Putting it all together: Adding value to the global ocean and climate observing systems with complete self-consistent ocean state and parameter estimates.

dc.contributor.author Heimbach, Patrick
dc.contributor.author Fukumori, Ichiro
dc.contributor.author Hill, Christopher N.
dc.contributor.author Ponte, Rui M.
dc.contributor.author Stammer, Detlef
dc.contributor.author Wunsch, Carl
dc.contributor.author Campin, Jean-Michel
dc.contributor.author Cornuelle, Bruce D.
dc.contributor.author Fenty, Ian
dc.contributor.author Forget, Gael
dc.contributor.author Kohl, Armin
dc.contributor.author Mazloff, Matthew R.
dc.contributor.author Menemenlis, Dimitris
dc.contributor.author Nguyen, An T.
dc.contributor.author Piecuch, Christopher G.
dc.contributor.author Trossman, David S.
dc.contributor.author Verdy, Ariane
dc.contributor.author Wang, Ou
dc.contributor.author Zhang, Hong
dc.date.accessioned 2019-04-23T15:47:24Z
dc.date.available 2019-04-23T15:47:24Z
dc.date.issued 2019-03-04
dc.description © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Heimbach, P., Fukumori, I., Hills, C. N., Ponte, R. M., Stammer, D., Wunsch, C., Campin, J., Cornuelle, B., Fenty, I., Forget, G., Koehl, A., Mazloff, M., Menemenlis, D., Nguyen, A. T., Piecuch, C., Trossman, D., Verdy, A., Wang, O., & Zhang, H. Putting it all together: Adding value to the global ocean and climate observing systems with complete self-consistent ocean state and parameter estimates. Frontiers in Marine Science, 6 (2019):55, doi:10.3389/fmars.2019.00055. en_US
dc.description.abstract In 1999, the consortium on Estimating the Circulation and Climate of the Ocean (ECCO) set out to synthesize the hydrographic data collected by the World Ocean Circulation Experiment (WOCE) and the satellite sea surface height measurements into a complete and coherent description of the ocean, afforded by an ocean general circulation model. Twenty years later, the versatility of ECCO's estimation framework enables the production of global and regional ocean and sea-ice state estimates, that incorporate not only the initial suite of data and its successors, but nearly all data streams available today. New observations include measurements from Argo floats, marine mammal-based hydrography, satellite retrievals of ocean bottom pressure and sea surface salinity, as well as ice-tethered profiled data in polar regions. The framework also produces improved estimates of uncertain inputs, including initial conditions, surface atmospheric state variables, and mixing parameters. The freely available state estimates and related efforts are property-conserving, allowing closed budget calculations that are a requisite to detect, quantify, and understand the evolution of climate-relevant signals, as mandated by the Coupled Model Intercomparison Project Phase 6 (CMIP6) protocol. The solutions can be reproduced by users through provision of the underlying modeling and assimilation machinery. Regional efforts have spun off that offer increased spatial resolution to better resolve relevant processes. Emerging foci of ECCO are on a global sea level changes, in particular contributions from polar ice sheets, and the increased use of biogeochemical and ecosystem data to constrain global cycles of carbon, nitrogen and oxygen. Challenges in the coming decade include provision of uncertainties, informing observing system design, globally increased resolution, and moving toward a coupled Earth system estimation with consistent momentum, heat and freshwater fluxes between the ocean, atmosphere, cryosphere and land. en_US
dc.description.sponsorship Major support for ECCO is provided by NASA's Physical Oceanography program via a contract to JPL/Caltech, with additional support through NASA's Modeling, Analysis and Prediction program, the Cryosphere Science program, and the Computational Modeling and Cyberinfrastructure program. Supplemental funding was obtained throughout the years via standard grants to individual team members from NSF, NOAA, and ONR. en_US
dc.identifier.citation Heimbach, P., Fukumori, I., Hills, C. N., Ponte, R. M., Stammer, D., Wunsch, C., Campin, J., Cornuelle, B., Fenty, I., Forget, G., Koehl, A., Mazloff, M., Menemenlis, D., Nguyen, A. T., Piecuch, C., Trossman, D., Verdy, A., Wang, O., & Zhang, H. (2019). Putting it all together: Adding value to the global ocean and climate observing systems with complete self-consistent ocean state and parameter estimates. Frontiers in Marine Science, 6, 55. en_US
dc.identifier.doi 10.3389/fmars.2019.00055
dc.identifier.uri https://hdl.handle.net/1912/24065
dc.publisher Frontiers Media en_US
dc.relation.uri https://doi.org/10.3389/fmars.2019.00055
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.subject ECCO en_US
dc.subject Global ocean inverse modeling en_US
dc.subject Optimal state and parameter estimation en_US
dc.subject Adjoint method en_US
dc.subject Ocean observations en_US
dc.subject Coupled Earth system data assimilation en_US
dc.subject Ocean reanalysis en_US
dc.subject Global ocean circulation en_US
dc.title Putting it all together: Adding value to the global ocean and climate observing systems with complete self-consistent ocean state and parameter estimates. en_US
dc.type Article en_US
dspace.entity.type Publication
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