{"total":70,"rows":[{"id":"2104.00954","title":"Skillful Precipitation Nowcasting using Deep Generative Models of Radar","created":"2021-04-02","cited_by_count":311,"area":null},{"id":"2309.15214","title":"Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling","created":"2023-09-24","cited_by_count":110,"area":"diffusion"},{"id":"2204.02028","title":"A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts","created":"2022-04-05","cited_by_count":66,"area":null},{"id":"2304.12891","title":"Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification","created":"2023-04-25","cited_by_count":56,"area":"diffusion"},{"id":"2203.12297","title":"Increasing the accuracy and resolution of precipitation forecasts using deep generative models","created":"2022-03-23","cited_by_count":35,"area":null},{"id":"2312.03014","title":"Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey","created":"2023-12-05","cited_by_count":34,"area":null},{"id":"2208.05424","title":"Hard-Constrained Deep Learning for Climate Downscaling","created":"2022-08-08","cited_by_count":32,"area":null},{"id":"2408.10958","title":"Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling","created":"2024-08-20","cited_by_count":32,"area":"diffusion"},{"id":"2303.00652","title":"Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science","created":"2023-03-01","cited_by_count":27,"area":null},{"id":"2211.01345","title":"Generative machine learning methods for multivariate ensemble post-processing","created":"2022-09-26","cited_by_count":26,"area":null},{"id":"2305.14452","title":"Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling","created":"2023-05-23","cited_by_count":26,"area":null},{"id":"2404.17752","title":"Generative Diffusion-based Downscaling for Climate","created":"2024-04-27","cited_by_count":25,"area":null},{"id":"2308.06733","title":"Precipitation nowcasting with generative diffusion models","created":"2023-08-13","cited_by_count":23,"area":"diffusion"},{"id":"2211.16116","title":"Machine learning emulation of a local-scale UK climate model","created":"2022-11-29","cited_by_count":20,"area":null},{"id":"2312.06071","title":"Precipitation Downscaling with Spatiotemporal Video Diffusion","created":"2023-12-11","cited_by_count":19,"area":"diffusion"},{"id":"2101.06813","title":"Fast and accurate learned multiresolution dynamical downscaling for precipitation","created":"2021-01-18","cited_by_count":18,"area":null},{"id":"2104.12506","title":"Bridging observation, theory and numerical simulation of the ocean using Machine Learning","created":"2021-04-26","cited_by_count":15,"area":null},{"id":"2407.14158","title":"Machine learning emulation of precipitation from km-scale UK regional climate simulations using a diffusion model","created":"2024-07-19","cited_by_count":15,"area":"diffusion"},{"id":"2406.13627","title":"Can AI be enabled to dynamical downscaling? A Latent Diffusion Model to mimic km-scale COSMO5.0\\_CLM9 simulations","created":"2024-06-19","cited_by_count":14,"area":"diffusion"},{"id":"2302.08720","title":"Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales","created":"2023-02-17","cited_by_count":13,"area":null},{"id":"2109.08770","title":"WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data","created":"2021-09-17","cited_by_count":11,"area":null},{"id":"2509.26258","title":"EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules","created":"2025-09-30","cited_by_count":10,"area":null},{"id":"2104.08236","title":"Controlled abstention neural networks for identifying skillful predictions for regression problems","created":"2021-04-16","cited_by_count":9,"area":null},{"id":"2207.00808","title":"On the modern deep learning approaches for precipitation downscaling","created":"2022-07-02","cited_by_count":9,"area":null},{"id":"2304.11699","title":"DiffESM: Conditional Emulation of Earth System Models with Diffusion Models","created":"2023-04-23","cited_by_count":9,"area":"diffusion"},{"id":"2411.16098","title":"Global spatio-temporal downscaling of ERA5 precipitation through generative AI","created":"2024-11-22","cited_by_count":9,"area":null},{"id":"2406.02587","title":"Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling","created":"2024-05-31","cited_by_count":8,"area":null},{"id":"2407.12517","title":"Evaluating the transferability potential of deep learning models for climate downscaling","created":"2024-07-17","cited_by_count":8,"area":null},{"id":"2506.22780","title":"Multimodal Atmospheric Super-Resolution With Deep Generative Models","created":"2025-06-28","cited_by_count":8,"area":"diffusion"},{"id":"2401.11960","title":"Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method","created":"2024-01-22","cited_by_count":7,"area":null},{"id":"2405.07395","title":"CaFA: Global Weather Forecasting with Factorized Attention on Sphere","created":"2024-05-12","cited_by_count":6,"area":null},{"id":"2203.10114","title":"Seamless lightning nowcasting with recurrent-convolutional deep learning","created":"2022-03-15","cited_by_count":5,"area":null},{"id":"2501.14404","title":"Kolmogorov Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields from In-Situ Observations","created":"2025-01-24","cited_by_count":5,"area":null},{"id":"2507.04930","title":"RainShift: A Benchmark for Precipitation Downscaling Across Geographies","created":"2025-07-07","cited_by_count":5,"area":null},{"id":"2602.11893","title":"Universal Diffusion-Based Probabilistic Downscaling","created":"2026-02-12","cited_by_count":5,"area":null},{"id":"2109.02953","title":"Combining