AI-empowered next-generation multiscale climate modelling for mitigation and adaptation

V Eyring, P Gentine, G Camps-Valls, DM Lawrence… - Nature …, 2024 - nature.com
Earth system models have been continously improved over the past decades, but systematic
errors compared with observations and uncertainties in climate projections remain. This is …

JAX-Fluids: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows

DA Bezgin, AB Buhendwa, NA Adams - Computer Physics Communications, 2023 - Elsevier
Physical systems are governed by partial differential equations (PDEs). The Navier-Stokes
equations describe fluid flows and are representative of nonlinear physical systems with …

The small scales of the ocean may hold the key to surprises

H Hewitt, B Fox-Kemper, B Pearson, M Roberts… - Nature Climate …, 2022 - nature.com
Sharp fronts and eddies that are ubiquitous in the world ocean, as well as features such as
shelf seas and under-ice-shelf cavities, are not captured in climate projections. Such small …

Differentiable programming for Earth system modeling

M Gelbrecht, A White, S Bathiany… - Geoscientific Model …, 2023 - gmd.copernicus.org
Earth system models (ESMs) are the primary tools for investigating future Earth system
states at timescales from decades to centuries, especially in response to anthropogenic …

A posteriori learning for quasi‐geostrophic turbulence parametrization

H Frezat, J Le Sommer, R Fablet… - Journal of Advances …, 2022 - Wiley Online Library
The use of machine learning to build subgrid parametrizations for climate models is
receiving growing attention. State‐of‐the‐art strategies address the problem as a supervised …

Multistability and intermediate tipping of the Atlantic Ocean circulation

J Lohmann, HA Dijkstra, M Jochum, V Lucarini… - Science …, 2024 - science.org
Tipping points (TP) in climate subsystems are usually thought to occur at a well-defined,
critical forcing parameter threshold, via destabilization of the system state by a single …

Learning constitutive relations from soil moisture data via physically constrained neural networks

T Bandai, TA Ghezzehei, P Jiang… - Water Resources …, 2024 - Wiley Online Library
The constitutive relations of the Richardson‐Richards equation encode the macroscopic
properties of soil water retention and conductivity. These soil hydraulic functions are …

MQGeometry-1.0: a multi-layer quasi-geostrophic solver on non-rectangular geometries

L Thiry, L Li, G Roullet, E Mémin - Geoscientific Model …, 2024 - gmd.copernicus.org
This paper presents MQGeometry, a multi-layer quasi-geostrophic (QG) equation solver for
non-rectangular geometries. We advect the potential vorticity (PV) with finite volumes to …

[PDF][PDF] Oceananigans. jl: A model that achieves breakthrough resolution, memory and energy efficiency in global ocean simulations

S Silvestri, G Wagner, C Hill… - arXiv preprint arXiv …, 2023 - navidconstantinou.com
Climate models must simulate hundreds of future scenarios for hundreds of years at coarse
resolutions, and a handful of high resolution decadal simulations to resolve localized …

Towards a real-time modeling of global ocean waves by the fully GPU-accelerated spectral wave model WAM6-GPU v1. 0

Y Yuan, F Yu, Z Chen, X Li, F Hou… - Geoscientific Model …, 2024 - gmd.copernicus.org
The spectral wave model WAM (Cycle 6) is a commonly used code package for ocean wave
forecasting. However, it is still a challenge to include it into the long-term Earth system …