[HTML][HTML] Max planck institute earth system model (MPI-ESM1. 2) for the high-resolution model intercomparison project (HighResMIP)
O Gutjahr, D Putrasahan, K Lohmann… - Geoscientific Model …, 2019 - gmd.copernicus.org
As a contribution towards improving the climate mean state of the atmosphere and the
ocean in Earth system models (ESMs), we compare several coupled simulations conducted …
ocean in Earth system models (ESMs), we compare several coupled simulations conducted …
Sustained ocean changes contributed to sudden Antarctic sea ice retreat in late 2016
After nearly three decades of observed increasing trends of Antarctic sea ice extent, in
September-October-November 2016, there was a dramatic decrease. Here we document …
September-October-November 2016, there was a dramatic decrease. Here we document …
The mixed-layer depth in the Ocean Model Intercomparison Project (OMIP): impact of resolving mesoscale eddies
The ocean mixed layer is the interface between the ocean interior and the atmosphere or
sea ice and plays a key role in climate variability. It is thus critical that numerical models …
sea ice and plays a key role in climate variability. It is thus critical that numerical models …
Extratropical storms induce carbon outgassing over the Southern Ocean
The strength and variability of the Southern Ocean carbon sink is a significant source of
uncertainty in the global carbon budget. One barrier to reconciling observations and models …
uncertainty in the global carbon budget. One barrier to reconciling observations and models …
Probabilistic machine learning estimation of ocean mixed layer depth from dense satellite and sparse in situ observations
The ocean mixed layer plays an important role in the coupling between the upper ocean and
atmosphere across a wide range of time scales. Estimation of the variability of the ocean …
atmosphere across a wide range of time scales. Estimation of the variability of the ocean …
Capturing missing physics in climate model parameterizations using neural differential equations
We explore how neural differential equations (NDEs) may be trained on highly resolved fluid-
dynamical models of unresolved scales providing an ideal framework for data-driven …
dynamical models of unresolved scales providing an ideal framework for data-driven …
Uncertainty quantification of ocean parameterizations: Application to the k‐profile‐parameterization for penetrative convection
Parameterizations of unresolved turbulent processes often compromise the fidelity of large‐
scale ocean models. In this work, we argue for a Bayesian approach to the refinement and …
scale ocean models. In this work, we argue for a Bayesian approach to the refinement and …
Subtropical contribution to sub‐Antarctic mode waters
Abstract Sub‐Antarctic Mode Waters (SAMW) form to the north of the Antarctic Circumpolar
Current (ACC) through deep winter mixing. SAMW connect the atmosphere with the oceanic …
Current (ACC) through deep winter mixing. SAMW connect the atmosphere with the oceanic …
Global impacts of subseasonal (< 60 day) wind variability on ocean surface stress, buoyancy flux, and mixed layer depth
Subseasonal surface wind variability strongly impacts the annual mean and subseasonal
turbulent atmospheric surface fluxes. However, the impacts of subseasonal wind variability …
turbulent atmospheric surface fluxes. However, the impacts of subseasonal wind variability …
[HTML][HTML] Comparison of ocean vertical mixing schemes in the Max Planck Institute Earth System Model (MPI-ESM1. 2)
For the first time, we compare the effects of four different ocean vertical mixing schemes on
the mean state of the ocean and atmosphere in the Max Planck Institute Earth System Model …
the mean state of the ocean and atmosphere in the Max Planck Institute Earth System Model …