@article{clark2026regional,
  title = {From Regional to Global: Transfer Learning for Atmospheric Transport Emulators},
  author = {Jeff Clark and Elena Fillola and Nawid Keshtmand and Raul Santos-Rodriguez and Matthew Rigby},
  year = {2026},
  eprint = {2609.23838},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.23838},
}

@article{gauld2026quantifying,
  title = {Quantifying AI data center nitrogen oxide (NO$_x$) emissions from space},
  author = {Kevin D. Gauld and Daniel J. Varon and Nicholas Balasus and Daniel H. Cusworth},
  year = {2026},
  eprint = {2608.22153},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.22153},
}

@article{ghirri2026europes,
  title = {Europe's Climate Ambition Under Scrutiny: Evidence from Deep Learning Emission Projections},
  author = {Jacopo Ghirri and Carlos Rodriguez-Pardo and Lara Aleluia Reis and Massimo Tavoni},
  year = {2026},
  eprint = {2608.18690},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.18690},
}

@article{weng2026observational,
  title = {Observational Evidence Revises Presumed Large Ozone Worsening from Nitrogen Oxides Cuts},
  author = {Xiang Weng and Xiao Lu and Jiawei Li and Grant Forster and Jessica Chapman and Beckie George and Yunbo Lu and Guowen He and Haofan Wang and Jingcheng Lai and Peer Nowack},
  year = {2026},
  eprint = {2608.10399},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.10399},
}

@article{hu2026mechanistic,
  title = {Toward Mechanistic Interpretability of an AI Foundation Model Fine-Tuned for Atmospheric Chemistry},
  author = {Jason Y. Hu and Ivan Higuera-Mendieta and Patrick Obin Sturm and Makoto M. Kelp},
  year = {2026},
  eprint = {2607.20778},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.20778},
}

@article{he2026omnipmnet,
  title = {OmniPMNet: Bridging discrete and gridded PM10 forecasts via omni-query neural processes},
  author = {Shuangshuang He and Shuo Wang},
  year = {2026},
  eprint = {2607.11896},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.11896},
}

@article{saleh2026aeromeld,
  title = {AeroMELD: A Linear Embedding of Aerosol Populations for Diagnostics and Latent Dynamics},
  author = {Ehsan Saleh and Saba Ghaffari and Wenhan Tang and Jeffrey H. Curtis and Lekha Patel and Peter A. Bosler and Nicole Riemer and Matthew West},
  year = {2026},
  eprint = {2607.11073},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.11073},
}

@article{wang2026air,
  title = {Air Quality Downscaling with Station-Guided Pseudo-Supervision},
  author = {Guorun Wang and Simone Foti and Andreas D. Demou and Leonidas Kotoulas and Theodoros Christoudias and Alexandros Koliousis and Mihalis Nicolaou and Stefanos Zafeiriou},
  year = {2026},
  eprint = {2607.05292},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.05292},
}

@article{fabisch2026deep,
  title = {Deep Reinforcement Learning for Spacecraft Attitude Control During Atmospheric Re-Entry},
  author = {Alexander Fabisch and Melvin Laux and Mariela De Lucas Álvarez and Edoardo Caroselli and Julian Theis},
  year = {2026},
  eprint = {2606.31291},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.31291},
}

@article{callesaldarriaga2026amortized,
  title = {Amortized Probabilistic Retrieval of Atmospheric CO2 from OCO-2 Spectra Using Deep Learning with Laplace Approximations and Normalizing Flows},
  author = {Alejandro Calle-Saldarriaga and Felix Jimenez and Jack Grosskreuz and Jiazheng Wang and Jonathan Hobbs and Matthias Katzfuss},
  year = {2026},
  eprint = {2606.17413},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.17413},
}

@article{ma2026deep,
  title = {Deep learning reveals a stronger fossil fuel influence than biomass burning in shaping remote tropospheric ozone},
  author = {Chaoqun Ma and Hang Su and Yafang Cheng},
  year = {2026},
  eprint = {2606.09793},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.09793},
}

