The roles of the various environmental variables in the transition from suppressed to active tropical precipitation regimes are characterized using statistical analysis and machine learning.

Researchers designed a new, highly efficient, stable redox-active material from neutral red dye that can efficiently capture CO2 from air.

A new moist potential vorticity model helps researchers understand atmosphere–land moisture exchanges over the United States.

A modeling study finds that multiple factors almost perfectly balance under anthropogenic greenhouse gas forcing, leaving no footprint on the dynamically induced ocean heat storage in the Southern Ocean.

The results of this study are consistent with the idea that the stress of chronic salinity exposure changes tree leaf shape and function, weakening their physiology and setting in motion processes that lead to death.

Researchers demonstrated a path to quantitatively map hydrogen pick up in model steels.

Climate change and socioeconomic pressures are transforming passenger and freight transportation in the Arctic, producing effects that have yet to be fully understood.

The pathway of oxygen ion movement can be controlled based on the initial structure and substrate of strontium iron oxide thin films.

Surface composition can control the electronic properties of buried interfaces.

Oxide/metal interfaces act as the primary path for oxygen to move to and around nanoscale protective oxide layers.

Testing the assumption that different future socio-economic development patterns, which result in different land-use changes, can be paired with different future climate outcomes for risk assessments in a multi-model framework.

A suite of experiments provide insight into how diopside reacts with carbon dioxide to form stable carbonate species.

New research reveals enhanced CO2 transport across a polyether ether ketone membrane and water-lean solvent interface

Harnessing machine learning to enhance plant coexistence in a vegetation demographic model.

Simulations show an amorphous intermediate that allows impurities to incorporate into crystallizing calcium carbonate.

A new review describes the insights that may be gained into important electrochemical processes using ion soft landing.

A success story of applying convergence testing to detect and address issues of numerical discretization in nonlinear representations of turbulence and clouds.

A holistic evaluation of the uncertainty sources that arise from configuring the model to processing the output for global variable-resolution models.

A crystalline silicate framework forms through a non-classical, multi-step nucleation mechanism based on structurally precise clusters.

A new open-source feature tracking package is now available to facilitate advanced model evaluation, model development efforts, and scientific discovery.