Predicting ocean conditions is crucial for managing environmental challenges and economic activities like shipping. A new study in Ocean Modeling found that combining data from both the ocean and atmosphere can lead to more accurate forecasts, even in complex environments like the Red Sea. This new approach could lead to more refined and reliable prediction systems, which would have environmental and economic benefits.
The researchers created simulations of different ocean and atmosphere conditions using a specialized computer model called the Scripps–KAUST Regional Integrated Prediction System (SKRIPS) that integrates both ocean and weather data from satellite and ship-based observations. The results show that SKRIPS provided better predictions than models that only used ocean data. The Climate Program Office’s Climate Variability & Predictability (CVP) program partially funded the authors of this study through multiple grants aimed at improving our understanding of processes in the tropical Pacific Ocean.
For more information, contact Clara Deck.
