{"total":82,"rows":[{"id":"2301.10343","title":"ClimaX: A foundation model for weather and climate","created":"2023-01-24","cited_by_count":337,"area":null},{"id":"2203.16797","title":"When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning","created":"2022-03-31","cited_by_count":65,"area":null},{"id":"2307.01909","title":"ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling","created":"2023-07-04","cited_by_count":47,"area":null},{"id":"2104.10066","title":"EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task","created":"2021-04-16","cited_by_count":34,"area":null},{"id":"2305.15618","title":"Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models","created":"2023-05-24","cited_by_count":33,"area":"diffusion"},{"id":"2208.05424","title":"Hard-Constrained Deep Learning for Climate Downscaling","created":"2022-08-08","cited_by_count":32,"area":null},{"id":"2101.07950","title":"Convolutional conditional neural processes for local climate downscaling","created":"2021-01-20","cited_by_count":29,"area":null},{"id":"2203.08775","title":"Practical Conditional Neural Processes Via Tractable Dependent Predictions","created":"2022-03-16","cited_by_count":25,"area":null},{"id":"2404.17752","title":"Generative Diffusion-based Downscaling for Climate","created":"2024-04-27","cited_by_count":25,"area":null},{"id":"2105.12909","title":"Deconditional Downscaling with Gaussian Processes","created":"2021-05-27","cited_by_count":24,"area":null},{"id":"2101.06813","title":"Fast and accurate learned multiresolution dynamical downscaling for precipitation","created":"2021-01-18","cited_by_count":18,"area":null},{"id":"2404.14416","title":"Conditional diffusion models for downscaling and bias correction of Earth system model precipitation","created":"2024-04-05","cited_by_count":17,"area":"diffusion"},{"id":"2401.15469","title":"Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models","created":"2024-01-27","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":"2207.11417","title":"Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers","created":"2022-07-23","cited_by_count":12,"area":null},{"id":"2408.10854","title":"MambaDS: Near-Surface Meteorological Field Downscaling with Topography Constrained Selective State Space Modeling","created":"2024-08-20","cited_by_count":12,"area":"ssm"},{"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":"2111.04639","title":"S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process","created":"2021-11-08","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":"2209.12433","title":"Deep generative model super-resolves spatially correlated multiregional climate data","created":"2022-09-26","cited_by_count":9,"area":null},{"id":"2410.12938","title":"Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data","created":"2024-10-16","cited_by_count":9,"area":null},{"id":"2109.08017","title":"Super-resolution data assimilation","created":"2021-09-04","cited_by_count":8,"area":null},{"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":"2211.07555","title":"Contrastive Learning for Climate Model Bias Correction and Super-Resolution","created":"2022-11-10","cited_by_count":6,"area":null},{"id":"2308.01868","title":"Multi-variable Hard Physical Constraints for Climate Model Downscaling","created":"2023-08-02","cited_by_count":6,"area":null},{"id":"2408.02688","title":"A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data","created":"2024-08-02","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":"2105.06386","title":"Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks","created":"2021-04-29","cited_by_count":4,"area":null},{"id":"2106.07218","title":"Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling","created":"2021-06-14","cited_by_count":4,"area":null},{"id":"2109.14251","title":"Road Network Guided Fine-Grained Urban Traffic Flow Inference","created":"2021-09-29","cited_by_count":4,"area":null},{"id":"2312.07112","title":"Generating High-Resolution Regional Precipitation Using Conditional Diffusion Model","created":"2023-12-12","cited_by_count":4,"area":"diffusion"},{"id":"2410.12728","title":"Transformer based super-resolution downscaling for regional reanalysis: Full domain vs tiling approaches","created":"2024-10-16","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":"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":"2505.14555","title":"Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting","created":"2025-05-20","cited_by_count":3,"area":null},{"id":"2512.24473","title":"F2IDiff: Real-world Image Super-resolution using Feature to Image Diffusion Foundation Model","created":"2025-12-30","cited_by_count":2,"area":null},{"id":"2209.06848","title":"Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA","created":"2022-08-15","cited_by_count":1,"area":null},{"id":"2212.01446","title":"Downscaling Extreme Rainfall Using Physical-Statistical Generative Adversarial Learning","created":"2022-12-02","cited_by_count":1,"area":null},{"id":"2312.12476","title":"DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling","created":"2023-12-19","cited_by_count":1,"area":null},{"id":"2403.17847","title":"Climate Downscaling: A Deep-Learning Based Super-resolution Model of Precipitation Data with Attention Block and Skip Connections","created":"2024-03-26","cited_by_count":1,"area":null},{"id":"2406.04099","title":"Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Models","created":"2024-06-06","cited_by_count":1,"area":"diffusion"},{"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":"2411.05850","title":"Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? An Intercomparison for Temperature and Precipitation over