@article{zhao2026tianjienviron,
  title = {TianJi-Environ: An Autonomous AI Scientist for Atmospheric Environmental Research},
  author = {Haoluo Zhao and Hongchun Zhang and Nan Li and Jing-Jia Luo and Kaikai Zhang and Mengyang Yu and Nan Chen and Tao Song and Fan Meng},
  year = {2026},
  eprint = {2606.07697},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.07697},
}

@article{rodriguez2026emergent,
  title = {Emergent conservation in atmospheric chemical mechanisms},
  author = {Beatriz Lucia G. Rodriguez and Patrick Obin Sturm and Daniel Getter and Sam J. Silva},
  year = {2026},
  eprint = {2605.27271},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.27271},
}

@article{kurchaba2026explainable,
  title = {Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening},
  author = {Solomiia Kurchaba and Joannes D. Maasakkers and Berend J. Schuit and Ilse Aben},
  year = {2026},
  eprint = {2605.27236},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.27236},
}

@article{perezcarrasco2026plume,
  title = {Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing},
  author = {Manuel Pérez-Carrasco and Maya Nasr and Zhan Zhang and Apisada Chulakadabba and Javier Roger and Raia Ottenheimer and Sébastien Roche and Maryann Sargent and Chris Chan Miller and Daniel Varon and Jack Warren and Luis Guanter and Kang Sun and Jonathan Franklin and Jia Chen and Cecilia Garraffo and Xiong Liu and Ritesh Gautam and Steven Wofsy},
  year = {2026},
  eprint = {2605.24273},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.24273},
}

@article{james2026improving,
  title = {Improving Ensemble CAPE Forecasts with a Diffusion Model Incorporating Aerosol Information},
  author = {Zachary James and Joseph Guinness and Arthur DeGaetano},
  year = {2026},
  eprint = {2605.24009},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.24009},
}

@article{tolentino2026learning,
  title = {Learning from Translation: Seasonal Errors and Feature Importance of the ERA5 Turbulence Predictions},
  author = {Arial Tolentino and Markus Petters and Luat T. Vuong},
  year = {2026},
  eprint = {2605.07981},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.07981},
}

@article{morrow2026enabling,
  title = {Enabling Real-Time Training of a Wildfire-to-Smoke Map with Multilinear Operators},
  author = {Zachary Morrow and Joseph Crockett and John D. Jakeman and Dan J. Krofcheck},
  year = {2026},
  eprint = {2605.04164},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.04164},
}

@article{hernandez2026aerosol,
  title = {Aerosol memory in stratocumulus clouds leads to noise-induced patterns and non-ergodic sampling},
  author = {Benjamin Hernandez and Franziska Glassmeier},
  year = {2026},
  eprint = {2605.04002},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.04002},
}

@article{ouattara2026stylebased,
  title = {Style-Based Neural Architectures for Real-Time Weather Classification},
  author = {Hamed Ouattara and Pascal Houssam Salmane and Pierre Duthon and Frédéric Bernardin and Omar Ait Aider},
  year = {2026},
  eprint = {2604.18251},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.18251},
}

@article{sheikh2026gca,
  title = {GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support},
  author = {Muhammad Umer Sheikh and Khawar Shehzad and Salman Khan and Fahad Shahbaz Khan and Muhammad Haris Khan},
  year = {2026},
  eprint = {2604.12306},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.12306},
}

@article{batchu2026global,
  title = {Global monitoring of methane point sources using deep learning on hyperspectral radiance measurements from EMIT},
  author = {Vishal V. Batchu and Michelangelo Conserva and Alex Wilson and Anna M. Michalak and Varun Gulshan and Philip G. Brodrick and Andrew K. Thorpe and Christopher V. Arsdale},
  year = {2026},
  eprint = {2604.10094},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.10094},
}

@article{dey2026pollutionnet,
  title = {PollutionNet: A Vision Transformer Framework for Climatological Assessment of NO$_2$ and SO$_2$ Using Satellite-Ground Data Fusion},
  author = {Prasanjit Dey and Soumyabrata Dev and Bianca Schoen-Phelan},
  year = {2026},
  eprint = {2604.03311},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.03311},
}

@article{dey2026meteorologydriven,
  title = {Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings},
  author = {Prasanjit Dey and Soumyabrata Dev and Bianca Schoen-Phelan},
  year = {2026},
  eprint = {2603.29974},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.29974},
}

