Book contents
- Sea Ice Analysis and Forecasting
- Sea Ice Analysis and Forecasting
- Copyright page
- Dedication
- Contents
- Contributors
- Preface
- Acknowledgements
- Abbreviations
- 1 Introduction
- 2 Sea Ice Physics and Modelling
- 3 Sea Ice Observations
- 4 Sea Ice Data Assimilation
- 5 Automated Sea Ice Prediction Systems
- 6 System Evaluation
- 7 Current Ice Services and Their Expected Evolution
- Index
- References
5 - Automated Sea Ice Prediction Systems
Published online by Cambridge University Press: 12 October 2017
Book contents
- Sea Ice Analysis and Forecasting
- Sea Ice Analysis and Forecasting
- Copyright page
- Dedication
- Contents
- Contributors
- Preface
- Acknowledgements
- Abbreviations
- 1 Introduction
- 2 Sea Ice Physics and Modelling
- 3 Sea Ice Observations
- 4 Sea Ice Data Assimilation
- 5 Automated Sea Ice Prediction Systems
- 6 System Evaluation
- 7 Current Ice Services and Their Expected Evolution
- Index
- References
Summary
A number of sea ice automated prediction systems are currently providing operational output to national ice service organizations. The Los Alamos CICE sea ice model is widely used in these systems but there is more variety in other areas, such as ocean forcing and model initialization. RIPS is a regional implementation of CICE that supports the CIS and includes a sophisticated 3DVar data assimilation system and a number of other innovations. GIOPS is a global ice-ocean prediction system that has been developed in close collaboration with Mercator-Ocean and satisfies a growing need in Canada for a multi-purpose global marine core service. TOPAZ is the Arctic regional component of the Copernicus Marine Environment Monitoring Service and uses the HYCOM ocean model and LIM sea ice model with an Ensemble Kalman Filter (EnKF) data assimilation system. The ACNFS/GOFS system supports the NIC and its global mandate using the CICE sea ice model and the HyCom ocean model. CanSIPS targets Canadian marine clients by providing extended range forecasts using of an global ensemble fully coupled atmosphere-ice-ocean model.
- Type
- Chapter
- Information
- Sea Ice Analysis and ForecastingTowards an Increased Reliance on Automated Prediction Systems, pp. 109 - 143Publisher: Cambridge University PressPrint publication year: 2017
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