Overview
Borey represents a high-resolution regional modeling and operational forecasting system specifically designed for the Barents and Kara Seas. This integrated system generates daily forecasts extending to 72 hours and encompasses atmospheric, oceanic, sea ice, and wave dynamics. It utilizes approximately 3–6 km grids for its simulations. An accompanying hourly hindcast dataset, spanning from August 2015 to August 2023, has been developed as part of this initiative.
Research Context
The Barents and Kara Seas are a focus for regional marine studies, necessitating detailed environmental data. The development of Borey aims to provide a comprehensive, aligned dataset of atmospheric, oceanic, sea ice, and wave fields. This dataset serves as a baseline for evaluating the operational forecasting system's performance and is intended to complement observation-constrained products. The initiative responds to the need for high-resolution modeling in these specific polar regions, which can inform marine research.
Approach
The Borey system integrates three distinct modeling components:
- **Atmosphere:** Modeled using the Weather Research and Forecasting (WRF) model.
- **Ocean and Sea Ice:** Modeled using the Nucleus for European Modelling of the Ocean – Sea Ice Model version 3 (NEMO-SI3) coupled system.
- **Waves:** Modeled using the Wave Watch III (WW3) model.
These models are combined within a unified model chain, operating on grids with resolutions ranging from approximately 3 to 6 kilometers. The system generates daily forecasts with a lead time of up to 72 hours.
In addition to the operational forecasting capability, Borey has produced an hourly hindcast dataset. This archive covers surface conditions from August 2015 to August 2023. The hindcast provides aligned fields for atmosphere, ocean, sea ice, and waves, structured for regional marine studies.
Evaluation of the system involved comparisons with observational data and observation-based products. This comparative analysis focused on assessing the model's ability to capture variability in specific environmental parameters and the stability of its skill over the forecast period.
Findings
Evaluations of the Borey system indicated several key characteristics:
- The system demonstrates an ability to capture a significant portion of the variability in near-surface atmospheric conditions.
- Borey also captures much of the variability observed in ocean temperature within the Barents and Kara Seas.
- The skill of the evaluated WRF, NEMO, and SI3 forecasts shows only modest changes across the three-day (72-hour) forecasting window, suggesting a relatively consistent performance level over this period.
Key Limitations Mentioned by Researchers
The research identified specific limitations within the Borey system:
- **Persistent Errors:** The primary limitations are characterized as persistent errors rather than rapidly growing errors over the forecast duration.
- **Sea Surface Temperature:** The model generally produces sea surface temperatures that are too cold compared to observations.
- **Sea Ice Concentration and Occurrence:** During periods of seasonal retreat, Borey tends to overestimate sea ice concentration and the occurrence of sea ice.
- **Significant Wave Height:** The system consistently underestimates significant wave height.
Potential Applications
The Borey system and its accompanying hindcast dataset are envisioned for several applications:
- **Regional Analysis:** The hourly surface fields, native grids, and provenance information can be used for detailed regional environmental analysis.
- **Model Development:** The dataset provides a resource for the development and refinement of new regional models.
- **Data-Driven Forecasting Research:** The validation outputs, along with the core data, can support carefully evaluated research into data-driven forecasting methodologies.
- **Data Assimilation Research:** The dataset offers potential for research in data assimilation techniques, which involve integrating observational data into models to improve accuracy.
The planned public release of the Borey data aims to facilitate these applications by providing access to the detailed outputs.