[24-Oct-2019] The new release 4 extends the Version 4 estimate using additional observations. The product also incorporates improvements in modeling and estimation.
[31-May-2019] The ECCO consortium hosted a ECCO Summer School 2019two-week summer school
for graduate students and early career scientists on global ocean state estimation in support of climate research. The school, held 19-31 May 2019 at Friday Harbor Laboratories in Friday Harbor WA, introduced tools and mathematics of ocean state and parameter estimation and their application to ocean science through a mix of foundational lectures, hands-on tutorials, and projects.
[14-May-2019] Recent research indicates that global-scale seawater pathways may play less of a role in Earth's heat budget than traditionally thought. Instead, one region may be doing most of the heavy lifting.
[26-Mar-2019] Research shows that Jakobshavn Glacier - Greenland's fastest-flowing and fastest-thinning glacier for the last 20 years - has made an unexpected about-face. Using the ECCO ocean model, researchers have now traced cooler water not seen since the 1980s to a current that carries water around the southern tip of Greenland and northward along its west coast.
[10-Dec-2018] The ECCO consortium hosted a town hall at the 2018 AGU Fall Meeting in Washington, DC, to introduce the latest global ocean and sea-ice state estimate Version 4 release 3 (ECCO V4r3).
[21-Nov-2018] Carl Wunsch continues to expand his foundational framework for understanding the behavior of worldwide oceans as a whole.
[16-Feb-2018] The ECCO consortium hosted a town hall at Ocean Sciences Meeting 2018 in Portland, OR to introduce the latest global ocean and sea-ice state estimate Version 4 release 3 (ECCO V4r3). Release 3 of the ECCO state estimate synthesizes nearly all extant in-situ
and remotely-sensed ocean and sea-ice data covering the period 1992-2015, with a nominal 1-degree horizontal resolution configuration of the MIT general circulation model (MITgcm) over the entire globe.
[05-Nov-2017] The new release 3 extends the Version 4 estimate using additional observations. The product also incorporates improvements in modeling and estimation.
[19-Sep-2017] A NASA study has located the Antarctic glaciers that accelerated the fastest between 2008 and 2014 and finds that the most likely cause of their speedup is an observed influx of warm water into the bay where they're located.
[25-Aug-2017] The subpolar North Atlantic (SPNA) reversed trends in ocean heat content from warming during 1994-2004 to cooling over 2005-2015. ECCO V4r3 reveals that this reversal is the result of anomalous horizontal midlatitude gyre circulation acting on the mean temperature gradient, rather than changes in overturning circulation. Results have implications for decadal predictability.
[03-Aug-2017] A team from the NASA Advanced Supercomputing (NAS) division at Ames Research Center has developed a new visualization tool for use by researchers from the Estimating the Circulation and Climate of the Ocean (ECCO) project. The new visualization tool provides high-resolution, global views shown on a 10 by 23-foot, 128-screen hyperwall at the NAS facility and ECCO scientists are using it to discover new ocean features and their effects on the larger ocean system.
[14-Jun-2017] ECCO Version 4 has been used to calculate a uniform 20-year climatology as a time-mean over the period 1994-2013. The climatology is readily accessible as Matlab files.
[16-May-2016] The ECCO-Production and ECCO-IcES groups will hold a joint project meeting at MIT from 16-18 May 2016. A preliminary meeting agenda is now available online. Joint ECCO-Production and ECCO-IcES Meeting at MIT
[Mar-2016] As compared with the earlier release, ECCO V4r2 benefits from a few additional corrections.
[May-2015] Following the February 2014 release of a new-generaption, global, bi-decadal state estimate (ECCO Version 4, release 1), a paper has been published and highlighted in Geoscientific Model Development that provides a detailed description of the model and estimation configuration, the observational data streams, and basic properties of the solution.