@article{villeroche2026anchoredbranched,
  title = {Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments},
  author = {Armand de Villeroché and Rem-Sophia Mouradi and Vincent Le Guen and Sibo Cheng and Marc Bocquet and Alban Farchi and Patrick Armand and Patrick Massin},
  year = {2026},
  eprint = {2603.25635},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.25635},
}

@article{ding2026diffusionbased,
  title = {Diffusion-based Probabilistic Air Quality Forecasting with Mechanistic Insight},
  author = {Ao Ding and Aoxing Zhang and Tzung-May Fu and Yuanlong Huang and Qianjie Chen and Yuyang Chen and Jiajia Mo and Wei Tao and Wai-Chi Cheng and Lei Zhu and Xin Yang and Guy Brasseur},
  year = {2026},
  eprint = {2603.21131},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.21131},
}

@article{harder2026reconstructing,
  title = {Reconstructing Carbon Monoxide Reanalysis with Machine Learning},
  author = {Paula Harder and Johannes Flemming},
  year = {2026},
  eprint = {2602.15056},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.15056},
}

@article{sengupta2026blackening,
  title = {Blackening Cryosphere: Revealing Hotspot Shifts and HGB-Based Forecasting of Absorbing Aerosol Threats over the Himalayan Frozen Frontiers},
  author = {Abira Sengupta and Ayoti Banerjee and Sarbani Palit and Brendon Woodford},
  year = {2026},
  eprint = {2602.15052},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.15052},
}

@article{fan2025aoddiff,
  title = {AODDiff: Probabilistic Reconstruction of Aerosol Optical Depth via Diffusion-based Bayesian Inference},
  author = {Linhao Fan and Hongqiang Fang and Jingyang Dai and Yong Jiang and Qixing Zhang},
  year = {2025},
  eprint = {2512.24847},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.24847},
}

@article{hou2025calibrating,
  title = {Calibrating Geophysical Predictions under Constrained Probabilistic Distributions},
  author = {Zhewen Hou and Jiajin Sun and Subashree Venkatasubramanian and Peter Jin and Shuolin Li and Tian Zheng},
  year = {2025},
  eprint = {2512.03081},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.03081},
}

@article{irvin2025spatiotemporal,
  title = {Spatiotemporal Pyramid Flow Matching for Climate Emulation},
  author = {Jeremy Andrew Irvin and Jiaqi Han and Zikui Wang and Abdulaziz Alharbi and Yufei Zhao and Nomin-Erdene Bayarsaikhan and Daniele Visioni and Andrew Y. Ng and Duncan Watson-Parris},
  year = {2025},
  eprint = {2512.02268},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.02268},
}

@article{saleh2025reconstructing,
  title = {Reconstructing the Aerosol State from Partial Observations with Generative Modeling},
  author = {E. Saleh and S. Ghaffari and J. H. Curtis and L. Patel and P. A. Bosler and N. Riemer and M. West},
  year = {2025},
  eprint = {2511.14059},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.14059},
}

@article{prajesh2025aidriven,
  title = {AI-Driven Carbon Monitoring: Transformer-Based Reconstruction of Atmospheric CO2 in Canadian Poultry Regions},
  author = {Padmanabhan Jagannathan Prajesh and Kaliaperumal Ragunath and Miriam Gordon and Bruce Rathgeber and Suresh Neethirajan},
  year = {2025},
  eprint = {2510.23663},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.23663},
}

@article{zhang2025navigating,
  title = {Navigating Through Turbulence: Blueprint for the Next Generation of Weather-Climate Scientists},
  author = {Gan Zhang and Zhuo Wang and Kevin A Reed and Lucas M Harris},
  year = {2025},
  eprint = {2510.21123},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.21123},
}

@article{lamb2025discovering,
  title = {Discovering How Ice Crystals Grow Using Neural ODE's and Symbolic Regression},
  author = {Kara D. Lamb and Jerry Y. Harrington and Alfred M. Moyle and Gwenore F. Pokrifka and Benjamin W. Clouser and Volker Ebert and Ottmar Möhler and Harald Saathoff},
  year = {2025},
  eprint = {2510.17935},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.17935},
}

