@article{pennino2026vardasingle10,
  title = {Varda-single-1.0: deterministic data-driven weather forecasting at 1 km resolution over Switzerland's complex topography},
  author = {Alberto Pennino and Francesco Zanetta and Michele Cattaneo and Claire Merker and Radi Radev and Jonas Bhend and Louis Frey and Hugues de Laroussilhe and Ophélia Miralles and Carlos Osuna and Daniele Nerini and Andreas Pauling and Daniel Hupp and Ulrich Hamann and Mary McGlohon and Marti Bosch and Luca Lanzilao and Marco Arpagaus and Lukas Jansing and Daniel Leuenberger and Mark A. Liniger and Katrin Ehlert and Matthew Chantry and Håvard Homleid Haugen and Gert Mertes and Ana Prieto Nemesio and Mario Santa Cruz and Jasper Wijnands and Gabriel Moldovan and Harrison Cook and Oliver Fuhrer},
  year = {2026},
  eprint = {2610.01835},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.01835},
}

@article{marey2026less,
  title = {Less is more: error-distance scaling relation for data-efficient kilometer-scale downscaling of extreme heat},
  author = {Ahmed Marey and Henry Lu and Abhishek Gaur and Sherif Goubran and Malek Aloui and Theodore Potsis and David Rolnick and Alex Hernandez-Garcia and Liangzhu Leon Wang},
  year = {2026},
  eprint = {2609.40140},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.40140},
}

@article{lemaire2026rainatlas,
  title = {RainAtlas: A Multi-Continental Dataset for Precipitation Downscaling},
  author = {Pierre-Louis Lemaire and Luca Schmidt and Wietze Suijker and Alex Hernandez-Garcia and David Rolnick},
  year = {2026},
  eprint = {2609.39833},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.39833},
}

@article{rouzegari2026westwrf,
  title = {West-WRF AI 2-km: High-Resolution Prediction of Integrated Vapor Transport and Precipitation},
  author = {Nazak Rouzegari and Vesta Afzali Gorooh and Agniv Sengupta and Phu Nguyen and Kuo-Lin Hsu and Amir AghaKouchak and Soroosh Sorooshian and F. Martin Ralph and Luca Delle Monache},
  year = {2026},
  eprint = {2609.25512},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.25512},
}

@article{sha2026kilometerscale,
  title = {Kilometer-Scale AI Downscaling of Atlantic Hurricanes with Generative Ensembles},
  author = {Yingkai Sha and Talea L. Mayo and Ethan D. Gutmann and Lulin Xue and Andrew Newman},
  year = {2026},
  eprint = {2609.02034},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.02034},
}

@article{martin2026generative,
  title = {Generative data assimilation highlights fronts as key regulators of ocean energy cascade},
  author = {Scott A. Martin and Georgy E. Manucharyan and Patrice Klein},
  year = {2026},
  eprint = {2608.14955},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.14955},
}

@article{hamill2026highresolution,
  title = {High-resolution Calibrated Probabilistic Hourly Precipitation from a Deterministic Forecast},
  author = {Thomas M Hamill},
  year = {2026},
  eprint = {2608.12685},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.12685},
}

@article{wang2026mapcast,
  title = {MAPCast: A Convection Allowing MPAS Emulator for Ensemble-based Background Error Covariance Estimation Toward Multi-Scale Data Assimilation},
  author = {Yongming Wang and Xuguang Wang},
  year = {2026},
  eprint = {2607.21917},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.21917},
}

@article{cromp2026geospatial,
  title = {Geospatial Diffusion-based Evolution Synthesis (GeoDES) for Storm-Centered Weather Augmentation},
  author = {Sonia Cromp and Satya Sai Srinath Namburi GNVV and Youran Wang and Grace Kisslinger and Frederic Sala and James Booth and Allegra LeGrande},
  year = {2026},
  eprint = {2607.19522},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.19522},
}

