Imagen de Portada

Generative AI-Downscaling of Large Ensembles Project Unprecedented Future Droughts

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lewis, Hamish, Rampal, Neelesh, Gibson, Peter B., Harrington, Luke J., Holgate, Chiara M., Ukkola, Anna, Maher, Nicola M.
Formato:	Preprint
Publicado:	2025
Materias:	Atmospheric and Oceanic Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes
por: Rampal, Neelesh, et al.
Publicado: (2025)

On the Extrapolation of Generative Adversarial Networks for downscaling precipitation extremes in warmer climates
por: Rampal, Neelesh, et al.
Publicado: (2024)

An intercomparison of generative machine learning methods for downscaling precipitation at fine spatial scales
por: Ward-Leikis, Bryn, et al.
Publicado: (2025)

AI-Based Regional Emulation for Kilometer-Scale Dynamical Downscaling
por: Sha, Yingkai, et al.
Publicado: (2026)

Bridging CORDEX and CMIP6: Machine Learning Downscaling for Wind and Solar Energy Droughts in Central Europe
por: Effenberger, Nina, et al.
Publicado: (2025)

Climate Downscaling with Stochastic Interpolants (CDSI)
por: Larsson, Erik, et al.
Publicado: (2026)

Predicting Beyond Training Data via Extrapolation versus Translocation: AI Weather Models and Dubai's Unprecedented 2024 Rainfall
por: Sun, Y. Qiang, et al.
Publicado: (2025)

Climate Downscaling of Tropical Cyclone Intensity using Deep Learning
por: Luong, Minh-Khanh, et al.
Publicado: (2025)

EnsAI: An Emulator for Atmospheric Chemical Ensembles
por: Sitwell, Michael
Publicado: (2025)

Multi-Scale Analysis of Agricultural Drought Propagation on the Iberian Peninsula Using Non-Parametric Indices
por: Possega, M., et al.
Publicado: (2024)

Floods and Droughts in Asia, Europe, and America
por: Takahashi, Hiroshi G., et al.
Publicado: (2025)

Identifying high resolution benchmark data needs and Novel data-driven methodologies for Climate Downscaling
por: Curran, Declan, et al.
Publicado: (2024)

Rapid Climate Model Downscaling to Assess Risk of Extreme Rainfall in Bangladesh in a Warming Climate
por: Saha, Anamitra, et al.
Publicado: (2024)

30-meter Land Surface Temperature from Landsat via Progressive Self-Training Downscaling
por: Shen, Huanfeng, et al.
Publicado: (2026)

HybridOM: Hybrid Physics-Based and Data-Driven Global Ocean Modeling with Efficient Spatial Downscaling
por: Shu, Ruiqi, et al.
Publicado: (2026)

Rapid Statistical-Physical Adversarial Downscaling Reveals Bangladesh's Rising Rainfall Risk in a Warming Climate
por: Saha, Anamitra, et al.
Publicado: (2024)

Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? An Intercomparison for Temperature and Precipitation over Spain
por: González-Abad, Jose, et al.
Publicado: (2024)

Generative Diffusion-based Downscaling for Climate
por: Watt, Robbie A., et al.
Publicado: (2024)

Assessing Future Wind Energy Potential under Climate Change: The Critical Role of Multi-Model Ensembles in Robustness Assessment
por: Lira-Loarca, Andrea, et al.
Publicado: (2025)

Flow Matching for Convective-Scale Precipitation Downscaling
por: Wetherell, Tom
Publicado: (2026)

Hard-Constrained Deep Learning for Climate Downscaling
por: Harder, Paula, et al.
Publicado: (2022)

Am I Confused or Is This Confusing?: Deep Ensembles for ENSO Uncertainty Quantification
por: McAfee, Devin M., et al.
Publicado: (2025)

Physics-Constrained Adaptive Flow Matching for Climate Downscaling
por: Debeire, Kevin, et al.
Publicado: (2026)

The Australian Identification, Nowcasting and Tracking Algorithm (A.I.N.T.)
por: Brook, Jordan, et al.
Publicado: (2025)

Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
por: Mahesh, Ankur, et al.
Publicado: (2024)

Global Drought Escalation Since 2014: Multivariate Insights for Ecosystem Resilience and Water Security
por: Han, Qianqian, et al.
Publicado: (2025)

Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
por: Mahesh, Ankur, et al.
Publicado: (2024)

Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling
por: Mardani, Morteza, et al.
Publicado: (2023)

CW3E's West-WRF 200-member Ensemble
por: Monache, Luca Delle, et al.
Publicado: (2024)

Prediction of Drought and Flash Drought in Africa at the Seasonal-to-Subseasonal Scale using the Community Research Earth Digital Intelligence Twin Framework
por: Edris, Stuart, et al.
Publicado: (2026)

Projected changes in the Iberian Peninsula drought characteristics
por: Ojeda, M. García-Valdecasas, et al.
Publicado: (2024)

A Radar-Based Hail Climatology of Australia
por: Brook, Jordan P., et al.
Publicado: (2023)

A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling
por: González-Abad, Jose
Publicado: (2024)

A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation
por: Schmidt, Jonathan, et al.
Publicado: (2024)

Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models
por: Brazidec, Joffrey Dumont Le, et al.
Publicado: (2026)

MODS: Multi-source Observations Conditional Diffusion Model for Meteorological State Downscaling
por: Tu, Siwei, et al.
Publicado: (2025)

CASCADE: Cross-scale Advective Super-resolution with Climate Assimilation and Downscaling Evolution
por: Kovalenko, Alexander
Publicado: (2026)

SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland
por: Assouline, Dan, et al.
Publicado: (2026)

Longwang: Zero-Shot Global Spatiotemporal Precipitation Downscaling with a Latent Generative Prior
por: Wang, Yue, et al.
Publicado: (2026)

Ensemble reliability and the signal-to-noise paradox in large-ensemble subseasonal forecasts
por: Roberts, Christopher David, et al.
Publicado: (2024)