trung Luu and Tien D. Du and Khiem V. Mai},
  year = {2025},
  eprint = {2512.17711},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.17711},
}

@article{tivenan2025statistical,
  title = {A Statistical Framework for Spatial Boundary Estimation and Change Detection: Application to the Sahel Sahara Climate Transition},
  author = {Stephen Tivenan and Indranil Sahoo and Yanjun Qian},
  year = {2025},
  eprint = {2512.15650},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.15650},
}

@article{becker2025winter,
  title = {Winter Precipitation Type Diagnosis and Uncertainty Quantification with a Physically Consistent Machine Learning Method},
  author = {Charlie Becker and David John Gagne and Julie Demuth and John S. Schreck and Jacob Radford and Gabrielle Gantos and Eliot Kim and Dhamma Kimpara and Sophia Reiner and Justin Willson and Christopher D. Wirz},
  year = {2025},
  eprint = {2512.13899},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.13899},
}

@article{donno2025bytestorm,
  title = {ByteStorm: a multi-step data-driven approach for Tropical Cyclones detection and tracking},
  author = {Davide Donno and Donatello Elia and Gabriele Accarino and Marco De Carlo and Enrico Scoccimarro and Silvio Gualdi},
  year = {2025},
  eprint = {2512.07885},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.07885},
}

@article{xiong2025extending,
  title = {Extending Integrated Assessment Model scenarios until 2150 using an emulation Framework},
  author = {Weiwei Xiong and Katsumasa Tanaka},
  year = {2025},
  eprint = {2512.06026},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.06026},
}

@article{saynischwagner2025conditional,
  title = {Conditional updates of neural network weights for increased out of training performance},
  author = {Jan Saynisch-Wagner and Saran Rajendran Sari},
  year = {2025},
  eprint = {2512.03653},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.03653},
}

@article{steele2025promising,
  title = {The promising potential of vision language models for the generation of textual weather forecasts},
  author = {Edward C. C. Steele and Dinesh Mane and Emilio Monti and Luis Orus and Rebecca Chantrill-Cheyette and Matthew Couch and Kirstine I. Dale and Simon Eaton and Govindarajan Rangarajan and Amir Majlesi and Steven Ramsdale and Michael Sharpe and Craig Smith and Jonathan Smith and Rebecca Yates and Holly Ellis and Charles Ewen},
  year = {2025},
  eprint = {2512.03623},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.03623},
}

@article{jiang2025ewe,
  title = {EWE: An Agentic Framework for Extreme Weather Analysis},
  author = {Zhe Jiang and Jiong Wang and Xiaoyu Yue and Zijie Guo and Wenlong Zhang and Fenghua Ling and Wanli Ouyang and Lei Bai},
  year = {2025},
  eprint = {2511.21444},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.21444},
}

@article{zhang2025causal,
  title = {Causal Feature Selection for Weather-Driven Residential Load Forecasting},
  author = {Elise Zhang and François Mirallès and Stéphane Dellacherie and Di Wu and Benoit Boulet},
  year = {2025},
  eprint = {2511.20508},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.20508},
}

@article{battini2025weather,
  title = {Weather Maps as Tokens: Transformers for Renewable Energy Forecasting},
  author = {Federico Battini},
  year = {2025},
  eprint = {2511.13935},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.13935},
}

@article{pourtakdoust2025deep,
  title = {A Deep Learning Density Shaping Model Predictive Gust Load Alleviation Control of a Compliant Wing Subjected to Atmospheric Turbulence},
  author = {Seid H. Pourtakdoust and Amir H. Khodabakhsh},
  year = {2025},
  eprint = {2511.13745},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.13745},
}

@article{ahmed2025mmwstmadran,
  title = {MMWSTM-ADRAN+: A Novel Hybrid Deep Learning Architecture for Enhanced Climate Time Series Forecasting and Extreme Event Prediction},
  author = {Shaheen Mohammed Saleh Ahmed and Hakan Hakan Guneyli},
  year = {2025},
  eprint = {2511.13419},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.13419},
}

@article{xu2025synweather,
  title = {SynWeather: Weather Observation Data Synthesis across Multiple Regions and Variables via a General Diffusion Transformer},
  author = {Kaiyi Xu and Junchao Gong and Zhiwang Zhou and Zhangrui Li and Yuandong Pu and Yihao Liu and Ben Fei and Fenghua Ling and Wenlong Zhang and Lei Bai},
  year = {2025},
  eprint = {2511.08291},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.08291},
}

@article{moustakas2025topography,
  title = {Topography, climate, land cover, and biodiversity: Explaining endemic richness and management implications on a Mediterranean island},
  author = {Aristides Moustakas and Ioannis N Vogiatzakis},
  year = {2025},
  eprint = {2511.03242},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.03242},
}