@article{saleh2025generative,
  title = {Generative Modeling of Aerosol State Representations},
  author = {Ehsan Saleh and Saba Ghaffari and Jeffrey H. Curtis and Lekha Patel and Peter A. Bosler and Nicole Riemer and Matthew West},
  year = {2025},
  eprint = {2510.10361},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.10361},
}

@article{pang2025zeeman,
  title = {Zeeman: A Deep Learning Regional Atmospheric Chemistry Transport Model},
  author = {Mijie Pang and Jianbing Jin and Arjo Segers and Hai Xiang Lin and Guoqiang Wang and Hong Liao and Wei Han},
  year = {2025},
  eprint = {2510.06140},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.06140},
}

@article{clark2025uncertainty,
  title = {Uncertainty assessment in satellite-based greenhouse gas emissions estimates using emulated atmospheric transport},
  author = {Jeffrey N. Clark and Elena Fillola and Nawid Keshtmand and Raul Santos-Rodriguez and Matthew Rigby},
  year = {2025},
  eprint = {2510.05751},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.05751},
}

@article{seppalainen2025fast,
  title = {Fast and Interpretable Machine Learning Modelling of Atmospheric Molecular Clusters},
  author = {Lauri Seppäläinen and Jakub Kubečka and Jonas Elm and Kai Puolamäki},
  year = {2025},
  eprint = {2509.11728},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.11728},
}

@article{nwafor2025feedforward,
  title = {A Feed-Forward Artificial Intelligence Pipeline for Sustainable Desalination under Climate Uncertainties: UAE Insights},
  author = {Obumneme Nwafor and Chioma Nwafor and Amro Zakaria and Nkechi Nwankwo},
  year = {2025},
  eprint = {2507.10609},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.10609},
}

@article{liu2025deeplearning,
  title = {A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction},
  author = {Shigan Liu and Guannan Geng and Yanfei Xiang and Hejun Hu and Xiaodong Liu and Xiaomeng Huang and Qiang Zhang},
  year = {2025},
  eprint = {2506.18018},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2506.18018},
}

@article{abdioskouei2025capability,
  title = {Capability demonstration of a JEDI-based system for TEMPO assimilation: system description and evaluation},
  author = {Maryam Abdi-Oskouei and Jérôme Barré},
  year = {2025},
  eprint = {2506.07321},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2506.07321},
}

@article{yao2025effective,
  title = {Effective climate policies for major emission reductions of ozone precursors: Global evidence from two decades},
  author = {Ningning Yao and Huan Xi and Lang Chen and Zhe Song and Jian Li and Yulei Chen and Baocai Guo and Yuanhang Zhang and Tong Zhu and Pengfei Li and Daniel Rosenfeld and John H. Seinfeld and Shaocai Yu},
  year = {2025},
  eprint = {2505.14731},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.14731},
}

@article{zounematkermani2025aidriven,
  title = {An AI-driven framework for the prediction of personalised health response to air pollution},
  author = {Nazanin Zounemat-Kermani and Sadjad Naderi and Claire H. Dilliway and Claire E. Heaney and Shrreya Behll and Boyang Chen and Hisham Abubakar-Waziri and Alexandra E. Porter and Marc Chadeau-Hyam and Fangxin Fang and Ian M. Adcock and Kian Fan Chung and Christopher C. Pain},
  year = {2025},
  eprint = {2505.10556},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.10556},
}

@article{ji2025bixiao,
  title = {BiXiao: An AI-Based Atmospheric Environment Forecasting Model Using Discontinuous Grids},
  author = {Shengxuan Ji and Yawei Qu and Cheng Yuan and Tijian Wang and Bing Liu and Lili Zhu and Huihui Zheng and Zhenfeng Qiu and Pulong Chen},
  year = {2025},
  eprint = {2504.19764},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.19764},
}

@article{keshtmand2025prototypeenhanced,
  title = {Prototype-enhanced prediction in graph neural networks for climate applications},
  author = {Nawid Keshtmand and Elena Fillola and Jeffrey Nicholas Clark and Raul Santos-Rodriguez and Matthew Rigby},
  year = {2025},
  eprint = {2504.17492},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.17492},
}