@article{frastali2026apeliotes,
  title = {Apeliotes: A Diffusion-Based Modeling Framework for km-scale Multi-Level Atmospheric Fields},
  author = {Evangelia Rafaela Frastali and Achyut Paudel and Maryam Golbazi and Frank Liu},
  year = {2026},
  eprint = {2607.17037},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.17037},
}

@article{ingstad2026hourglass,
  title = {HourGlass: A probabilistic data-driven temporal downscaler for global and regional weather forecasting},
  author = {Magnus Sikora Ingstad and Mariana C. A. Clare and Olav Ersland and Vera Gahlen and Håvard Homleid Haugen and Ophélia Miralles and Even M. Nordhagen and Thomas N. Nipen and Ivar A. Seierstad and John Bjørnar Bremnes and Michael Maier-Gerber and Zied Ben Bouallègue and Harrison Cook and Christian Lessig and Gert Mertes and Cathal O'Brien and Florian Pinault and Ana Prieto Nemesio and Matthew Chantry},
  year = {2026},
  eprint = {2607.11457},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.11457},
}

@article{kamzela2026global,
  title = {From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model},
  author = {Wiktor Kamzela and Jakub Kubiak and Adam Dobosz and Jędrzej Miczke and Anatol Kaczmarek and Piotr Wyrwiński and Wojciech Stefaniak and Wojciech Kotłowski},
  year = {2026},
  eprint = {2607.03279},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.03279},
}

@article{hu2026scaling,
  title = {Scaling Storm-Resolving Atmospheric AI Simulation to the Entire Planet},
  author = {Zeyuan Hu and Akshay Subramaniam and Noel Keen and Tao Ge and Jaideep Pathak and Mohammad Shoaib Abbas and Suman Ravuri and Karthik Kashinath and Naser Mahfouz and Peter Caldwell and Mike Pritchard and Noah Brenowitz},
  year = {2026},
  eprint = {2606.31248},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.31248},
}

@article{sarauer2026stable,
  title = {From stable online coupling to decade-long climate simulations: A machine learning parameterization for cloud microphysics in ICON},
  author = {Ellen Sarauer and Mierk Schwabe and Philipp Weiss and Axel Lauer and Philip Stier and Veronika Eyring},
  year = {2026},
  eprint = {2606.23829},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.23829},
}

@article{simm2026precover,
  title = {PRecover 1.0: Process Rate Recovery with Machine Learning},
  author = {Miriam Simm and Tom Beucler and Corinna Hoose},
  year = {2026},
  eprint = {2606.20165},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.20165},
}

@article{zhao2026skillful,
  title = {Skillful high-resolution weather forecasting independent of physical models},
  author = {Pengcheng Zhao and Siqi Xiang and Weixin Jin and Zekun Ni and Jiang Bian and Zuliang Fang and Hongyu Sun and Bin Zhang and Richard E. Turner and Jonathan Weyn and Haiyu Dong and Kit Thambiratnam and Qi Zhang},
  year = {2026},
  eprint = {2605.28153},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.28153},
}

@article{luitel2026aircastsr,
  title = {AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion},
  author = {Somnath Luitel and Manmeet Singh and Joshua Durkee and Abdullah Al Fahad and Naveen Sudharsan and Prabhjot Singh and Cenlin He and Harsh Kamath and Zong-Liang Yang and Krishnagopal Halder and Sandeep Juneja and Parthasarathi Mukhopadhyay and Saptarishi Dhanuka and Amit Kumar Srivastava},
  year = {2026},
  eprint = {2605.26130},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.26130},
}

@article{chen2026exascale,
  title = {Exascale Hybrid Numerical-AI Ensembles for Operational Flood-Season Forecasting in East Asia: 15-km Decadal Hindcasts and 1-km High-Resolution Capability},
  author = {Mengxuan Chen and Yunpu Xu and Qiuyan Sun and Han Zhang and Jiayi Lai and Zheng Zhou and Juepeng Zheng and Hongsong Meng and Nan Wei and Jinxiao Zhang and Xiongchuan Tan and Haodong Bian and Yinan Cai and Ge Yang and Fang Wang and Yunyun Liu and Conghui He and Runmin Dong and Lanning Wang and Yutong Lu and Yongjiu Dai and Haohuan Fu},
  year = {2026},
  eprint = {2605.24896},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.24896},
}

