Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Laure Zanna"'
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 19, Pp n/a-n/a (2024)
Abstract Regional patterns of sea level rise are affected by a range of factors including glacial melting, which has occurred in recent decades and is projected to increase in the future, perhaps dramatically. Previous modeling studies have typically
Externí odkaz:
https://doaj.org/article/f2fdf990f9fd424a93e898ce14b0038a
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 7, Pp n/a-n/a (2024)
Abstract Mesoscale eddies modulate the stratification, mixing, tracer transport, and dissipation pathways of oceanic flows over a wide range of spatiotemporal scales. The parameterization of buoyancy and momentum fluxes associated with mesoscale eddi
Externí odkaz:
https://doaj.org/article/2a660ef041f34e4ca057d7669940568b
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 3, Pp n/a-n/a (2024)
Abstract In this study, we perform online sea ice bias correction within a Geophysical Fluid Dynamics Laboratory global ice‐ocean model. For this, we use a convolutional neural network (CNN) which was developed in a previous study (Gregory et al.,
Externí odkaz:
https://doaj.org/article/c1f2f3c4aff14bcaac00ef9cebfba463
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 21, Pp n/a-n/a (2023)
Abstract The use of coarse resolution and strong grid‐scale dissipation has prevented global ocean models from simulating the correct kinetic energy level. Recently parameterizing energy backscatter has been proposed to energize the model simulatio
Externí odkaz:
https://doaj.org/article/8c49d6606e8b4cb78c164ab07f033090
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 22, Pp n/a-n/a (2023)
Abstract The Ocean Heat Uptake Efficiency (OHUE) quantifies the ocean's ability to mitigate surface warming through deep heat sequestration. Despite its importance, the main controls on OHUE, and on its two‐fold spread across contemporary climate m
Externí odkaz:
https://doaj.org/article/de302d901c72485fa627dedfffa7a356
Autor:
Cheng Zhang, Pavel Perezhogin, Cem Gultekin, Alistair Adcroft, Carlos Fernandez‐Granda, Laure Zanna
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 10, Pp n/a-n/a (2023)
Abstract We address the question of how to use a machine learned (ML) parameterization in a general circulation model (GCM), and assess its performance both computationally and physically. We take one particular ML parameterization (Guillaumin & Zann
Externí odkaz:
https://doaj.org/article/468790954e424dcba55f56671134727f
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 10, Pp n/a-n/a (2023)
Abstract Vertical mixing parameterizations in ocean models are formulated on the basis of the physical principles that govern turbulent mixing. However, many parameterizations include ad hoc components that are not well constrained by theory or data.
Externí odkaz:
https://doaj.org/article/9036ab3dec24482f8f66fffd9e1d8b77
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 10, Pp n/a-n/a (2023)
Abstract Subgrid parameterizations of mesoscale eddies continue to be in demand for climate simulations. These subgrid parameterizations can be powerfully designed using physics and/or data‐driven methods, with uncertainty quantification. For examp
Externí odkaz:
https://doaj.org/article/ab24e754d5fd4e2c9bd283afe4d7f57a
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 10, Pp n/a-n/a (2023)
Abstract Data assimilation is often viewed as a framework for correcting short‐term error growth in dynamical climate model forecasts. When viewed on the time scales of climate however, these short‐term corrections, or analysis increments, can cl
Externí odkaz:
https://doaj.org/article/dda1c37463534851b139ebf9aba0159e
Publikováno v:
Environmental Data Science, Vol 2 (2023)
Studies agree on a significant global mean sea level rise in the 20th century and its recent 21st century acceleration in the satellite record. At regional scale, the evolution of sea level probability distributions is often assumed to be dominated b
Externí odkaz:
https://doaj.org/article/9b3ba7eff10a47bbb31271625e3b265f