@article{das2025causal,
  title = {Causal Links Between Anthropogenic Emissions and Air Pollution Dynamics in Delhi},
  author = {Sourish Das and Sudeep Shukla and Alka Yadav and Anirban Chakraborti},
  year = {2025},
  eprint = {2503.18912},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2503.18912},
}

@article{fan2025offline,
  title = {Offline Meteorology-Pollution Coupling Global Air Pollution Forecasting Model with Bilinear Pooling},
  author = {Xu Fan and Yuetan Lin and Bing Gong and Hao Li},
  year = {2025},
  eprint = {2503.18405},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2503.18405},
}

@article{xu2025integrating,
  title = {Integrating mobile and fixed monitoring data for high-resolution PM2.5 mapping using machine learning},
  author = {Rui Xu and Dawen Yao and Yuzhuang Pian and Ruhui Cao and Yixin Fu and Xinru Yang and Ting Gan and Yonghong Liu},
  year = {2025},
  eprint = {2503.12367},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2503.12367},
}

@article{barrett2025agile,
  title = {Agile Climate-Sensor Design and Calibration Algorithms Using Machine Learning: Experiments From Cape Point},
  author = {Travis Barrett and Amit Kumar Mishra},
  year = {2025},
  eprint = {2503.06777},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2503.06777},
}

@article{kheder2025deep,
  title = {Deep Spatio-Temporal Neural Network for Air Quality Reanalysis},
  author = {Ammar Kheder and Benjamin Foreback and Lili Wang and Zhi-Song Liu and Michael Boy},
  year = {2025},
  eprint = {2502.11941},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2502.11941},
}

@article{riechers2025discontinuous,
  title = {Discontinuous stochastic forcing in Greenland ice core data},
  author = {Keno Riechers and Andreas Morr and Klaus Lehnertz and Pedro G. Lind and Niklas Boers and Dirk Witthaut and Leonardo Rydin Gorjão},
  year = {2025},
  eprint = {2502.08460},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2502.08460},
}

@article{fong2025predicting,
  title = {Predicting concentration levels of air pollutants by transfer learning and recurrent neural network},
  author = {Iat Hang Fong and Tengyue Li and Simon Fong and Raymond K. Wong and Antonio J. Tallón-Ballesteros},
  year = {2025},
  eprint = {2502.01654},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2502.01654},
}

@article{deng2025probabilistic,
  title = {Probabilistic Joint Recovery Method for CO$_2$ Plume Monitoring},
  author = {Zijun Deng and Rafael Orozco and Abhinav Prakash Gahlot and Felix J. Herrmann},
  year = {2025},
  eprint = {2501.18761},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2501.18761},
}

@article{hsu2024quantum,
  title = {Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting},
  author = {Yu-Chao Hsu and Nan-Yow Chen and Tai-Yu Li and Po-Heng and Lee and Kuan-Cheng Chen},
  year = {2024},
  eprint = {2412.08851},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2412.08851},
}

@article{gui2024advancing,
  title = {Advancing global aerosol forecasting with artificial intelligence},
  author = {Ke Gui and Xutao Zhang and Huizheng Che and Lei Li and Yu Zheng and Linchang An and Yucong Miao and Hujia Zhao and Oleg Dubovik and Brent Holben and Jun Wang and Pawan Gupta and Elena S. Lind and Carlos Toledano and Hong Wang and Zhili Wang and Yaqiang Wang and Xiaomeng Huang and Kan Dai and Xiangao Xia and Xiaofeng Xu and Xiaoye Zhang},
  year = {2024},
  eprint = {2412.02498},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2412.02498},
}

@article{mishra2024developing,
  title = {Developing Global Aerosol Models based on the Analysis of 30-Year Ground Measurements by AERONET (AEROEX models) and Implication on Satellite based Aerosol Retrievals},
  author = {Manoj K Mishra and Shameela S F and Pradyuman Singh Rathore},
  year = {2024},
  eprint = {2411.15518},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2411.15518},
}

@article{tallarico2024neural,
  title = {Neural and Time-Series Approaches for Pricing Weather Derivatives: Performance and Regime Adaptation Using Satellite Data},
  author = {Marco Hening Tallarico and Pablo Olivares},
  year = {2024},
  eprint = {2411.12013},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2411.12013},
}

