Understanding climate change-associated tree mortality is central to linking climate change impacts and forest structure and function. However, whether temporal increases in tree mortality are attributed to climate change or stand developmental processes remains uncertain. Furthermore, interpreting the climate change-associated tree mortality estimated from old forests for regional forests rest...

North Sea. Holt et al. (2014, reference in the manuscript) found the North Sea less sensitive to production changes and projected less consequences of climate change for the North Sea compared to the global ocean, whereby Gröger et al (2013, reference in the manuscript) found the opposite, a more sensitive North Sea production to climate change. The question of regional consequences of climate ...

parameters such as future precipitation, temperature, snowfall, and runoff were modeled using precis regionalclimate modeling system in iran with the horizontal resolutions of 0.44×0.44°c in latitude and longitude under sresa2 and b2 scenarios. the dataset was based on hadam3p during the periods of 1961-1990 and 2071-2100. theoverall precipitation error of the model in the period of 1961-1990 w...

The goal of this work is to characterize the annual temperature for regional climate models. Of interest for impacts studies, these profiles and the potential change in these profiles are a new way to describe climate change and the inherent uncertainty. To that end, we propose a Bayesian hierarchical spatial model to simultaneously model the temperature profile for the four seasons of the year...

[1] Quantifying uncertainty in regional climate change projections is important for a range of reasons. We examine the sensitivity of regional climate change probabilities to various uncertainties. We use a simple probabilistic energy balance model that samples uncertainty in greenhouse gas emissions, the climate sensitivity, the carbon cycle, ocean mixing, and aerosol forcing. We then propagat...