Birgit Mannig

TL;DR: In this paper, an optimal statistical filter is applied to compare the coherence between observed and simulated patterns of Mediterranean climate change from a global and a regional climate model, and it is found that the regional climate models have indeed an added value in the detection of regional climate change, contrary to former assumptions.

TL;DR: In this article, the authors used a dynamically downscaled A1B SRES scenario for climate change effects for the period 2071-2100 in relation to the reference period of 1971-2000 and a version of the conceptual hydrological hydrologogical Hydrologiska Byrans Vattenavdelning model (HBV-light) to estimate runoff contributions with particular respect to the small tributaries.

TL;DR: In this article, the authors present an experimental design based on a regional climate model allowing for the assessment of global and local effects on future climate change in Asia and carry out two runs which are characterized by increasing greenhouse gas concentrations within the model domain, but one (the control run) is one way nested into a global control run at the lateral and oceanic boundaries while the other (the forced run) was one-way nested into consistently forced global simulation.

TL;DR: In this paper, the Gumbel distribution was evaluated with empirical extreme values, and the best fit at every model grid box revealed a mostly significant tendency towards warmer temperature extremes and more intense heavy precipitation, particularly in the Alpine region.