@article{dave2024climate,
  title = {Climate AI for Corporate Decarbonization Metrics Extraction},
  author = {Aditya Dave and Mengchen Zhu and Dapeng Hu and Sachin Tiwari},
  year = {2024},
  eprint = {2411.03402},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2411.03402},
}

@article{ebert2024ai,
  title = {AI, Climate, and Regulation: From Data Centers to the AI Act},
  author = {Kai Ebert and Nicolas Alder and Ralf Herbrich and Philipp Hacker},
  year = {2024},
  eprint = {2410.06681},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2410.06681},
}

@article{keisler2024automated,
  title = {Automated Spatio-Temporal Weather Modeling for Load Forecasting},
  author = {Julie Keisler and Margaux Bregere},
  year = {2024},
  eprint = {2409.16326},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.16326},
}

@article{ferracina2024learning,
  title = {Learning to Simulate Aerosol Dynamics with Graph Neural Networks},
  author = {Fabiana Ferracina and Payton Beeler and Mahantesh Halappanavar and Bala Krishnamoorthy and Marco Minutoli and Laura Fierce},
  year = {2024},
  eprint = {2409.13861},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.13861},
}

@article{tsoi2024generative,
  title = {Using Generative Models to Produce Realistic Populations of the United Kingdom Windstorms},
  author = {Etron Yee Chun Tsoi},
  year = {2024},
  eprint = {2409.10696},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.10696},
}

@article{alder2024ai,
  title = {AI, Climate, and Transparency: Operationalizing and Improving the AI Act},
  author = {Nicolas Alder and Kai Ebert and Ralf Herbrich and Philipp Hacker},
  year = {2024},
  eprint = {2409.07471},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.07471},
}

@article{berlinghieri2024hourly,
  title = {Are Hourly PM2.5 Forecasts Sufficiently Accurate to Plan Your Day? Individual Decision Making in the Face of Increasing Wildfire Smoke},
  author = {Renato Berlinghieri and David R. Burt and Paolo Giani and Arlene M. Fiore and Tamara Broderick},
  year = {2024},
  eprint = {2409.05866},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.05866},
}

@article{sturm2024nudge,
  title = {A nudge to the truth: atom conservation as a hard constraint in models of atmospheric composition using an uncertainty-weighted correction},
  author = {Patrick Obin Sturm and Sam J. Silva},
  year = {2024},
  eprint = {2408.16109},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.16109},
}

@article{tiemann2024machine,
  title = {Machine Learning for Methane Detection and Quantification from Space - A survey},
  author = {Enno Tiemann and Shanyu Zhou and Alexander Kläser and Konrad Heidler and Rochelle Schneider and Xiao Xiang Zhu},
  year = {2024},
  eprint = {2408.15122},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.15122},
}

@article{shah2024predicting,
  title = {Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features},
  author = {Arjun Shah and Varun Viswanath and Kashish Gandhi and Nilesh Madhukar Patil},
  year = {2024},
  eprint = {2408.12476},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.12476},
}

@article{liu2024neural,
  title = {Neural Network Emulator for Atmospheric Chemical ODE},
  author = {Zhi-Song Liu and Petri Clusius and Michael Boy},
  year = {2024},
  eprint = {2408.01829},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.01829},
}

@article{li2024reconstructing,
  title = {Reconstructing Global Daily CO2 Emissions via Machine Learning},
  author = {Tao Li and Lixing Wang and Zihan Qiu and Philippe Ciais and Taochun Sun and Matthew W. Jones and Robbie M. Andrew and Glen P. Peters and Piyu ke and Xiaoting Huang and Robert B. Jackson and Zhu Liu},
  year = {2024},
  eprint = {2407.20057},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2407.20057},
}

@article{mokhtari2024navigating,
  title = {Navigating the Smog: A Cooperative Multi-Agent RL for Accurate Air Pollution Mapping through Data Assimilation},
  author = {Ichrak Mokhtari and Walid Bechkit and Mohamed Sami Assenine and Hervé Rivano},
  year = {2024},
  eprint = {2407.12539},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2407.12539},
}