HAL (France)
open access
Forecasting winter wave height using decadal prediction of atmospheric indices over the Northeast Atlantic
Forecasting wave height variability on a decadal timescale is important from many perspectives, including the anticipation of coastal hazards. We propose a hybrid prediction system for forecasting winter wave height, from the multi-annual to the decadal timescales, using decadal climate predictions
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Coastal water level prediction: a comparative study of statistical and machine learning techniques for time series forecasting#316255
- Data-driven global ocean modeling for seasonal to decadal prediction#262177
- Hybrid Models for Short-Term Sea-Level Forecasting#1077754
- Downscaled climate projections of mean and extreme sea levels in the northeast Atlantic and adjacent seas#377949
- Symmetric Composition of Anisotropic Operators for Global Subseasonal-to-Seasonal Climate Forecasting#1117325
Record · ID 971278
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive