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:
High-resolution simulation and observations
- Atmospheric convection and clouds (O’Gorman, Mooers, Yuval) (see Atmosphere )
- Atmospheric boundary layer processes at the ocean and sea-ice interface (Gentine, Connolly) (see Atmosphere )
- Ocean mesoscale buoyancy fluxes (Balwada, Everard) (see Ocean )
- Ocean submesoscale processes (Le Sommer, Barge) (see Ocean )
- Ocean mesoscale momentum, energy and air-sea interactions (Zanna, Perezhogin) (see Ocean )
- Vertical mixing (Adcroft, Reichl, Sane) (see Ocean )
- Sea-ice heterogeneity and its influence on air-sea-ice interactions (Holland, Zampieri) (see Sea-Ice )
Data assimilation increments
Data assimilation increments or DA are data resulting from model errors. We will be working on DA from 3 distinct parts of climate models:
- Atmospheric (Berner, Chapman)
- Ocean (Adcroft, Lu, Du)
- Sea-Ice (Adcroft, Bushuk, Gregory)
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.