@article{zhu2026volador,
  title = {Volador 1.0: A Data-Driven Air-Sea Full-Coupling Regional Forecast Model with Submesoscale-Permitting Based on MOE-Swin-Transformer Framework},
  author = {Yuhang Zhu and Jianxin Wang and Yu-kun Qian and Yineng Li and Yahui Liu and Yankun Gong and Shilin Tang and Shiqiu Peng and Tao Song},
  year = {2026},
  eprint = {2605.24032},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.24032},
}

@article{assouline2026swaitherprecip,
  title = {SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland},
  author = {Dan Assouline and Erwan Koch and Federico Amato and Filippo Quarenghi and Daniele Nerini and Thibaut Loiseau and Kyle van de Langemheen and Tom Beucler},
  year = {2026},
  eprint = {2605.16163},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.16163},
}

@article{chen2026federated,
  title = {Federated Weather Modeling on Sensor Data},
  author = {Shengchao Chen and Guodong Long},
  year = {2026},
  eprint = {2605.00322},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.00322},
}

@article{essafouri2026explanation,
  title = {Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting},
  author = {Younes Essafouri and Laure Raynaud and Luciano Drozda and Laurent Risser},
  year = {2026},
  eprint = {2604.22580},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.22580},
}

@article{wang2026global,
  title = {Global Attention with Linear Complexity for Exascale Generative Data Assimilation in Earth System Prediction},
  author = {Xiao Wang and Zezhong Zhang and Isaac Lyngaas and Hong-Jun Yoon and Jong-Youl Choi and Siming Liang and Janet Wang and Hristo G. Chipilski and Ashwin M. Aji and Feng Bao and Peter Jan van Leeuwen and Dan Lu and Guannan Zhang},
  year = {2026},
  eprint = {2604.16590},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.16590},
}

@article{pierzyna2026otprof,
  title = {OTProf: estimating high-resolution profiles of optical turbulence ($C_n^2$) from reanalysis using deep learning},
  author = {Maximilian Pierzyna and Sukanta Basu and Rudolf Saathof},
  year = {2026},
  eprint = {2604.09346},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.09346},
}

@article{pasquini2026assessing,
  title = {Assessing the ability of a stretched-grid deep-learning weather prediction model to capture physical balances},
  author = {Francesco Pasquini and Michiel Baatsen and Bastien François and Natalie Theeuwes and Maurice Schmeits},
  year = {2026},
  eprint = {2604.01454},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.01454},
}

@article{chen2026skillful,
  title = {Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling},
  author = {Weiqi Chen and Wenwei Wang and Qilong Yuan and Lefei Shen and Bingqing Peng and Jiawei Chen and Bo Wu and Liang Sun},
  year = {2026},
  eprint = {2603.28173},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.28173},
}

@article{simm2026calibrated,
  title = {Calibrated Conformal Prediction Intervals for Microphysical Process Rates},
  author = {Miriam Simm and Corinna Hoose and Tom Beucler},
  year = {2026},
  eprint = {2603.27699},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.27699},
}

@article{flora2026developing,
  title = {Developing Machine Learning-Based Watch-to-Warning Severe Weather Guidance from the Warn-on-Forecast System},
  author = {Montgomery Flora and Samuel Varga and Corey Potvin and Noah Lang},
  year = {2026},
  eprint = {2603.20250},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.20250},
}

@article{shchur2026mrgnf,
  title = {MR-GNF: Multi-Resolution Graph Neural Forecasting on Ellipsoidal Meshes for Efficient Regional Weather Prediction},
  author = {Andrii Shchur and Inna Skarga-Bandurova},
  year = {2026},
  eprint = {2603.13563},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2603.13563},
}