@article{fang2025tipping,
  title = {Tipping Points and Cascading Transitions: Methods, Principles, and Evidences},
  author = {Sheng Fang and Ziyan Wang and Jürgen Kurths and Jingfang Fan},
  year = {2025},
  eprint = {2511.01168},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.01168},
}

@article{zhang2025efficient,
  title = {An Efficient and Generalizable Transfer Learning Method for Weather Condition Detection on Ground Terminals},
  author = {Wenxuan Zhang and Peng Hu},
  year = {2025},
  eprint = {2511.00211},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.00211},
}

@article{borah2025physiologically,
  title = {Physiologically Active Vegetation Reverses Its Cooling Effect in Humid Urban Climates},
  author = {Angana Borah and Adrija Datta and Ashish S. Kumar and Raviraj Dave and Udit Bhatia},
  year = {2025},
  eprint = {2511.00134},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.00134},
}

@article{snaiki2025hierarchical,
  title = {A Hierarchical Deep Learning Model for Predicting Pedestrian-Level Urban Winds},
  author = {Reda Snaiki and Jiachen Lu and Shaopeng Li and Negin Nazarian},
  year = {2025},
  eprint = {2510.27101},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.27101},
}

@article{yao2025predictability,
  title = {Predictability of Storms in an Idealized Climate Revealed by Machine Learning},
  author = {Wuqiushi Yao and Or Hadas and Yohai Kaspi},
  year = {2025},
  eprint = {2510.25633},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.25633},
}

@article{aslanyan2025automated,
  title = {Automated Supervised Identification of Thunderstorm Ground Enhancements (TGEs)},
  author = {Davit Aslanyan},
  year = {2025},
  eprint = {2510.25125},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.25125},
}

@article{shen2025hazardresponsive,
  title = {Hazard-Responsive Digital Twin for Climate-Driven Urban Resilience and Equity},
  author = {Zhenglai Shen and Hongyu Zhou},
  year = {2025},
  eprint = {2510.22941},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.22941},
}

@article{castillo2025geographic,
  title = {Geographic Transferability of Machine Learning Models for Short-Term Airport Fog Forecasting},
  author = {Marcelo Cerda Castillo},
  year = {2025},
  eprint = {2510.21819},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.21819},
}

@article{hong2025climateaware,
  title = {A Climate-Aware Deep Learning Framework for Generalizable Epidemic Forecasting},
  author = {Jinpyo Hong and Rachel E. Baker},
  year = {2025},
  eprint = {2510.19611},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.19611},
}

@article{masciadri2025optical,
  title = {Optical turbulence forecast for ground-based astronomy and free-space optical communication},
  author = {Elena Masciadri and Alessio Turchi and Camilo Weinberger and Marlene De Sepibus and Luca Fini},
  year = {2025},
  eprint = {2510.16845},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.16845},
}

@article{trujillofalcon2025binary,
  title = {From Binary to Bilingual: How the National Weather Service is Using Artificial Intelligence to Develop a Comprehensive Translation Program},
  author = {Joseph E. Trujillo-Falcon and Monica L. Bozeman and Liam E. Llewellyn and Samuel T. Halvorson and Meryl Mizell and Stuti Deshpande and Bob Manning and Chris Rohrbach and Ian Blaylock and Angel Montanez and Todd Fagin},
  year = {2025},
  eprint = {2510.14369},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.14369},
}

@article{sutter2025road,
  title = {Road Surface Condition Detection with Machine Learning using New York State Department of Transportation Camera Images and Weather Forecast Data},
  author = {Carly Sutter and Kara J. Sulia and Nick P. Bassill and Christopher D. Wirz and Christopher D. Thorncroft and Jay C. Rothenberger and Vanessa Przybylo and Mariana G. Cains and Jacob Radford and David Aaron Evans},
  year = {2025},
  eprint = {2510.06440},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.06440},
}

@article{kim2025assessment,
  title = {Assessment of deep learning models integrated with weather and environmental variables for wildfire spread prediction and a case study of the 2023 Maui fires},
  author = {Jiyeon Kim and Yingjie Hu and Negar Elhami-Khorasani and Kai Sun and Ryan Zhenqi Zhou},
  year = {2025},
  eprint = {2509.21327},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.21327},
}

@article{dsouza2025borearl,
  title = {BoreaRL: A Multi-Objective Reinforcement Learning Environment for Climate-Adaptive Boreal Forest Management},
  author = {Kevin Bradley Dsouza and Enoch Ofosu and Daniel Chukwuemeka Amaogu and Jérôme Pigeon and Richard Boudreault and Pooneh Maghoul and Juan Moreno-Cruz and Yuri Leonenko},
  year = {2025},
  eprint = {2509.19846},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.19846},
}

@article{markowitz2025discovering,
  title = {Discovering strategies for coastal resilience with AI-based prediction and optimization},
  author = {Jared Markowitz and Alexander New and Jennifer Sleeman and Chace Ashcraft and Jay Brett and Gary Collins and Stella In and Nathaniel Winstead},
  year = {2025},
  eprint = {2509.19263},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.19263},
}

