Despite drastic improvements in climate model development, current simulations have difficulty capturing the interactions among different processes in the atmosphere, oceans, and ice and how they affect the Earth’s climate; this can hinder projections of temperature, rainfall, and sea level. M²LInES will be focusing on understanding these key climate processes using two types of data:
- Data from high-resolution simulation and observations.
- Data resulting from model errors, also called data assimilation increments.
Below is a representation of the physical processes that will be studied by the team:
Learn more: Come discover Pangeo Forge and how it can help us solve complex problems in climate and weather research here with Ryan Abernathey, head of big data at M²LInES.
