Eduardo Zorita

TL;DR: This article reviewed statistical methods of estimating point climate from coarse-scale climate projections, and provided guidance on the use of point climate data for many climate impact applications, especially for regions of complex topography, coastal or island locations, and in highly heterogeneous land cover.

TL;DR: The authors reconstructed past temperatures for seven continental-scale regions during the past one to two millennia and found that the most coherent feature in nearly all of the regional temperature reconstructions is a long-term cooling trend, which ended late in the nineteenth century.

TL;DR: In this article, a relatively simple analog method is described and applied for downscaling purposes, where the large scale circulation simulated by a GCM is associated with the local variables observed simultaneously with the most similar large-scale circulation pattern in a pool of historical observations.

TL;DR: In this paper, a statistical strategy to deduct regional-scale features from climate general circulation model (GCM) simulations has been designed and tested and the skill of the resulting statistical model is shown by reproducing, to a good approximation, the winter mean Iberian Peninsula rainfall from 1900 to present from the observed North Atlantic mean SLP distributions.

TL;DR: The centennial variability of the NH temperature is underestimated by the regression-based methods applied here, suggesting that past variations may have been at least a factor of 2 larger than indicated by empirical reconstructions.