David Kamm
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View article: DINO: a diabatic model of pole-to-pole ocean dynamics to assess subgrid parameterizations across horizontal scales
DINO: a diabatic model of pole-to-pole ocean dynamics to assess subgrid parameterizations across horizontal scales Open
Climate models are limited in resolution by computational constraints. The ocean component is currently resolved at spatial scales between approximately 10 to 100 km, which is too coarse to adequately capture the mesoscale. Eddies at these…
View article: DINO: A Diabatic Model of Pole-to-Pole Ocean Dynamics to Assess Subgrid Parameterizations across Horizontal Scales
DINO: A Diabatic Model of Pole-to-Pole Ocean Dynamics to Assess Subgrid Parameterizations across Horizontal Scales Open
Climate models are limited in resolution by computational constraints. The ocean component is currently resolved at spatial scales between approximately 10 to 100 km, which is too coarse to adequately capture the mesoscale. Eddies at these…
View article: Morays-community: a framework to share reproducible hybrid Machine Learning and Ocean modeling experiments.
Morays-community: a framework to share reproducible hybrid Machine Learning and Ocean modeling experiments. Open
The combination of Machine Learning (ML) with geoscientific models has become an active area of research, but many technical challenges still remain because of the heterogeneous nature of programming languages, library environments and har…
View article: Can diffusion model generate ocean states compatible with OGCM ? 
Can diffusion model generate ocean states compatible with OGCM ?  Open
Ocean General Circulation Models (hereafter OGCM) are critical to the study of past and present climate, and the production of future projections. Unfortunately, they require large amounts of computations at simulation time. On the other h…
View article: Learning to generate physical ocean states: Towards hybrid climate modeling
Learning to generate physical ocean states: Towards hybrid climate modeling Open
Ocean General Circulation Models require extensive computational resources to reach equilibrium states, while deep learning emulators, despite offering fast predictions, lack the physical interpretability and long-term stability necessary …
View article: Activation of Hippo Pathway Damages Slit Diaphragm by Deprivation of Ajuba Proteins
Activation of Hippo Pathway Damages Slit Diaphragm by Deprivation of Ajuba Proteins Open
Significance Statement Nuclear exclusion of the cotranscription factor YAP, which is a consequence of activation of the Hippo signaling pathway, leads to FSGS and podocyte apoptosis. Ajuba proteins play an important role in the glomerular …
View article: Reducing uncertainty in climate models through improved parameterizations of small scale processes
Reducing uncertainty in climate models through improved parameterizations of small scale processes Open
The NEMO modelling framework finds application in numerous climate models. Simulating Earth’s climate and how it is changing means to solve a complex set of equations for a long period, usually hundreds of years. Given the small time…