@article{zhan2025satellitederived,
  title = {Satellite-derived Land Surface Temperatures Strongly Mischaracterise Urban Heat Hazard},
  author = {Wenfeng Zhan and Benjamin Bechtel and Huilin Du and TC Chakraborty and Simone Kotthaus and E. Scott Krayenhoff and Alberto Martilli and Marzie Naserikia and Negin Nazarian and Matthias Roth and Panagiotis Sismanidis and Iain D. Stewart and James Voogt},
  year = {2025},
  eprint = {2509.16568},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.16568},
}

@article{nag2025spatiotemporal,
  title = {Spatio-temporal DeepKriging in PyTorch: A Supplementary Application to Precipitation Data for Interpolation and Probabilistic Forecasting},
  author = {Pratik Nag},
  year = {2025},
  eprint = {2509.12708},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.12708},
}

@article{saikia2025waveletsarimatransformer,
  title = {Wavelet-SARIMA-Transformer: A Hybrid Model for Rainfall Forecasting},
  author = {Junmoni Saikia and Kuldeep Goswami and Sarat C. Kakaty},
  year = {2025},
  eprint = {2509.11903},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.11903},
}

@article{mirfakhar2025hybrid,
  title = {A Hybrid Analytical Framework for Asymmetric Pressure and Boundary Layer Wind Simulation in Nor'easters},
  author = {Seyedeh Fatemeh Mirfakhar and Reda Snaiki and Frank Lombardo},
  year = {2025},
  eprint = {2509.09556},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.09556},
}

@article{abdollahinejad2025aquacast,
  title = {AquaCast: Urban Water Dynamics Forecasting with Precipitation-Informed Multi-Input Transformer},
  author = {Golnoosh Abdollahinejad and Saleh Baghersalimi and Denisa-Andreea Constantinescu and Sergey Shevchik and David Atienza},
  year = {2025},
  eprint = {2509.09458},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.09458},
}

@article{ko2025understanding,
  title = {Understanding Ice Crystal Habit Diversity with Self-Supervised Learning},
  author = {Joseph Ko and Hariprasath Govindarajan and Fredrik Lindsten and Vanessa Przybylo and Kara Sulia and Marcus van Lier-Walqui and Kara Lamb},
  year = {2025},
  eprint = {2509.07688},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.07688},
}

@article{khan2025harnessing,
  title = {Harnessing IoT and Generative AI for Weather-Adaptive Learning in Climate Resilience Education},
  author = {Imran S. A. Khan and Emmanuel G. Blanchard and Sébastien George},
  year = {2025},
  eprint = {2508.21666},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2508.21666},
}

@article{ravi2025citizen,
  title = {Citizen Centered Climate Intelligence: Operationalizing Open Tree Data for Urban Cooling and Eco-Routing in Indian Cities},
  author = {Kaushik Ravi and Andreas Brück},
  year = {2025},
  eprint = {2508.17648},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2508.17648},
}

@article{liu2025rmfat,
  title = {RMFAT: Recurrent Multi-scale Feature Atmospheric Turbulence Mitigator},
  author = {Zhiming Liu and Nantheera Anantrasirichai},
  year = {2025},
  eprint = {2508.11409},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2508.11409},
}

@article{skakala2025estimating,
  title = {Estimating carbon pools in the European Shelf sea environment: replacing reanalysis by model-informed machine learning?},
  author = {Jozef Skakala},
  year = {2025},
  eprint = {2508.10178},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2508.10178},
}

@article{ahmed2025weatherdriven,
  title = {Weather-Driven Agricultural Decision-Making Using Digital Twins Under Imperfect Conditions},
  author = {Tamim Ahmed and Monowar Hasan},
  year = {2025},
  eprint = {2508.08326},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2508.08326},
}

@article{nagashima2025deep,
  title = {Deep Space Weather Model: Long-Range Solar Flare Prediction from Multi-Wavelength Images},
  author = {Shunya Nagashima and Komei Sugiura},
  year = {2025},
  eprint = {2508.07847},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2508.07847},
}

@article{chan2025historical,
  title = {A historical record of four black rainstorm episodes in Hong Kong, China in July to August 2025},
  author = {P. W. Chan and Y. T. Kwok},
  year = {2025},
  eprint = {2508.07600},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2508.07600},
}

@article{ganji2025leveraging,
  title = {Leveraging GNN to Enhance MEF Method in Predicting ENSO},
  author = {Saghar Ganji and Ahmad Reza Labibzadeh and Alireza Hassani and Mohammad Naisipour},
  year = {2025},
  eprint = {2508.07410},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2508.07410},
}

@article{hasan2025vita,
  title = {VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting},
  author = {Adib Hasan and Mardavij Roozbehani and Munther Dahleh},
  year = {2025},
  eprint = {2508.03589},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2508.03589},
}