data assimilation and machine learning to estimate parameters of a convective-scale model","created":"2021-09-07","cited_by_count":4,"area":null},{"id":"2111.02121","title":"Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast challenge","created":"2021-11-03","cited_by_count":4,"area":null},{"id":"2403.18864","title":"Interpretable Machine Learning for Weather and Climate Prediction: A Survey","created":"2024-03-24","cited_by_count":4,"area":null},{"id":"2410.00381","title":"Downscaling Extreme Precipitation with Wasserstein Regularized Diffusion","created":"2024-10-01","cited_by_count":4,"area":null},{"id":"2410.15628","title":"Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling","created":"2024-10-21","cited_by_count":4,"area":null},{"id":"2509.00017","title":"Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerland","created":"2025-08-16","cited_by_count":4,"area":null},{"id":"2104.08281","title":"Controlled abstention neural networks for identifying skillful predictions for classification problems","created":"2021-04-16","cited_by_count":3,"area":null},{"id":"2202.11099","title":"Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks","created":"2022-02-22","cited_by_count":3,"area":null},{"id":"2210.12504","title":"Generative Modeling of High-resolution Global Precipitation Forecasts","created":"2022-10-22","cited_by_count":3,"area":null},{"id":"2304.04664","title":"Inductive biases in deep learning models for weather prediction","created":"2023-04-06","cited_by_count":3,"area":null},{"id":"2410.09111","title":"IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior","created":"2024-10-10","cited_by_count":3,"area":"diffusion"},{"id":"2604.03459","title":"Physics-Constrained Adaptive Flow Matching for Climate Downscaling","created":"2026-04-03","cited_by_count":3,"area":"diffusion"},{"id":"2305.00974","title":"On the use of Deep Generative Models for Perfect Prognosis Climate Downscaling","created":"2023-04-27","cited_by_count":2,"area":null},{"id":"2402.14049","title":"Generative Adversarial Models for Extreme Geospatial Downscaling","created":"2024-02-21","cited_by_count":2,"area":null},{"id":"2504.00307","title":"Generating realistic global precipitation fields from modelled atmospheric circulation","created":"2025-04-01","cited_by_count":2,"area":null},{"id":"2604.10414","title":"Neural Stochastic Processes for Satellite Precipitation Refinement","created":"2026-04-12","cited_by_count":2,"area":null},{"id":"2310.06045","title":"Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model","created":"2023-10-09","cited_by_count":1,"area":null},{"id":"2407.04724","title":"A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling","created":"2024-06-26","cited_by_count":1,"area":null},{"id":"2410.09109","title":"Compressing high-resolution data through latent representation encoding for downscaling large-scale AI weather forecast model","created":"2024-10-10","cited_by_count":1,"area":null},{"id":"2503.13316","title":"RainScaleGAN: a Conditional Generative Adversarial Network for Rainfall Downscaling","created":"2025-03-17","cited_by_count":1,"area":null},{"id":"2507.17798","title":"Wasserstein GAN-Based Precipitation Downscaling with Optimal Transport for Enhancing Perceptual Realism","created":"2025-07-23","cited_by_count":1,"area":null},{"id":"2510.20228","title":"Sparse Local Implicit Image Function for sub-km Weather Downscaling","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2512.01400","title":"On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling","created":"2025-12-01","cited_by_count":1,"area":null},{"id":"2604.21903","title":"A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models","created":"2026-04-23","cited_by_count":1,"area":"diffusion"},{"id":"2606.31290","title":"Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification","created":"2026-06-30","cited_by_count":1,"area":"diffusion"},{"id":"2203.15601","title":"Photographic Visualization of Weather Forecasts with Generative Adversarial Networks","created":"2022-03-29","cited_by_count":0,"area":null},{"id":"2205.08967","title":"DL4DS -- Deep Learning for empirical DownScaling","created":"2022-05-07","cited_by_count":0,"area":null},{"id":"2312.08933","title":"Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields","created":"2023-12-14","cited_by_count":0,"area":null},{"id":"2603.12828","title":"From AI Weather Prediction to Infrastructure Resilience: A Real-Time Correction-Downscaling Framework for Tropical Cyclone Impact Forecasting","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2604.07928","title":"Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2605.23403","title":"Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling","created":"2026-05-22","cited_by_count":0,"area":"diffusion"},{"id":"2606.08563","title":"Physics-Guided Dual Decoding and Spectral Supervision for Global 3D Hydrometeor Prediction","created":"2026-06-07","cited_by_count":0,"area":null},{"id":"2609.28749","title":"Evaluating Cross-region Generalization for Wavelet-Diffusion Precipitation Downscaling","created":"2026-09-23","cited_by_count":0,"area":"diffusion"},{"id":"2610.03736","title":"Efficient Analog-Initialized Latent Transport for Spatially Coherent Probabilistic Downscaling from Global to Kilometer Scales","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2610.16816","title":"Statistical Downscaling of Daily Precipitation from ERA5 Atmospheric Fields to IMERG over West Africa","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}