Cover Image

The impact of the spatial resolution of wind data on multi-decadal wind power forecasts in Germany

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Morelli, Sofia
Format:	Preprint
Published:	2024
Subjects:	Atmospheric and Oceanic Physics Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Post-processing of wind gusts from COSMO-REA6 with a spatial Bayesian hierarchical extreme value model
by: Ertz, Philipp, et al.
Published: (2025)

Uncertainty in wind and solar projections depends on global and regional climate models
by: Effenberger, Nina, et al.
Published: (2026)

Machine learning-based correlation analysis of decadal cyclone intensity with sea surface temperature: data and tutorial
by: Wu, Jingyang, et al.
Published: (2025)

Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6
by: Effenberger, Nina, et al.
Published: (2024)

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

Efficient modeling of sub-kilometer surface wind with Gaussian processes and neural networks
by: Zanetta, Francesco, et al.
Published: (2024)

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

The future of offshore wind power production: wake and climate impacts
by: Warder, Simon C, et al.
Published: (2024)

An extreme value method to study decadal hurricane wind trends
by: Payez, Alexandre, et al.
Published: (2025)

MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazards
by: Nath, Shruti, et al.
Published: (2024)

Functional data decomposition reveals unexpectedly strong soil moisture-precipitation coupling over the Great Plains
by: Gao, Yifu, et al.
Published: (2025)

WOMBAT v2.S: A Bayesian inversion framework for attributing global CO$_2$ flux components from multiprocess data
by: Jacobson, Josh, et al.
Published: (2025)

WindDragon: Enhancing wind power forecasting with Automated Deep Learning
by: Keisler, Julie, et al.
Published: (2024)

Dynamics of wind turbine operational states
by: Bette, Henrik M., et al.
Published: (2023)

Predicting Coastal Water Levels in the Context of Climate Change Using Kolmogorov-Zurbenko Time Series Analysis Methods
by: Loneck, Barry, et al.
Published: (2024)

Analysis of Full-scale Riser Responses in Field Conditions Based on Gaussian Mixture Model
by: Wu, Jie, et al.
Published: (2024)

Comparison of Model Output Statistics and Neural Networks to Postprocess Wind Gusts
by: Primo, Cristina, et al.
Published: (2024)

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

Predictability of climate tipping focusing on the internal variability of the Earth system
by: Kubo, Amane, et al.
Published: (2024)

scores: A Python package for verifying and evaluating models and predictions with xarray
by: Leeuwenburg, Tennessee, et al.
Published: (2024)

Pattern change of precipitation extremes in Bear Island
by: Ray, Arnob, et al.
Published: (2023)

From Winter Storm Thermodynamics to Wind Gust Extremes: Discovering Interpretable Equations from Data
by: Tam, Frederick Iat-Hin, et al.
Published: (2025)

Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS)
by: Lerch, Sebastian, et al.
Published: (2025)

Changes over time in the 100-year return value of climate model variables
by: Leach, Callum, et al.
Published: (2025)

Probabilistic modelling of atmosphere-surface coupling with a copula Bayesian network
by: Mack, Laura, et al.
Published: (2025)

Estimating changes in extreme quantiles over time, applied to desert temperatures
by: Leach, Callum, et al.
Published: (2026)

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

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

A Multi-Tiered Bayesian Network Coastal Compound Flood Analysis Framework
by: Liu, Ziyue, et al.
Published: (2025)

Predicting temperatures in Brazilian states capitals via Machine Learning
by: da Silva, Sidney T., et al.
Published: (2025)

Capability demonstration of a JEDI-based system for TEMPO assimilation: system description and evaluation
by: Abdi-Oskouei, Maryam, et al.
Published: (2025)

Causal Feedback Discovery using Convergence Cross Mapping on Sea Ice Data
by: Nji, Francis, et al.
Published: (2025)

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

A generalisation of the signal-to-noise ratio using proper scoring rules
by: Bröcker, Jochen, et al.
Published: (2025)

Quantifying the Effect of a Parallax Correcting Algorithm for Passive Microwave Satellite Precipitation Retrievals across the Continental United States
by: Monsalve, Andres F., et al.
Published: (2025)

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

Probabilistic storyline attribution using machine learning
by: Loer, Frieder, et al.
Published: (2026)

High-resolution vertical wind and turbulence measurements with quadcopter uncrewed aerial systems: wind tunnel calibration and field validation
by: Kistner, Johannes, et al.
Published: (2026)

Uncertainty estimation of machine learning spatial precipitation predictions from satellite data
by: Papacharalampous, Georgia, et al.
Published: (2023)

The spatial organization of wind turbine wakes
by: Lengyel, Janka, et al.
Published: (2025)