Buizza (2025) The THORPEX interactive grand global ensemble and subseasonal-to-seasonal ensembles
Identification
- Journal: Elsevier eBooks
- Year: 2025
- Date: 2025-11-14
- Authors: Roberto Buizza
- DOI: 10.1016/b978-0-443-31538-1.00001-4
Research Groups
- Scuola Universitaria Superiore Sant'Anna, Pisa, Italy
Short Summary
This chapter defines key terms and concepts related to global medium-range, subseasonal, and seasonal prediction, emphasizing the use of Earth-system models and ensembles for reliable and accurate forecasts.
Objective
- To define key terms and discuss global medium-range, subseasonal, and seasonal prediction, and how ensembles can improve forecast reliability and accuracy.
Study Configuration
- Spatial Scale: Global; Earth-system models simulate atmosphere (up to 80 km height), land, ocean, and sea-ice components.
- Temporal Scale: Medium-range, subseasonal, and seasonal prediction.
Methodology and Data
- Models used: Earth-system models simulating atmosphere, land surface, ocean waves and dynamical currents, and sea ice. Ensembles (ENSs) are used for prediction.
- Data sources: Not explicitly detailed in this excerpt, but the context implies initial-value problems for prediction.
Main Results
- Global medium-range, subseasonal, and seasonal prediction is an initial-value problem requiring Earth-system models.
- Earth-system models for these predictions typically include atmosphere (up to 80 km), land surface, ocean waves and currents, and sea ice components.
- Ensembles are crucial for providing reliable and accurate forecasts across these temporal scales.
Contributions
- Provides a foundational understanding and clear definitions of key terms for global medium-range, subseasonal, and seasonal prediction.
- Highlights the essential components of Earth-system models and the role of ensembles in these prediction systems.
Funding
- Not specified in the provided text.
Citation
@article{Buizza2025THORPEX,
author = {Buizza, Roberto},
title = {The THORPEX interactive grand global ensemble and subseasonal-to-seasonal ensembles},
journal = {Elsevier eBooks},
year = {2025},
doi = {10.1016/b978-0-443-31538-1.00001-4},
url = {https://doi.org/10.1016/b978-0-443-31538-1.00001-4}
}
Original Source: https://doi.org/10.1016/b978-0-443-31538-1.00001-4