Center for Robust Decision Making on Climate and Energy Policy

Global impact models represent process-level understanding of how natural and human systems may be affected by climate change. Their projections are used in integrated as [...]

Concerns about food security under climate change motivate efforts to better understand future changes in crop yields. Process-based crop models, which represent plant ph [...]

Access to climate and spatial datasets by non-specialists is restricted by technical barriers involving hardware, software and data formats. We discuss an open-source onl [...]

We discuss an on-line tool that facilitates access to the large collection of climate impacts on crop yields produced by the Agricultural Model Intercomparison and Improv [...]

Statistical emulation allows combining advantageous features of statistical and process-based crop models for understanding the effects of future climate changes on crop [...]

Concerns over climate change are motivated in large part because of their impact on human society. Assessing the effect of that uncertainty on specific potential impacts [...]

Elevated surface ozone (O₃) concentrations can negatively impact growth and development of crop production by reducing photosynthesis and accelerating leaf sen [...]

Convective available potential energy (CAPE), a metric associated with severe weather, is expected to increase with warming, but we have lacked a framework that describes [...]

Clouds play an important role in the Earth’s energy budget, and their behavior is one of the largest uncertainties in future climate projections. Satellite observations [...]