Mesoscale convective systems produce more intense rainfall than warm-season rain in this region.

Downscaling methods improve representation of terrain effects on precipitation for earth system models.

PNNL researchers combined future socioeconomic and climate conditions in a complex model that accounts for the relationships between energy, water, land, climate, and human activities to predict future changes in virtual water trading.

PNNL scientists led a study to quantify radiative feedbacks using historical short-term climate simulations. These simulations can reproduce the observed warming and polar amplification.

PNNL researchers enhanced an existing method for radar calibration so it could be used at remote sites.

Both fast-evolving and inherently random physical phenomena can appear noisy in numerical simulations. Now a generalized Itô correction can help ensure solution accuracy.

PNNL researchers deduced two superimposed processes that contribute to the organization of convective clouds.

Research reveals how heat and aerosols from wildfires initiate and invigorate severe storms.

This study by PNNL researchers provides an alternative explanation for why the Arctic warms more than the Antarctic.

This study examines the roles of the semi-annual variation of solar radiation and soil moisture on the Madden-Julian Oscillation (MJO) propagation across the Maritime Continent islands.

PNNL engineer Srinivas Katipamula was recognized by the American Council for an Energy-Efficient Economy with a 2020 Champion of Energy Efficiency Award.

University of Maryland, NASA Goddard Space Flight Center, and PNNL scientists explored how radiation-cloud-convection-circulation interactions (RC3I) affect the Intertropical Convergence Zone (ITCZ) and circulation at the global scale.

A study by researchers at Pacific Northwest National Laboratory and Lawrence Livermore National Laboratory demonstrates an objective test method for assessing the correctness of reduced‐precision calculations.

A study led by scientists at PNNL points to a new frontier for understanding the coupled climate system from the perspective of a nonlinear dynamical system.

By quantifying the contribution of snowpack to runoff and extreme flooding in mountainous regions in the western United States, PNNL researchers provided a unified view of the interactions between snowpack and precipitation.

This study demonstrates the statistical uncertainty in estimating a threshold from small datasets is sufficient to compromise many types of drought analysis.

This research provides the first set of national-scale estimates of the contribution inflow forecasts make on the seasonally varying release and storage operations of a large sample of dams.

PNNL has added to its expanding list of universities and nonprofit research institutions through joint appointments by adding North Carolina State University (NCSU) to the portfolio.

To study the impact of accelerated dryland expansion and degradation on global dryland gross primary production (GPP,) PNNL and Washington State University researchers assessed GPP data from 2000-2014 and the CMIP5 aridity index (AI).

PNNL chemical engineer Kenneth Rappe was recognized by the United States Council for Automotive Research LLC with a 2019 Research Partner Award.