https://hdl.handle.net/1721.1/30596 2026-04-08T22:22:15Z https://hdl.handle.net/1721.1/130943 Momentum Budget Evaluation in ASTE Release 1 Part I: Full momentum budget Pillar, Helen; Nguyen, An; Campin, Jean-Michel; Heimbach, Patrick The purpose of these notes is to describe how to perform accurate momentum budget analyses using output from the first release of the Arctic and Subpolar gyre sTate Estimate [ASTE R1 Nguyen et al., JAMES, 2021]. The goal of these analyses is to partition, at the grid-point level, the rate of change of momentum into all of its contributing terms in the momentum equation, such as wind and Coriolis forces, horizontal advection, resolved diffusion of momentum, parameterized diffusion of various kinds, etc. 2021-06-15T00:00:00Z https://hdl.handle.net/1721.1/120472 Data sets used in ECCO Version 4 Release 3 Fukumori, Ichiro; Fenty, Ian; Forget, Gael; Heimbach, Patrick; King, Charmaine; Nguyen, An T.; Piecuch, Christopher; Ponte, Rui M.; Vinogradov, Nadya; Wang, Ou The latest state estimate produced by the consortium for Estimating the Circulation and Climate of the Ocean (ECCO Version 4 Release 3 or V4R3 for short) is constrained by a variety of satellite and in situ ocean observations. Many of these data sets (e.g., satellite altimetry, sea surface temperature, in situ hydrography) are extensions of those used in earlier Version 4 releases described by Forget et al. (2015, 2016), but others (regional and global ocean mass from satellite gravity, satellite surface salinity, Arctic temperature and salinity profiles, sea-ice concentration, and global mean sea level) are newly introduced in V4R3. All data sets used in V4R3 are available with the solution output at ftp://ecco.jpl.nasa.gov/Version4/Release3/. A brief description of the data sets and the main processing applied to them is provided in this document, to complement full details of the V4R3 estimate discussed in Fukumori et al. (2017). Document describing observational input data sets for ECCO version 4. 2019-02-18T00:00:00Z https://hdl.handle.net/1721.1/111605 Cloud-based solutions for distributed climate modeling Vinogradova, Nadya; Shiffer, Mark; Forget, Gael; Hill, Christopher N. A new, cloud-based framework for climate modeling is introduced allowing to run climate models at the “click of a button”. The framework aims to simplify dissemination of climate models, increase transparency of modeling activities, expand their user base, and facilitate broader research collaboration. ECCO in the cloud - overview 2017-09-19T00:00:00Z https://hdl.handle.net/1721.1/111094 A Note on Practical Evaluation of Budgets in ECCO Version 4 Release 3 Piecuch, Christopher G. An outline and technical description is provided for evaluating tracer budgets (heat, salt, volume) offline using available monthly ECCOv4 model diagnostic output. Methods described here are intended for analysis of model output on its native spatial grid. 2017-09-01T00:00:00Z https://hdl.handle.net/1721.1/110380 ECCO Version 4 Release 3 Fukumori, Ichiro; Wang, Ou; Fenty, Ian; Forget, Gael; Heimbach, Patrick; Ponte, Rui M. This note provides a brief synopsis of ECCO Version 4 Release 3, an updated edition to the global ocean state estimate described by Forget et al. (2015b, 2016), covering the period 1992-2015. This note provides a brief synopsis of ECCO Version 4 Release 3. 2017-06-29T00:00:00Z https://hdl.handle.net/1721.1/109847 A Twenty-Year Dynamical Oceanic Climatology: 1994-2013. Part 2: Velocities, Property Transports, Meteorological Variables, Mixing Coefficients The ECCO Consortium The World Ocean Circulation Experiment (WOCE) was created to produce the first truly climatologically useful picture of the ocean circulation and its variability. This goal is addressed here from the state estimate of the Estimating the Circulation and Climate of the Ocean (ECCO) consortium, which uses almost all of the data obtained during WOCE and its aftermath along with the much improved general circulation modeling capabilities. A dynamically and data-consistent, state estimate is available depicting