557 citations · 1.9k across the 20 of their papers we have counts for
20 papers
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces
Miguel Liu-Schiaffini, Clare E. Singer, Nikola Kovachki +4
Tipping points are abrupt, drastic, and often irreversible changes in the evolution of non-stationary and chaotic dynamical systems. For instance, increased greenhouse gas concentr…
Accelerating large-eddy simulations of clouds with Tensor Processing Units
Sheide Chammas, Qing Wang, Tapio Schneider +3
Clouds, especially low clouds, are crucial for regulating Earth's energy balance and mediating the response of the climate system to changes in greenhouse gas concentrations. Despi…
Ensemble-Based Experimental Design for Targeting Data Acquisition to Inform Climate Models
Oliver R. A. Dunbar, Michael F. Howland, Tapio Schneider +1
Data required to calibrate uncertain GCM parameterizations are often only available in limited regions or time periods, for example, observational data from field campaigns, or dat…
Large-eddy simulations with ClimateMachine: a new open-source code for atmospheric simulations on GPUs and CPUs
Akshay Sridhar, Yassine Tissaoui, Simone Marras +11
We introduce ClimateMachine, a new open-source atmosphere modeling framework using the Julia language to be performance portable on central processing units (CPUs) and graphics pro…
Epidemic Management and Control Through Risk-Dependent Individual Contact Interventions
Tapio Schneider, Oliver R. A. Dunbar, Jinlong Wu +8
Testing, contact tracing, and isolation (TTI) is an epidemic management and control approach that is difficult to implement at scale because it relies on manual tracing of contacts…
Parameter uncertainty quantification in an idealized GCM with a seasonal cycle
Michael F. Howland, Oliver R. A. Dunbar, Tapio Schneider
Climate models are generally calibrated manually by comparing selected climate statistics, such as the global top-of-atmosphere energy balance, to observations. The manual tuning o…
Iterated Kalman Methodology For Inverse Problems
Daniel Zhengyu Huang, Tapio Schneider, Andrew M. Stuart
This paper is focused on the optimization approach to the solution of inverse problems. We introduce a stochastic dynamical system in which the parameter-to-data map is embedded, w…
Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM
Oliver R. A. Dunbar, Alfredo Garbuno-Inigo, Tapio Schneider +1
Parameters in climate models are usually calibrated manually, exploiting only small subsets of the available data. This precludes both optimal calibration and quantification of unc…
Ensemble Kalman Inversion for Sparse Learning of Dynamical Systems from Time-Averaged Data
Tapio Schneider, Andrew M. Stuart, Jin-Long Wu
Enforcing sparse structure within learning has led to significant advances in the field of data-driven discovery of dynamical systems. However, such methods require access not only…
Learning Stochastic Closures Using Ensemble Kalman Inversion
Tapio Schneider, Andrew M. Stuart, Jin-Long Wu
Although the governing equations of many systems, when derived from first principles, may be viewed as known, it is often too expensive to numerically simulate all the interactions…
Calibrate, Emulate, Sample
Emmet Cleary, Alfredo Garbuno-Inigo, Shiwei Lan +2
Many parameter estimation problems arising in applications are best cast in the framework of Bayesian inversion. This allows not only for an estimate of the parameters, but also fo…
Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High-Resolution Simulations
Tapio Schneider, Shiwei Lan, Andrew Stuart +1
Climate projections continue to be marred by large uncertainties, which originate in processes that need to be parameterized, such as clouds, convection, and ecosystems. But rapid…
Why Eddy Momentum Fluxes are Concentrated in the Upper Troposphere
Farid Ait-Chaalal, Tapio Schneider
The extratropical eddy momentum flux (EMF) is controlled by generation, propagation, and dissipation of large-scale eddies and is concentrated in Earth's upper troposphere. An idea…
Cumulant expansions for atmospheric flows
Farid Ait-Chaalal, Tapio Schneider, Bettina Meyer +1
The equations governing atmospheric flows are nonlinear. Consequently, the hierarchy of cumulant equations is not closed. But because atmospheric flows are inhomogeneous and anisot…
Changes in zonal surface temperature gradients and Walker circulations in a wide range of climates
Timothy M. Merlis, Tapio Schneider
Variations in zonal surface temperature gradients and zonally asymmetric tropical overturning circulations (Walker circulations) are examined over a wide range of climates simulate…
Atmospheric dynamics of Earth-like tidally locked aquaplanets
Timothy M. Merlis, Tapio Schneider
We present simulations of atmospheres of Earth-like aquaplanets that are tidally locked to their star, that is, planets whose orbital period is equal to the rotation period about t…
Mechanisms of jet formation on the giant planets
Junjun Liu, Tapio Schneider
The giant planet atmospheres exhibit alternating prograde (eastward) and retrograde (westward) jets of different speeds and widths, with an equatorial jet that is prograde on Jupit…
Water vapor and the dynamics of climate changes
Tapio Schneider, Paul A. O'Gorman, Xavier Levine
Water vapor is not only Earth's dominant greenhouse gas. Through the release of latent heat when it condenses, it also plays an active role in dynamic processes that shape the glob…
Formation of Jets and Equatorial Superrotation on Jupiter
Tapio Schneider, Junjun Liu
The zonal flow in Jupiter's upper troposphere is organized into alternating retrograde and prograde jets, with a prograde (superrotating) jet at the equator. Existing models posit…
Statistics of an Unstable Barotropic Jet from a Cumulant Expansion
J. B. Marston, E. Conover, Tapio Schneider
Low-order equal-time statistics of a barotropic flow on a rotating sphere are investigated. The flow is driven by linear relaxation toward an unstable zonal jet. For relatively sho…