Deep learning to represent subgrid processes in climate models

Could Machine Learning Break the Convection Parameterization Deadlock?

(2018) P. Gentine et al.   GEOPHYSICAL RESEARCH LETTERS

Prognostic Validation of a Neural Network Unified Physics Parameterization

(2018) N. D. Brenowitz et al.   GEOPHYSICAL RESEARCH LETTERS

Rainfall From Resolved Rather Than Parameterized Processes Better Represents the Present-Day and Climate Change Response of Moderate Rates in the Community Atmosphere Model

(2018) Gabriel J. Kooperman et al.   Journal of Advances in Modeling Earth Systems

Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High-Resolution Simulations

(2017) Tapio Schneider et al.   GEOPHYSICAL RESEARCH LETTERS

Rediscovery of the doldrums in storm-resolving simulations over the tropical Atlantic

(2017) Daniel Klocke et al.   Nature Geoscience

Climate goals and computing the future of clouds

(2017) Tapio Schneider et al.   Nature Climate Change

Evaluation of the convection-resolving climate modeling approach on continental scales

(2017) David Leutwyler et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Resolution Dependence of the Diurnal Cycle of Precipitation Simulated by a Global Cloud-System Resolving Model

(2016) Hisashi Yashiro et al.   SOLA

Effects of explicit convection on global land-atmosphere coupling in the superparameterized CAM

(2016) Jian Sun et al.   Journal of Advances in Modeling Earth Systems

The double ITCZ bias in CMIP5 models: interaction between SST, large-scale circulation and precipitation

(2015) Boutheina Oueslati et al.   CLIMATE DYNAMICS

What favors convective aggregation and why?

(2015) Caroline Muller et al.   GEOPHYSICAL RESEARCH LETTERS

Deep learning

(2015) Yann LeCun et al.   NATURE

Clouds, circulation and climate sensitivity

(2015) Sandrine Bony et al.   Nature Geoscience

Convective self-aggregation feedbacks in near-global cloud-resolving simulations of an aquaplanet

(2015) Christopher S. Bretherton et al.   Journal of Advances in Modeling Earth Systems

Global-scale convective aggregation: Implications for the Madden-Julian Oscillation

(2015) Nathan P. Arnold et al.   Journal of Advances in Modeling Earth Systems

Restricting 32-128 km horizontal scales hardly affects the MJO in the Superparameterized Community Atmosphere Model v.3.0 but the number of cloud-resolving grid columns constrains vertical mixing

(2014) Michael S. Pritchard et al.   Journal of Advances in Modeling Earth Systems

Deep moist atmospheric convection in a subkilometer global simulation

(2013) Yoshiaki Miyamoto et al.   GEOPHYSICAL RESEARCH LETTERS

A Probabilistic Bulk Model of Coupled Mixed Layer and Convection. Part I: Clear-Sky Case

(2013) Pierre Gentine et al.   JOURNAL OF THE ATMOSPHERIC SCIENCES

Spread in model climate sensitivity traced to atmospheric convective mixing

(2013) Steven C. Sherwood et al.   NATURE

What Are Climate Models Missing?

(2013) B. Stevens et al.   SCIENCE

The vertical distribution of cloud feedback in coupled ocean-atmosphere models

(2011) Brian J. Soden et al.   GEOPHYSICAL RESEARCH LETTERS

Moist Static Energy Budget of MJO-like Disturbances in the Atmosphere of a Zonally Symmetric Aquaplanet

(2011) Joseph Allan Andersen et al.   JOURNAL OF CLIMATE

Structure of the Madden–Julian Oscillation in the Superparameterized CAM

(2009) James J. Benedict et al.   JOURNAL OF THE ATMOSPHERIC SCIENCES