the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Gridded climate data from 5 GCMs of the Last Glacial Maximum downscaled to 30 arc s for Europe
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.
- Preprint
(5721 KB) - Metadata XML
- BibTeX
- EndNote
-
RC C1411: 'Referee comment', Anonymous Referee #1, 19 Aug 2015
- AC C1975: 'Response to Referee #1', Dirk R. Schmatz, 12 Oct 2015
-
RC C1637: 'Review of Schmatz et al', Anonymous Referee #2, 13 Sep 2015
- AC C1984: 'Response to Referee #2', Dirk R. Schmatz, 12 Oct 2015
-
RC C1411: 'Referee comment', Anonymous Referee #1, 19 Aug 2015
- AC C1975: 'Response to Referee #1', Dirk R. Schmatz, 12 Oct 2015
-
RC C1637: 'Review of Schmatz et al', Anonymous Referee #2, 13 Sep 2015
- AC C1984: 'Response to Referee #2', Dirk R. Schmatz, 12 Oct 2015
Viewed
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,261 | 893 | 221 | 2,375 | 70 | 119 |
- HTML: 1,261
- PDF: 893
- XML: 221
- Total: 2,375
- BibTeX: 70
- EndNote: 119
Cited
9 citations as recorded by crossref.
- Assessing the influence of climate change and inter-basin water diversion on Haihe River basin, eastern China: a coupled model approach J. Xia et al. 10.1007/s10040-018-1773-7
- Evolutionary processes, dispersal limitation and climatic history shape current diversity patterns of European dragonflies S. Pinkert et al. 10.1111/ecog.03137
- pastclim 1.2: an R package to easily access and use paleoclimatic reconstructions M. Leonardi et al. 10.1111/ecog.06481
- Risky business: The impact of climate and climate variability on human population dynamics in Western Europe during the Last Glacial Maximum A. Burke et al. 10.1016/j.quascirev.2017.04.001
- Linking species diversification to palaeo‐environmental changes: A process‐based modelling approach P. Descombes et al. 10.1111/geb.12683
- Assessing the Causes Behind the Late Quaternary Extinction of Horses in South America Using Species Distribution Models N. Villavicencio et al. 10.3389/fevo.2019.00226
- Long-term isolation of European steppe outposts boosts the biome’s conservation value P. Kirschner et al. 10.1038/s41467-020-15620-2
- High unexpected genetic diversity of a narrow endemic terrestrial mollusc P. Madeira et al. 10.7717/peerj.3069
- Integrating phylogenomics, phylogenetics, morphometrics, relative genome size and ecological niche modelling disentangles the diversification of Eurasian Euphorbia seguieriana s. l. (Euphorbiaceae) B. Frajman et al. 10.1016/j.ympev.2018.10.046