@article{sha2026aibased,
  title = {AI-Based Regional Emulation for Kilometer-Scale Dynamical Downscaling},
  author = {Yingkai Sha and Tracy Hertneky and Ethan Gutmann and Seth McGinnis and Rachel McCrary and Lulin Xue and David John Gagne and Kathryn Newman and Andrew Newman},
  year = {2026},
  eprint = {2602.18646},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2602.18646},
}

@article{kristensen2026flo,
  title = {Flo: A data-driven limited-area storm surge model},
  author = {Nils Melsom Kristensen and Mateusz Matuszak and Paulina Tedesco and Ina Kristine Berentsen Kullmann and Johannes Röhrs},
  year = {2026},
  eprint = {2601.02090},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2601.02090},
}

@article{perkins2025hiroace,
  title = {HiRO-ACE: Fast and skillful AI emulation and downscaling trained on a 3 km global storm-resolving model},
  author = {W. Andre Perkins and Anna Kwa and Jeremy McGibbon and Troy Arcomano and Spencer K. Clark and Oliver Watt-Meyer and Christopher S. Bretherton and Lucas M. Harris},
  year = {2025},
  eprint = {2512.18224},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2512.18224},
}

@article{nordhagen2025highresolution,
  title = {High-Resolution Probabilistic Data-Driven Weather Modeling with a Stretched-Grid},
  author = {Even Marius Nordhagen and Håvard Homleid Haugen and Aram Farhad Shafiq Salihi and Magnus Sikora Ingstad and Thomas Nils Nipen and Ivar Ambjørn Seierstad and Inger-Lise Frogner and Mariana Clare and Simon Lang and Matthew Chantry and Peter Dueben and Jørn Kristiansen},
  year = {2025},
  eprint = {2511.23043},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.23043},
}

@article{lin2025cloud4d,
  title = {Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution},
  author = {Jacob Lin and Edward Gryspeerdt and Ronald Clark},
  year = {2025},
  eprint = {2511.19431},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2511.19431},
}

@article{brusaferri2025kmscale,
  title = {Km-scale dynamical downscaling through conformalized latent diffusion models},
  author = {Alessandro Brusaferri and Andrea Ballarino},
  year = {2025},
  eprint = {2510.13301},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.13301},
}

@article{larsson2025crpslam,
  title = {CRPS-LAM: Probabilistic Regional Weather Forecasting with Continuous Ranked Probability Score},
  author = {Erik Larsson and Joel Oskarsson and Tomas Landelius and Fredrik Lindsten},
  year = {2025},
  eprint = {2510.09484},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.09484},
}

@article{yang2025danra,
  title = {DANRA: The Kilometer-Scale Danish Regional Atmospheric Reanalysis},
  author = {Xiaohua Yang and Carlos Peralta and Bjarne Amstrup and Kasper Stener Hintz and Søren Borg Thorsen and Leif Denby and Simon Kamuk Christiansen and Hauke Schulz and Sebastian Pelt and Mathias Schreiner},
  year = {2025},
  eprint = {2510.04681},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2510.04681},
}

@article{chen2025stcast,
  title = {STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting},
  author = {Hao Chen and Tao Han and Jie Zhang and Song Guo and Lei Bai},
  year = {2025},
  eprint = {2509.25210},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.25210},
}

@article{yu2025machine,
  title = {Using machine learning to downscale coarse-resolution environmental variables for understanding the spatial frequency of convective storms},
  author = {Hungjui Yu and Lander Ver Hoef and Kristen L. Rasmussen and Imme Ebert-Uphoff},
  year = {2025},
  eprint = {2509.08802},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.08802},
}

@article{nguyen2025indiaweatherbench,
  title = {IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India},
  author = {Tung Nguyen and Harkanwar Singh and Nilay Naharas and Lucas Bandarkar and Aditya Grover},
  year = {2025},
  eprint = {2509.00653},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2509.00653},
}