@article{kishikawa2025conditional,
  title = {Conditional Diffusion Models for Global Precipitation Map Inpainting},
  author = {Daiko Kishikawa and Yuka Muto and Shunji Kotsuki},
  year = {2025},
  eprint = {2507.20478},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.20478},
}

@article{beronvera2025discovering,
  title = {Discovering the dynamics of \emph{Sargassum} rafts' centers of mass},
  author = {Francisco J. Beron-Vera and Gage Bonner},
  year = {2025},
  eprint = {2507.18771},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.18771},
}

@article{foxabbott2025explaining,
  title = {Explaining Surface Layer Theory Departures in Marine Flux Profiles with Data-Driven Discovery},
  author = {Jack Foxabbott and Leo Mckee-Reid and Andrew Cusick and Robbie McCorkell and Jugal Patel and Jamie Rumbelow and Jessica Rumbelow and Zohreh Shams and Arush Tagade and Patrick Hawbecker and Sue Ellen Haupt},
  year = {2025},
  eprint = {2507.06425},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.06425},
}

@article{tschan2025interpretable,
  title = {Interpretable Machine Learning for Urban Heat Mitigation: Attribution and Weighting of Multi-Scale Drivers},
  author = {David Tschan and Zhi Wang and Dominik Strebel and Jan Carmeliet and Yongling Zhao},
  year = {2025},
  eprint = {2507.04802},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.04802},
}

@article{elkayam2025predictive,
  title = {Predictive Modeling of Effluent Temperature in SAT Systems Using Ambient Meteorological Data: Implications for Infiltration Management},
  author = {Roy Elkayam},
  year = {2025},
  eprint = {2507.04050},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.04050},
}

@article{liu2025multilabel,
  title = {Multi-Label Classification Framework for Hurricane Damage Assessment},
  author = {Zhangding Liu and Neda Mohammadi and John E. Taylor},
  year = {2025},
  eprint = {2507.02265},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.02265},
}

@article{biswas2025atmospheric,
  title = {Atmospheric model-trained machine learning selection and classification of ultracool TY dwarfs},
  author = {Ankit Biswas},
  year = {2025},
  eprint = {2507.00957},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.00957},
}

@article{mourning2025airview,
  title = {AIR-VIEW: The Aviation Image Repository for Visibility Estimation of Weather, A Dataset and Benchmark},
  author = {Chad Mourning and Zhewei Wang and Justin Murray},
  year = {2025},
  eprint = {2506.20939},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2506.20939},
}

@article{sutar2025spatiotemporal,
  title = {Spatiotemporal deep learning models for detection of rapid intensification in cyclones},
  author = {Vamshika Sutar and Amandeep Singh and Rohitash Chandra},
  year = {2025},
  eprint = {2506.08397},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2506.08397},
}

@article{pichon2025deep,
  title = {Deep learning methods for modeling infrasound transmission loss in the middle atmosphere},
  author = {Alexis Le Pichon and Alice Janela Cameijo and Samir Aknine and Youcef Sklab and Souhila Arib and Quentin Brissaud and Sven Peter Naesholm},
  year = {2025},
  eprint = {2506.06351},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2506.06351},
}

@article{cardoso2025predictive,
  title = {Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data},
  author = {Gabriel V Cardoso and Mike Pereira},
  year = {2025},
  eprint = {2505.24556},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.24556},
}

@article{xiao2025growerintheloop,
  title = {Grower-in-the-Loop Interactive Reinforcement Learning for Greenhouse Climate Control},
  author = {Maxiu Xiao and Jianglin Lan and Jingxin Yu and Weihong Ma and Qiuju Xie and Congcong Sun},
  year = {2025},
  eprint = {2505.23355},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.23355},
}

@article{utz2025climate,
  title = {Climate Implications of Diffusion-based Generative Visual AI Systems and their Mass Adoption},
  author = {Vanessa Utz and Steve DiPaola},
  year = {2025},
  eprint = {2505.18892},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.18892},
}

@article{chen2025seasonindependent,
  title = {Season-Independent PV Disaggregation Using Multi-Scale Net Load Temporal Feature Extraction and Weather Factor Fusion},
  author = {Xiaolu Chen and Chenghao Huang and Yanru Zhang and Hao Wang},
  year = {2025},
  eprint = {2505.18747},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.18747},
}

@article{wessinger2025deep,
  title = {A Deep Learning Framework for Two-Dimensional, Multi-Frequency Propagation Factor Estimation},
  author = {Sarah E. Wessinger and Leslie N. Smith and Jacob Gull and Jonathan Gehman and Zachary Beever and Andrew J. Kammerer},
  year = {2025},
  eprint = {2505.15802},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.15802},
}

