Image de couverture de livre

Generative climate downscaling enables high-resolution compound risk assessment by preserving multivariate dependencies

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kutsuna, Takuro, Ishizaki, Noriko N., Oyama, Norihiro, Yoshida, Hiroaki
Format:	Preprint
Publié:	2026
Sujets:	Atmospheric and Oceanic Physics Machine Learning Applications
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazards
par: Nath, Shruti, et autres
Publié: (2024)

EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules
par: Schillinger, Maybritt, et autres
Publié: (2025)

Uncertainty in wind and solar projections depends on global and regional climate models
par: Effenberger, Nina, et autres
Publié: (2026)

Predictability of climate tipping focusing on the internal variability of the Earth system
par: Kubo, Amane, et autres
Publié: (2024)

Changes over time in the 100-year return value of climate model variables
par: Leach, Callum, et autres
Publié: (2025)

Dynamical-generative downscaling of climate model ensembles
par: Lopez-Gomez, Ignacio, et autres
Publié: (2024)

Global Climate Model Bias Correction Using Deep Learning
par: Pasula, Abhishek, et autres
Publié: (2025)

Concept drift of simple forecast models as a diagnostic of low-frequency, regime-dependent atmospheric reorganisation
par: Zhou, Haokun
Publié: (2025)

The impact of the spatial resolution of wind data on multi-decadal wind power forecasts in Germany
par: Morelli, Sofia
Publié: (2024)

Generative Unsupervised Downscaling of Climate Models via Domain Alignment: Application to Wind Fields
par: Keisler, Julie, et autres
Publié: (2026)

Diving Deep: Forecasting Sea Surface Temperatures and Anomalies
par: Ning, Ding, et autres
Publié: (2025)

Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data
par: Lehmann, Nils, et autres
Publié: (2024)

A Study on Monthly Marine Heatwave Forecasts in New Zealand: An Investigation of Imbalanced Regression Loss Functions with Neural Network Models
par: Ning, Ding, et autres
Publié: (2025)

A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS)
par: Nakamura, Jennifer, et autres
Publié: (2026)

Spatiotemporal Forecasting in Climate Data Using EOFs and Machine Learning Models: A Case Study in Chile
par: Herrera, Mauricio, et autres
Publié: (2025)

Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning
par: Horat, Nina, et autres
Publié: (2024)

Long-term foehn reconstruction combining unsupervised and supervised learning
par: Stauffer, Reto, et autres
Publié: (2024)

Data-Driven Probabilistic Air-Sea Flux Parameterization
par: Wu, Jiarong, et autres
Publié: (2025)

Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification
par: Hart, J., et autres
Publié: (2024)

Uncertainty quantification for data-driven weather models
par: Bülte, Christopher, et autres
Publié: (2024)

Probabilistic measures afford fair comparisons of AIWP and NWP model output
par: Gneiting, Tilmann, et autres
Publié: (2025)

Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments
par: Chandra, Rohitash, et autres
Publié: (2024)

Validating Climate Models with Spherical Convolutional Wasserstein Distance
par: Garrett, Robert C., et autres
Publié: (2024)

Reconstructing Global Daily CO2 Emissions via Machine Learning
par: Li, Tao, et autres
Publié: (2024)

Efficient modeling of sub-kilometer surface wind with Gaussian processes and neural networks
par: Zanetta, Francesco, et autres
Publié: (2024)

Score-based generative emulation of impact-relevant Earth system model outputs
par: Bouabid, Shahine, et autres
Publié: (2025)

On the Extrapolation of Generative Adversarial Networks for downscaling precipitation extremes in warmer climates
par: Rampal, Neelesh, et autres
Publié: (2024)

Pattern change of precipitation extremes in Bear Island
par: Ray, Arnob, et autres
Publié: (2023)

From Winter Storm Thermodynamics to Wind Gust Extremes: Discovering Interpretable Equations from Data
par: Tam, Frederick Iat-Hin, et autres
Publié: (2025)

Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS)
par: Lerch, Sebastian, et autres
Publié: (2025)

Predicting Coastal Water Levels in the Context of Climate Change Using Kolmogorov-Zurbenko Time Series Analysis Methods
par: Loneck, Barry, et autres
Publié: (2024)

Analysis of Full-scale Riser Responses in Field Conditions Based on Gaussian Mixture Model
par: Wu, Jie, et autres
Publié: (2024)

Comparison of Model Output Statistics and Neural Networks to Postprocess Wind Gusts
par: Primo, Cristina, et autres
Publié: (2024)

Probabilistic modelling of atmosphere-surface coupling with a copula Bayesian network
par: Mack, Laura, et autres
Publié: (2025)

Physics-based vs. data-driven 24-hour probabilistic forecasts of precipitation for northern tropical Africa
par: Walz, Eva-Maria, et autres
Publié: (2024)

Estimating changes in extreme quantiles over time, applied to desert temperatures
par: Leach, Callum, et autres
Publié: (2026)

Possible, Yes; Ignorant, Perhaps: A Scorecard for Possibilistic Forecasts
par: Lawson, John R.
Publié: (2026)

Bayesian Inference for Stochastic Predictions of Non-Gaussian Systems with Applications in Climate Change
par: Tong, Yunjin
Publié: (2024)

Modeling the Sea-Level Change from U.S. Vehicle Emissions
par: Wong, Tony
Publié: (2026)

A Multi-Tiered Bayesian Network Coastal Compound Flood Analysis Framework
par: Liu, Ziyue, et autres
Publié: (2025)