Ruth Lorenz

TL;DR: The authors discusses newly developed tools that facilitate a more rapid and comprehensive evaluation of model simulations with observations, process-based emergent constraints that are a promising way to focus evaluation on the observations most relevant to climate projections, and advanced methods for model weighting.

TL;DR: In this article, the authors suggest that land-atmosphere feedbacks associated with the land surface's response to climate and plant responses to increased atmospheric CO2 are substantially amplified by land and plant response to increased CO2.

TL;DR: In this article, the authors present a weighting scheme that accounts both for the large differences in model performance and for model dependencies, and test reliability in a perfect model setup to demonstrate that, for some questions at least, it is meaningless to treat all models equally.

TL;DR: It is empirically demonstrated that strong negative coupling between soil moisture and vapor pressure deficit occurs globally, indicating high probability of cooccurring soil drought and atmospheric aridity.

TL;DR: In this paper, the role of soil moisture for heat wave persistence using simulations with a regional climate model was assessed using a regional model and showed that simulations in which soil moisture is fixed to a constant value or prescribed seasonal cycle, even with prescribed constant dry conditions, present a lower intrinsic heat-wave persistence than simulations with interactive soil moisture.