Toward Eliminating the Decades-Old "Too Zonal and Too Equatorward" Storm-Track Bias in Climate Models.

Generations of climate models exhibit biases in their representation of North Atlantic storm tracks, which tend to be too far near the equator and too zonal. Additionally, models have difficulties simulating explosive cyclone growth. These biases are one of the reasons for the uncertainties in projections of future climate over Europe, and the underlying causes have yet to be determined.

Global forestation and deforestation affect remote climate via adjusted atmosphere and ocean circulation.

Forests can store large amounts of carbon and provide essential ecosystem services. Massive tree planting is thus sometimes portrayed as a panacea to mitigate climate change and related impacts. Recent controversies about the potential benefits and drawbacks of forestation have centered on the carbon storage potential of forests and the local or global thermodynamic impacts.

Quantifying the circulation induced by convective clouds in kilometer-scale simulations.

The complex coupling between the large-scale atmospheric circulation, which is explicitly resolved in modern numerical weather and climate models, and cloud-related diabatic processes, which are parameterized, is an important source of error in weather predictions and climate projections. To quantify the interactions between clouds and the large-scale circulation, a method is employed that attributes a far- and near-field circulation to the cloud system. The method reconstructs the cloud-induced flow based on estimates of vorticity and divergence over a limited domain and does not require the definition of a background flow.