Spain","created":"2024-11-06","cited_by_count":1,"area":null},{"id":"2501.14822","title":"Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling","created":"2025-01-21","cited_by_count":1,"area":"diffusion"},{"id":"2502.12427","title":"Frequency-Aware Vision Transformers for High-Fidelity Super-Resolution of Earth System Models","created":"2025-02-18","cited_by_count":1,"area":null},{"id":"2508.16396","title":"Generative artificial intelligence improves projections of climate extremes","created":"2025-08-22","cited_by_count":1,"area":null},{"id":"2512.05377","title":"China Regional 3km Downscaling Based on Residual Corrective Diffusion Model","created":"2025-12-05","cited_by_count":1,"area":"diffusion"},{"id":"2601.01363","title":"A unified multimodal understanding and generation model for cross-disciplinary scientific research","created":"2026-01-04","cited_by_count":1,"area":null},{"id":"2605.26130","title":"AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion","created":"2026-05-20","cited_by_count":1,"area":null},{"id":"2110.01408","title":"Paradigm Shift Through the Integration of Physical Methodology and Data Science","created":"2021-09-30","cited_by_count":0,"area":null},{"id":"2112.12966","title":"Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asia","created":"2021-12-24","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":"2206.12141","title":"Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains","created":"2022-06-24","cited_by_count":0,"area":null},{"id":"2304.13415","title":"Regression with Sensor Data Containing Incomplete Observations","created":"2023-04-26","cited_by_count":0,"area":null},{"id":"2306.11144","title":"Evaluating Loss Functions and Learning Data Pre-Processing for Climate Downscaling Deep Learning Models","created":"2023-06-19","cited_by_count":0,"area":null},{"id":"2401.15893","title":"Arbitrary-Scale Downscaling of Tidal Current Data Using Implicit Continuous Representation","created":"2024-01-29","cited_by_count":0,"area":null},{"id":"2404.17611","title":"MetaSD: A Unified Framework for Scalable Downscaling of Meteorological Variables in Diverse Situations","created":"2024-04-26","cited_by_count":0,"area":null},{"id":"2408.16792","title":"Uncertainty-aware segmentation for rainfall prediction post processing","created":"2024-08-28","cited_by_count":0,"area":null},{"id":"2411.18799","title":"Density correction for multivariate spatial fields of global climate model output using deep learning","created":"2024-11-27","cited_by_count":0,"area":null},{"id":"2412.14539","title":"Downscaling Precipitation with Bias-informed Conditional Diffusion Model","created":"2024-12-19","cited_by_count":0,"area":"diffusion"},{"id":"2502.06741","title":"ViSIR: Vision Transformer Single Image Reconstruction Method for Earth System Models","created":"2025-02-10","cited_by_count":0,"area":null},{"id":"2503.18658","title":"Leveraging Land Cover Priors for Isoprene Emission Super-Resolution","created":"2025-03-24","cited_by_count":0,"area":null},{"id":"2504.14174","title":"Physics-Guided Multimodal Transformers are the Necessary Foundation for the Next Generation of Meteorological Science","created":"2025-04-19","cited_by_count":0,"area":null},{"id":"2506.22447","title":"Vision Transformers for Multi-Variable Climate Downscaling: Emulating Regional Climate Models with a Shared Encoder and Multi-Decoder Architecture","created":"2025-06-12","cited_by_count":0,"area":null},{"id":"2509.21399","title":"Downscaling climate projections to 1 km with single-image super resolution","created":"2025-09-24","cited_by_count":0,"area":null},{"id":"2511.07098","title":"Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization","created":"2025-11-10","cited_by_count":0,"area":null},{"id":"2512.13753","title":"Time-aware UNet and super-resolution deep residual networks for spatial downscaling","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2602.13416","title":"High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator","created":"2026-02-13","cited_by_count":0,"area":null},{"id":"2603.00109","title":"CASCADE: Cross-scale Advective Super-resolution with Climate Assimilation and Downscaling Evolution","created":"2026-02-18","cited_by_count":0,"area":null},{"id":"2604.03341","title":"Generative Unsupervised Downscaling of Climate Models via Domain Alignment: Application to Wind Fields","created":"2026-04-03","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":"2605.12762","title":"Multi-Quantile Regression for Extreme Precipitation Downscaling","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2607.05645","title":"Domain-Adaptive Climate Downscaling Under Temporal Distribution Shift","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.18877","title":"Physics-Informed Super-Resolution of Atmospheric Data","created":"2026-07-21","cited_by_count":0,"area":null},{"id":"2608.05981","title":"Temporal Bridges for Spatial Resolution: Enhancing Climate Data Super-Resolution with Bidirectional Alignment","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2608.10022","title":"Deep Learning-Based Statistical Downscaling of Sea Surface Temperature Using a Residual Corrective Neural Network","created":"2026-08-09","cited_by_count":0,"area":null},{"id":"2608.14652","title":"Pushing the Limits of High-Resolution Weather Forecasting through Data Scaling","created":"2026-07-31","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":"2609.29383","title":"Lightweight Probabilistic Downscaling from a Deterministic Base Model","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2610.03757","title":"Generalizable Neural Downscaling of Earth System Model Wind Fields via Continuous Dynamics Modeling","created":"2026-09-26","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}