A new framework facilitates scenario evaluation of models with high regional detail—a key component for credible analysis.

Decadal variations in the tropical ocean warming pattern have previously masked but will later amplify the anthropogenically forced changes in the tropical rainband.

Scientists used the strength of land-atmosphere coupling to improve predictions of East Asian summer monsoon rainfall.

A new type of ice chamber allows researchers to understand how ice forms on atmospheric aerosol particles.

Variability in field measurement conditions likely does not impact estimates of an important flux in the global carbon cycle.

Current representations of shallow clouds in climate models have biases that lead to inaccuracies in models.

A new process-oriented diagnostic approach provides new insights into simulated storms and their environments.

Demonstrating methods for using a portable optical particle spectrometer, a miniaturized and highly sensitive instrument, to measure atmospheric aerosol size distributions.

Satellite observations provide insight into the processes that control the spatial distributions of dust in global climate models.

Scientists discovered that a warming climate delays monsoonal rain, but only over land.

Introducing a publicly available and global gridded high-resolution land use dataset based on diverse future socioeconomic and climate scenarios.

Regional climate models reveal irrigation’s role in strong precipitation and low-level winds across the Central United States.

Comparing large datasets from coordinated aircraft flights provides critical information about data researcher use in a range of analyses.

Urbanization-induced land cover and anthropogenic aerosol changes result in stronger thunderstorms with enhanced precipitation in the Houston area.

Researchers propose and test foundational concepts for the new subdiscipline of “meta-metabolome ecology.”

Long term power grid planning needs to consider regional dependencies in climate adaption plans.

Rigorous mathematical methods can help avoid unnecessary simplifications in numerical models of atmospheric clouds.

More accurate methods provide better results in numerical simulations of atmospheric clouds by avoiding accidental contradictions.

PNNL researchers have developed a new class of chemistry focused on carbon capture technology and made incremental strides in driving down costs.

A code comparison study demonstrates a leap in the accuracy and reliability of modeling gas hydrate for the discovery and production of natural gas.