@article{lin2025controllable,
  title = {Controllable Weather Synthesis and Removal with Video Diffusion Models},
  author = {Chih-Hao Lin and Zian Wang and Ruofan Liang and Yuxuan Zhang and Sanja Fidler and Shenlong Wang and Zan Gojcic},
  year = {2025},
  eprint = {2505.00704},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.00704},
}

@article{thanh2025enhancing,
  title = {Enhancing Tropical Cyclone Path Forecasting with an Improved Transformer Network},
  author = {Nguyen Van Thanh and Nguyen Dang Huynh and Nguyen Ngoc Tan and Nguyen Thai Minh and Nguyen Nam Hoang},
  year = {2025},
  eprint = {2505.00495},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.00495},
}

@article{asghar2025validation,
  title = {Validation of a 24-hour-ahead Prediction model for a Residential Electrical Load under diverse climate},
  author = {Ehtisham Asghar and Martin Hill and Ibrahim Sengor and Conor Lynch and Phan Quang An},
  year = {2025},
  eprint = {2505.00348},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.00348},
}

@article{varshney2025climaempact,
  title = {ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics},
  author = {Deeksha Varshney and Keane Ong and Rui Mao and Erik Cambria and Gianmarco Mengaldo},
  year = {2025},
  eprint = {2504.19066},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.19066},
}

@article{amini2025posthurricane,
  title = {Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models},
  author = {Kooshan Amini and Yuhao Liu and Jamie Ellen Padgett and Guha Balakrishnan and Ashok Veeraraghavan},
  year = {2025},
  eprint = {2504.12542},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.12542},
}

@article{gharatappeh2025weatheraware,
  title = {Weather-Aware Object Detection Transformer for Domain Adaptation},
  author = {Soheil Gharatappeh and Salimeh Sekeh and Vikas Dhiman},
  year = {2025},
  eprint = {2504.10877},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.10877},
}

@article{chawla2025physics,
  title = {A physics informed neural network approach to simulating ice dynamics governed by the shallow ice approximation},
  author = {Kapil Chawla and William Holmes},
  year = {2025},
  eprint = {2504.08136},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.08136},
}

@article{tam2025winter,
  title = {From Winter Storm Thermodynamics to Wind Gust Extremes: Discovering Interpretable Equations from Data},
  author = {Frederick Iat-Hin Tam and Fabien Augsburger and Tom Beucler},
  year = {2025},
  eprint = {2504.07905},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.07905},
}

@article{heng2025gradient,
  title = {The Gradient of Mean Molecular Weight Across the Radius Valley},
  author = {Kevin Heng and James E. Owen and Meng Tian},
  year = {2025},
  eprint = {2504.02499},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.02499},
}

@article{haghighi2025deep,
  title = {Deep learning-based identification of precipitation clouds from all-sky camera data for observatory safety},
  author = {Mohammad H. Zhoolideh Haghighi and Alireza Ghasrimanesh and Habib Khosroshahi},
  year = {2025},
  eprint = {2503.18670},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2503.18670},
}

@article{damiano2025improving,
  title = {Improving the quasi-biennial oscillation via a surrogate-accelerated multi-objective optimization},
  author = {Luis Damiano and Walter M. Hannah and Chih-Chieh Chen and James J. Benedict and Khachik Sargsyan and Bert Debusschere and Michael S. Eldred},
  year = {2025},
  eprint = {2503.13498},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2503.13498},
}

@article{taveekitworachai2025typhoon,
  title = {Typhoon T1: An Open Thai Reasoning Model},
  author = {Pittawat Taveekitworachai and Potsawee Manakul and Kasima Tharnpipitchai and Kunat Pipatanakul},
  year = {2025},
  eprint = {2502.09042},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2502.09042},
}

@article{schuler2025seasonal,
  title = {Seasonal Station-Keeping of Short Duration High Altitude Balloons using Deep Reinforcement Learning},
  author = {Tristan K. Schuler and Chinthan Prasad and Georgiy Kiselev and Donald Sofge},
  year = {2025},
  eprint = {2502.05014},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2502.05014},
}

@article{jahan2025uncertainty,
  title = {Uncertainty Quantification of Wind Gust Predictions in the Northeast United States: An Evidential Neural Network and Explainable Artificial Intelligence Approach},
  author = {Israt Jahan and John S. Schreck and David John Gagne and Charlie Becker and Marina Astitha},
  year = {2025},
  eprint = {2502.00300},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2502.00300},
}

@article{jinno2025longterm,
  title = {Long-term prediction of El Niño-Southern Oscillation using reservoir computing with data-driven realtime filter},
  author = {Takuya Jinno and Takahito Mitsui and Kengo Nakai and Yoshitaka Saiki and Tsuyoshi Yoneda},
  year = {2025},
  eprint = {2501.17781},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2501.17781},
}

