Join us for an in-person, hands-on exploration of ocean state estimation in the beautiful coastal setting of the Asilomar Conference Grounds in Pacific Grove, California. The ECCO Summer School program will blend lectures, interactive tutorials, peer-to-peer learning, and collaborative team projects to provide a deep dive into the principles, products, applications of ocean state estimation. Taught by leading experts, the summer school program is designed for 20-30 graduate students, postdocs, and early-career scientists eager to advance their understanding of ocean and climate science. There is no registration fee and housing and meals are provided for all accepted applicants. Limited travel support is also available. Don’t miss this opportunity to learn, collaborate, and engage with the cutting edge of ocean research!
The people on this page have helped organize the summer school. You'll find a few specializations listed per person if you're wondering who to reach out to during the event!
Jean-Michel is a research scientist at MIT and a member of the ECCO consortium. He has a background in ocean state estimation and the development of the MITgcm model.
Moss Landing Marine Laboratories/San Jose State University
Dustin is a research scientist at MLML and a member of the ECCO consortium. He has a background in ocean/ice interaction, biogeophysical modelling and ocean state estimation.
Shreyas mainly works on estimating paleoclimate using data assimilation for the Greenland ice sheet. He also has a background in developing and using open-source adjoint models for ice sheet and ocean models.
Matthew is a physical oceanographer at Scripps Institution of Oceanography. He has a background in ocean circulation and dynamics, ocean modeling and state estimation, remote sensing, and an expert in the dynamics of the Southern Ocean.
Dimitris is a research scientist at JPL and a member of the ECCO consortium. He has a background in ocean dynamics, numerical coupled ocean-atmosphere-ice modeling, and the development of the MITgcm model.
An is a research scientist in the Computational Research in Ice and Ocean Systems Group at the University of Texas at Austin. An has a background in coupled ocean state estimation, numerical modeling, Arctic oceanography, and in situ observations.
Helen is a research scientist in the Computational Research in Ice and Ocean Systems Group at the University of Texas at Austin. Helen has a background in ocean circulation, ocean observation system design, and numerical ocean modeling.
Moss Landing Marine Laboratories/San Jose State University
Mike is a professor at the Computational Oceanography lab at MLML. He has a background in ocean/ice-sheet interaction, ocean numerical modelling, in situ observations, and remote sensing.