@article{lerch2025operational,
  title = {Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS)},
  author = {Sebastian Lerch and Benedikt Schulz and Reinhold Hess and Annette Möller and Cristina Primo and Sebastian Trepte and Susanne Theis},
  year = {2025},
  eprint = {2508.03845},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2508.03845},
}

@article{wijnands2025comparison,
  title = {A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting},
  author = {Jasper S. Wijnands and Michiel Van Ginderachter and Bastien François and Sophie Buurman and Piet Termonia and Dieter Van den Bleeken},
  year = {2025},
  eprint = {2507.18378},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.18378},
}

@article{abdi2025hrrrcast,
  title = {HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales},
  author = {Daniel Abdi and Isidora Jankov and Paul Madden and Vanderlei Vargas and Timothy A. Smith and Sergey Frolov and Montgomery Flora and Corey Potvin},
  year = {2025},
  eprint = {2507.05658},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.05658},
}

@article{yi2025efficient,
  title = {Efficient Kilometer-Scale Precipitation Downscaling with Conditional Wavelet Diffusion},
  author = {Chugang Yi and Minghan Yu and Weikang Qian and Yixin Wen and Haizhao Yang},
  year = {2025},
  eprint = {2507.01354},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.01354},
}

@article{lin2025terrainaware,
  title = {Terrain-aware Deep Learning for Wind Energy Applications: From Kilometer-scale Forecasts to Fine Wind Fields},
  author = {Chensen Lin and Ruian Tie and Shihong Yi and Xiaohui Zhong and Hao Li},
  year = {2025},
  eprint = {2505.12732},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.12732},
}

@article{jackaman2025improving,
  title = {Improving regional weather forecasts with neural interpolation},
  author = {James Jackaman and Oliver Sutton},
  year = {2025},
  eprint = {2505.12040},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.12040},
}

@article{brenowitz2025climate,
  title = {Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere},
  author = {Noah D. Brenowitz and Tao Ge and Akshay Subramaniam and Peter Manshausen and Aayush Gupta and David M. Hall and Morteza Mardani and Arash Vahdat and Karthik Kashinath and Michael S. Pritchard},
  year = {2025},
  eprint = {2505.06474},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2505.06474},
}

@article{adamov2025building,
  title = {Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings},
  author = {Simon Adamov and Joel Oskarsson and Leif Denby and Tomas Landelius and Kasper Hintz and Simon Christiansen and Irene Schicker and Carlos Osuna and Fredrik Lindsten and Oliver Fuhrer and Sebastian Schemm},
  year = {2025},
  eprint = {2504.09340},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2504.09340},
}

@article{liang2025cncast,
  title = {CNCast: Leveraging 3D Swin Transformer and DiT for Enhanced Regional Weather Forecasting},
  author = {Hongli Liang and Yuanting Zhang and Qingye Meng and Shuangshuang He and Xingyuan Yuan},
  year = {2025},
  eprint = {2503.13546},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2503.13546},
}

@article{shah2025generative,
  title = {Generative Modeling of Microweather Wind Velocities for Urban Air Mobility},
  author = {Tristan A. Shah and Michael C. Stanley and James E. Warner},
  year = {2025},
  eprint = {2503.02690},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2503.02690},
}

@article{yousefnia2025increasing,
  title = {Increasing NWP Thunderstorm Predictability Using Ensemble Data and Machine Learning},
  author = {Kianusch Vahid Yousefnia and Tobias Bölle and Christoph Metzl},
  year = {2025},
  eprint = {2502.13316},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2502.13316},
}

@article{larsson2025diffusionlam,
  title = {Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion},
  author = {Erik Larsson and Joel Oskarsson and Tomas Landelius and Fredrik Lindsten},
  year = {2025},
  eprint = {2502.07532},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2502.07532},
}