@article{li2025rainer,
  title = {RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction},
  author = {Zhenqi Li and Junhao Zhong and Hewei Wang and Jinfeng Xu and Yijie Li and Jinjiang You and Jiayi Zhang and Runzhi Wu and Soumyabrata Dev},
  year = {2025},
  eprint = {2501.16900},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2501.16900},
}

@article{tsoi2025generative,
  title = {Using Generative Models to Produce Realistic Populations of UK Windstorms},
  author = {Yee Chun Tsoi and Kieran M. R. Hunt and Len Shaffrey and Atta Badii and Richard Dixon and Ludovico Nicotina},
  year = {2025},
  eprint = {2501.16110},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2501.16110},
}

@article{fu2025learning,
  title = {Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis},
  author = {Minghao Fu and Biwei Huang and Zijian Li and Yujia Zheng and Ignavier Ng and Guangyi Chen and Yingyao Hu and Kun Zhang},
  year = {2025},
  eprint = {2501.12500},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2501.12500},
}

@article{manteiga2025disentangling,
  title = {Disentangling stellar atmospheric parameters in astronomical spectra using Generative Adversarial Neural Networks},
  author = {Minia Manteiga and Raúl Santoveña and Marco A. Álvarez and Carlos Dafonte and Manuel G. Penedo and Silvana Navarro and Luis Corral},
  year = {2025},
  eprint = {2501.11762},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2501.11762},
}

@article{minor2025learning,
  title = {Learning Physically Interpretable Atmospheric Models from Data with WSINDy},
  author = {Seth Minor and Daniel A. Messenger and Vanja Dukic and David M. Bortz},
  year = {2025},
  eprint = {2501.00738},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2501.00738},
}

@article{pipatanakul2024typhoon,
  title = {Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models},
  author = {Kunat Pipatanakul and Potsawee Manakul and Natapong Nitarach and Warit Sirichotedumrong and Surapon Nonesung and Teetouch Jaknamon and Parinthapat Pengpun and Pittawat Taveekitworachai and Adisai Na-Thalang and Sittipong Sripaisarnmongkol and Krisanapong Jirayoot and Kasima Tharnpipitchai},
  year = {2024},
  eprint = {2412.13702},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2412.13702},
}

@article{eshraghi2024adopting,
  title = {Adopting Explainable-AI to investigate the impact of urban morphology design on energy and environmental performance in dry-arid climates},
  author = {Pegah Eshraghi and Riccardo Talami and Arman Nikkhah Dehnavi and Maedeh Mirdamadi and Zahra-Sadat Zomorodian},
  year = {2024},
  eprint = {2412.12183},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2412.12183},
}

@article{rochas2024contextual,
  title = {Contextual Data Integration for Bike-sharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditions},
  author = {Romain Rochas and Angelo Furno and Nour-Eddin El Faouzi},
  year = {2024},
  eprint = {2412.03307},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2412.03307},
}

@article{tseng2024distribution,
  title = {Distribution of plastics of various sizes and densities in the global ocean from a 3D Eulerian model},
  author = {Zih-En Tseng and Yue Wu and Dimitris Menemenlis and Guangyao Wang and Chris Ruf and Yulin Pan},
  year = {2024},
  eprint = {2411.14335},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2411.14335},
}

@article{bayindir2024lagrangian,
  title = {Lagrangian Drifter Path Identification and Prediction: SINDy vs Neural ODE},
  author = {Cihan Bayindir and Fatih Ozaydin and Azmi Ali Altintas and Tayyibe Eristi and Ali Riza Alan},
  year = {2024},
  eprint = {2411.04350},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2411.04350},
}

@article{li2024stochastic,
  title = {Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion Models},
  author = {Tianyi Li and Luca Biferale and Fabio Bonaccorso and Michele Buzzicotti and Luca Centurioni},
  year = {2024},
  eprint = {2410.23971},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2410.23971},
}

@article{ginio2024dataset,
  title = {Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear array},
  author = {Noam Ginio and Michael Lindenbaum and Barak Fishbain and Dan Liberzon},
  year = {2024},
  eprint = {2410.22849},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2410.22849},
}

@article{fotiadis2024stochastic,
  title = {Stochastic Flow Matching for Resolving Small-Scale Physics},
  author = {Stathi Fotiadis and Noah Brenowitz and Tomas Geffner and Yair Cohen and Michael Pritchard and Arash Vahdat and Morteza Mardani},
  year = {2024},
  eprint = {2410.19814},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2410.19814},
}

@article{rybchuk2024ensemblebased,
  title = {Ensemble-based, large-eddy reconstruction of wind turbine inflow in a near-stationary atmospheric boundary layer through generative artificial intelligence},
  author = {Alex Rybchuk and Luis A. Martínez-Tossas and Stefano Letizia and Nicholas Hamilton and Andy Scholbrock and Emina Maric and Daniel R. Houck and Thomas G. Herges and Nathaniel B. de Velder and Paula Doubrawa},
  year = {2024},
  eprint = {2410.14024},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2410.14024},
}

