Gridded climate data from 5 GCMs of the Last Glacial Maximum downscaled to 30 arc s for Europe
D. R. Schmatz1, J. Luterbacher2, N. E. Zimmermann1, and P. B. Pearman1,3,41Landscape Dynamics, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland 2Department of Geography, Climatology, Climate Dynamics and Climate Change, Justus-Liebig-University of Giessen, Giessen, Germany 3Department of Plant Biology and Ecology, Faculty of Sciences and Technology, University of the Basque Country, UPV/EHU, Ap. 644, 48940 Leioa, Bizkaia, Spain 4IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Bizkaia, Spain
Received: 13 May 2015 – Accepted for review: 31 May 2015 – Discussion started: 30 Jun 2015
Abstract. Studies of the impacts of historical, current and future global change require very high-resolution climate data (≤ 1 km) as a basis for modelled responses, meaning that data from digital climate models generally require substantial rescaling. Another shortcoming of available datasets on past climate is that the effects of sea level rise and fall are not considered. Without such information, the study of glacial refugia or early Holocene plant and animal migration are incomplete if not impossible. Sea level at the last glacial maximum (LGM) was approximately 125 m lower, creating substantial additional terrestrial area for which no current baseline data exist. Here, we introduce the development of a novel, gridded climate dataset for LGM that is both very high resolution (1 km) and extends to the LGM sea and land mask. We developed two methods to extend current terrestrial precipitation and temperature data to areas between the current and LGM coastlines. The absolute interpolation error is less than 1 and 0.5 °C for 98.9 and 87.8 %, respectively, of all pixels within two arc degrees of the current coastline. We use the change factor method with these newly assembled baseline data to downscale five global circulation models of LGM climate to a resolution of 1 km for Europe. As additional variables we calculate 19 "bioclimatic" variables, which are often used in climate change impact studies on biological diversity. The new LGM climate maps are well suited for analysing refugia and migration during Holocene warming following the LGM.
Schmatz, D. R., Luterbacher, J., Zimmermann, N. E., and Pearman, P. B.: Gridded climate data from 5 GCMs of the Last Glacial Maximum downscaled to 30 arc s for Europe, Clim. Past Discuss., 11, 2585-2613, doi:10.5194/cpd-11-2585-2015, 2015.