@article{gao2025oneforecast,
  title = {OneForecast: A Universal Framework for Global and Regional Weather Forecasting},
  author = {Yuan Gao and Hao Wu and Ruiqi Shu and Huanshuo Dong and Fan Xu and Rui Ray Chen and Yibo Yan and Qingsong Wen and Xuming Hu and Kun Wang and Jiahao Wu and Qing Li and Hui Xiong and Xiaomeng Huang},
  year = {2025},
  eprint = {2502.00338},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2502.00338},
}

@article{sundar2024taudiff,
  title = {TAUDiff: Highly efficient kilometer-scale downscaling using generative diffusion models},
  author = {Rahul Sundar and Yucong Hu and Nishant Parashar and Antoine Blanchard and Boyko Dodov},
  year = {2024},
  eprint = {2412.13627},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2412.13627},
}

@article{zhang2024regional,
  title = {Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data},
  author = {Yihe Zhang and Bryce Turney and Purushottam Sigdel and Xu Yuan and Eric Rappin and Adrian Lago and Sytske Kimball and Li Chen and Paul Darby and Lu Peng and Sercan Aygun and Yazhou Tu and M. Hassan Najafi and Nian-Feng Tzeng},
  year = {2024},
  eprint = {2412.10450},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2412.10450},
}

@article{xiang2024adaf,
  title = {ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting},
  author = {Yanfei Xiang and Weixin Jin and Haiyu Dong and Mingliang Bai and Zuliang Fang and Pengcheng Zhao and Hongyu Sun and Kit Thambiratnam and Qi Zhang and Xiaomeng Huang},
  year = {2024},
  eprint = {2411.16807},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2411.16807},
}

@article{yousefnia2024inferring,
  title = {Inferring Thunderstorm Occurrence from Vertical Profiles of Convection-Permitting Simulations: Physical Insights from a Physical Deep Learning Model},
  author = {Kianusch Vahid Yousefnia and Christoph Metzl and Tobias Bölle},
  year = {2024},
  eprint = {2409.20087},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.20087},
}

@article{munir2024efficient,
  title = {Efficient Localized Adaptation of Neural Weather Forecasting: A Case Study in the MENA Region},
  author = {Muhammad Akhtar Munir and Fahad Shahbaz Khan and Salman Khan},
  year = {2024},
  eprint = {2409.07585},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.07585},
}

@article{nipen2024regional,
  title = {Regional data-driven weather modeling with a global stretched-grid},
  author = {Thomas Nils Nipen and Håvard Homleid Haugen and Magnus Sikora Ingstad and Even Marius Nordhagen and Aram Farhad Shafiq Salihi and Paulina Tedesco and Ivar Ambjørn Seierstad and Jørn Kristiansen and Simon Lang and Mihai Alexe and Jesper Dramsch and Baudouin Raoult and Gert Mertes and Matthew Chantry},
  year = {2024},
  eprint = {2409.02891},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2409.02891},
}

@article{pathak2024kilometerscale,
  title = {Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling},
  author = {Jaideep Pathak and Yair Cohen and Piyush Garg and Peter Harrington and Noah Brenowitz and Dale Durran and Morteza Mardani and Arash Vahdat and Shaoming Xu and Karthik Kashinath and Michael Pritchard},
  year = {2024},
  eprint = {2408.10958},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.10958},
}

@article{qin2024metmamba,
  title = {MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model},
  author = {Haoyu Qin and Yungang Chen and Qianchuan Jiang and Pengchao Sun and Xiancai Ye and Chao Lin},
  year = {2024},
  eprint = {2408.06400},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2408.06400},
}

@article{addison2024machine,
  title = {Machine learning emulation of precipitation from km-scale UK regional climate simulations using a diffusion model},
  author = {Henry Addison and Elizabeth Kendon and Suman Ravuri and Laurence Aitchison and Peter AG Watson},
  year = {2024},
  eprint = {2407.14158},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2407.14158},
}

@article{abdelhady2024deep,
  title = {A Deep Learning Approach for Modeling and Hindcasting Lake Michigan Ice Cover},
  author = {Hazem Abdelhady and Cary Troy},
  year = {2024},
  eprint = {2407.04937},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2407.04937},
}