@article{naeini2024advancing,
  title = {Advancing Spatio-temporal Storm Surge Prediction with Hierarchical Deep Neural Networks},
  author = {Saeed Saviz Naeini and Reda Snaiki and Teng Wu},
  year = {2024},
  eprint = {2410.12823},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2410.12823},
}

@article{qian2024weatherdg,
  title = {WeatherDG: LLM-assisted Diffusion Model for Procedural Weather Generation in Domain-Generalized Semantic Segmentation},
  author = {Chenghao Qian and Yuhu Guo and Yuhong Mo and Wenjing Li},
  year = {2024},
  eprint = {2410.12075},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2410.12075},
}

@article{solatorio2024double,
  title = {Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakers},
  author = {Aivin V. Solatorio and Gabriel Stefanini Vicente and Holly Krambeck and Olivier Dupriez},
  year = {2024},
  eprint = {2410.10665},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2410.10665},
}

@article{agrawal2024visualanalytical,
  title = {A Visual-Analytical Approach for Automatic Detection of Cyclonic Events in Satellite Observations},
  author = {Akash Agrawal and Mayesh Mohapatra and Abhinav Raja and Paritosh Tiwari and Vishwajeet Pattanaik and Neeru Jaiswal and Arpit Agarwal and Punit Rathore},
  year = {2024},
  eprint = {2410.08218},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2410.08218},
}

@article{dong2024uflux,
  title = {UFLUX v2.0: A Process-Informed Machine Learning Framework for Efficient and Explainable Modelling of Terrestrial Carbon Uptake},
  author = {Wenquan Dong and Songyan Zhu and Jian Xu and Casey M. Ryan and Man Chen and Jingya Zeng and Hao Yu and Congfeng Cao and Jiancheng Shi},
  year = {2024},
  eprint = {2410.03951},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2410.03951},
}

@article{burchard2024multimodal,
  title = {Multi-modal Atmospheric Sensing to Augment Wearable IMU-Based Hand Washing Detection},
  author = {Robin Burchard and Kristof Van Laerhoven},
  year = {2024},
  eprint = {2410.03549},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2410.03549},
}

@article{lovo2024tackling,
  title = {Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves},
  author = {Alessandro Lovo and Amaury Lancelin and Corentin Herbert and Freddy Bouchet},
  year = {2024},
  eprint = {2410.00984},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2410.00984},
}

@article{li2024cllmate,
  title = {CLLMate: A Multimodal Benchmark for Weather and Climate Events Forecasting},
  author = {Haobo Li and Zhaowei Wang and Jiachen Wang and Yueya Wang and Alexis Kai Hon Lau and Huamin Qu},
  year = {2024},
  eprint = {2409.19058},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.19058},
}

@article{sharma2024large,
  title = {Large Language Model Predicts Above Normal All India Summer Monsoon Rainfall in 2024},
  author = {Ujjawal Sharma and Madhav Biyani and Akhil Dev Suresh and Debi Prasad Bhuyan and Saroj Kanta Mishra and Tanmoy Chakraborty},
  year = {2024},
  eprint = {2409.16799},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.16799},
}

@article{guilloteau2024generative,
  title = {A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations},
  author = {Clement Guilloteau and Gavin Kerrigan and Kai Nelson and Giosue Migliorini and Padhraic Smyth and Runze Li and Efi Foufoula-Georgiou},
  year = {2024},
  eprint = {2409.16319},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.16319},
}

@article{panboonyuen2024seavit,
  title = {SEA-ViT: Sea Surface Currents Forecasting Using Vision Transformer and GRU-Based Spatio-Temporal Covariance Modeling},
  author = {Teerapong Panboonyuen},
  year = {2024},
  eprint = {2409.16313},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.16313},
}

@article{hill2024deep,
  title = {Deep Learning Techniques for Atmospheric Turbulence Removal: A Review},
  author = {Paul Hill and Nantheera Anantrasirichai and Alin Achim and David Bull},
  year = {2024},
  eprint = {2409.14587},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.14587},
}

@article{liu2024eric,
  title = {ERIC: Estimating Rainfall with Commodity Doorbell Camera for Precision Residential Irrigation},
  author = {Tian Liu and Liuyi Jin and Radu Stoleru and Amran Haroon and Charles Swanson and Kexin Feng},
  year = {2024},
  eprint = {2409.13104},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.13104},
}

@article{takahashi2024gpcm,
  title = {GPC/m: Global Precipitation Climatology by Machine Learning; Quasi-global, Daily, and One Degree Spatial Resolution},
  author = {Hiroshi G. Takahashi},
  year = {2024},
  eprint = {2409.09639},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.09639},
}

@article{zhang2024integration,
  title = {Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics},
  author = {Wenqing Zhang and Junming Huang and Ruotong Wang and Changsong Wei and Wenqian Huang and Yuxin Qiao},
  year = {2024},
  eprint = {2409.08530},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.08530},
}