the ocean and its ice-cover over a 24-year time-span, globally, from the sea surface to the sea floor. The resulting time-dependent 20-year long climatology includes temperature, salinity, surface elevation, bottom pressure, sea-ice, and three components of velocity. Accompanying the state estimate are modified estimates of meteorological forcing-fields, ocean interior mixing coefficients, and initial conditions. Much spatial structure persists through the two-decade averaging. Results here are primarily pictorial in nature, intended to give the wider community a sense of what is now available and useful and where more detailed analysis would be fruitful. An extended reference list is included. This is Part 2 of a series of preprints describing a twenty-year dynamical oceanic climatology derived from ECCO version 4, release 3. The associated fields will be made available on the ECCO data server (http://ecco-group.org). 2017-06-14T00:00:00Z https://hdl.handle.net/1721.1/107613 A Twenty-Year Dynamical Oceanic Climatology: 1994-2013. Part 1: Active Scalar Fields: Temperature, Salinity, Dynamic Topography, Mixed-Layer Depth, Bottom Pressure. The ECCO Consortium The World Ocean Circulation Experiment (WOCE) was created to produce the first climatologically useful picture of the ocean circulation and its low-frequency variability. This goal is addressed here from the state estimate of the Estimating the Circulation and Climate of the Ocean (ECCO) consortium, which uses almost all of the data obtained during WOCE and its aftermath along with the much improved general circulation modeling capabilities. A dynamically and data-consistent, time-evolving, state estimate is available depicting the ocean and its ice-cover over a 23-year time-span, globally, from the sea surface to the sea floor. The resulting time-dependent 20-year long climatology includes temperature, salinity, surface elevation, bottom pressure, sea-ice, and three components of velocity. Accompanying the state estimate are modified estimates of meteorological forcing-fields, ocean interior mixing coefficients, and initial conditions. Much spatial structure persists through the two decade averaging. Results here are primarily pictorial in nature, intended to give the wider community a sense of what is now available and useful and where more detailed analysis would be fruitful. An extended reference list is included. This preprint describes a twenty-year dynamical oceanic climatology derived from ECCO version 4, release 3. The associated fields will be made available on the ECCO data server (http://ecco-group.org). 2017-03-20T00:00:00Z https://hdl.handle.net/1721.1/103367 ECCO Version 4: Contents And Usage Forget, Gael This presentation is an overview of ECCO version 4 that was given at the 2016 ECCO meeting (MIT; May 16-18, 2016). It reviews the ECCO v4 components and online locations (ECCO v4 release 2 directories, analysis software, model setup, global grids, and documentations). It then illustrates budget analyses, model-data comparisons, and model sensitivity experiments (forward and adjoint) that are readily enabled by ECCO v4 r2 (available online). 2016-06-28T00:00:00Z https://hdl.handle.net/1721.1/102062 ECCO Version 4: Second Release Forget, Gael; Campin, Jean-Michel; Heimbach, Patrick; Hill, Christopher N.; Ponte, Rui M.; Wunsch, Carl The purpose of this note is twofold: (1) document the second release of ECCO version 4 state estimates (ECCO v4-r2); (2) provide a citable identifier to distinguish it from the previous release (ECCO v4-r1; Forget et al 2015). 2016-03-31T00:00:00Z https://hdl.handle.net/1721.1/30598 Adjoint model code generation via automatic differentiation and its application to ocean/sea-ice state estimation Heimbach, Patrick; Menemenlis, Dimitris Material presented during a 2-day short course on data assimilation for sea-ice modelers at WHOI. The course was preceded by an Arctic Ocean Model Intercomparison Project (AOMIP) meeting, and followed by the AMS 7th Conference on Polar Meteorology and Oceanography (all at WHOI). 2006-01-05T15:47:06Z