@article{zhang2024weatherinformed,
  title = {Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems},
  author = {Hanyu Zhang and Reza Zandehshahvar and Mathieu Tanneau and Pascal Van Hentenryck},
  year = {2024},
  eprint = {2409.07637},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.07637},
}

@article{molina2024generative,
  title = {Using Generative Artificial Intelligence Creatively in the Classroom and Research: Examples and Lessons Learned},
  author = {Maria J. Molina and Amy McGovern and Jhayron S. Perez-Carrasquilla and Xiaowen Li and Robin L. Tanamachi},
  year = {2024},
  eprint = {2409.05176},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.05176},
}

@article{abdelli2024weatheradaptive,
  title = {Weather-Adaptive Multi-Step Forecasting of State of Polarization Changes in Aerial Fibers Using Wavelet Neural Networks},
  author = {Khouloud Abdelli and Matteo Lonardi and Jurgen Gripp and Samuel Olsson Fabien Boitier and Patricia Layec},
  year = {2024},
  eprint = {2409.03663},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.03663},
}

@article{kinney2024rapid,
  title = {Rapid and accurate mosquito abundance forecasting with Aedes-AI neural networks},
  author = {Adrienne C. Kinney and Roberto Barrera and Joceline Lega},
  year = {2024},
  eprint = {2408.16152},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.16152},
}

@article{marcelja2024forecasting,
  title = {Forecasting seasonal rainfall in SE Australia using Empirical Orthogonal Functions and Neural Networks},
  author = {Stjepan Marcelja},
  year = {2024},
  eprint = {2408.10550},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.10550},
}

@article{fu2024integration,
  title = {On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting},
  author = {Yisong Fu and Fei Wang and Zezhi Shao and Boyu Diao and Lin Wu and Zhulin An and Chengqing Yu and Yujie Li and Yongjun Xu},
  year = {2024},
  eprint = {2408.09695},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.09695},
}

@article{ghahfarokhi2024comparative,
  title = {A Comparative Study of Convolutional and Recurrent Neural Networks for Storm Surge Prediction in Tampa Bay},
  author = {Mandana Farhang Ghahfarokhi and Seyed Hossein Sonbolestan and Mahta Zamanizadeh},
  year = {2024},
  eprint = {2408.05797},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.05797},
}

@article{haque2024detection,
  title = {Detection of Animal Movement from Weather Radar using Self-Supervised Learning},
  author = {Mubin Ul Haque and Joel Janek Dabrowski and Rebecca M. Rogers and Hazel Parry},
  year = {2024},
  eprint = {2408.04424},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.04424},
}

@article{fu2024generating,
  title = {Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection},
  author = {Dongqi Fu and Yada Zhu and Hanghang Tong and Kommy Weldemariam and Onkar Bhardwaj and Jingrui He},
  year = {2024},
  eprint = {2408.04254},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.04254},
}

@article{pierzyna2024otclim,
  title = {OTCliM: generating a near-surface climatology of optical turbulence strength ($C_n^2$) using gradient boosting},
  author = {Maximilian Pierzyna and Sukanta Basu and Rudolf Saathof},
  year = {2024},
  eprint = {2408.00520},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.00520},
}

@article{yang2024shortterm,
  title = {Short-Term Photovoltaic Forecasting Model for Qualifying Uncertainty during Hazy Weather},
  author = {Xuan Yang and Yunxuan Dong and Lina Yang and Thomas Wu},
  year = {2024},
  eprint = {2407.19663},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2407.19663},
}

@article{schulz2024nonlinear,
  title = {Nonlinear spectral analysis extracts harmonics from land-atmosphere fluxes},
  author = {Leonard Schulz and Jürgen Vollmer and Miguel D. Mahecha and Karin Mora},
  year = {2024},
  eprint = {2407.19237},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2407.19237},
}

@article{zhang2024opportunities,
  title = {On the Opportunities of (Re)-Exploring Atmospheric Science by Foundation Models: A Case Study},
  author = {Lujia Zhang and Hanzhe Cui and Yurong Song and Chenyue Li and Binhang Yuan and Mengqian Lu},
  year = {2024},
  eprint = {2407.17842},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2407.17842},
}

@article{valva2024qbo,
  title = {The QBO, the annual cycle, and their interactions: Isolating periodic modes with Koopman analysis},
  author = {Claire Valva and Edwin P. Gerber},
  year = {2024},
  eprint = {2407.17422},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2407.17422},
}

@article{bulte2024modeling,
  title = {Modeling Spatial Extremal Dependence of Precipitation Using Distributional Neural Networks},
  author = {Christopher Bülte and Lisa Leimenstoll and Melanie Schienle},
  year = {2024},
  eprint = {2407.08668},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2407.08668},
}