@misc{RachKahmenBraueretal.2017,
  author    = {Rach, Oliver and Kahmen, Ansgar and Brauer, Achim and Sachse, Dirk},
  title     = {A dual-biomarker approach for quantification of changes in relative humidity from sedimentary lipid D/H ratios},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {660},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-41873},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-418731},
  pages     = {17},
  year      = {2017},
  abstract  = {Past climatic change can be reconstructed from sedimentary archives by a number of proxies. However, few methods exist to directly estimate hydrological changes and even fewer result in quantitative data, impeding our understanding of the timing, magnitude and mechanisms of hydrological changes. Here we present a novel approach based on delta H-2 values of sedimentary lipid biomarkers in combination with plant physiological modeling to extract quantitative information on past changes in relative humidity. Our initial application to an annually laminated lacustrine sediment sequence from western Europe deposited during the Younger Dryas cold period revealed relative humidity changes of up to 15\% over sub-centennial timescales, leading to major ecosystem changes, in agreement with palynological data from the region. We show that by combining organic geochemical methods and mechanistic plant physiological models on well characterized lacustrine archives it is possible to extract quantitative ecohydrological parameters from sedimentary lipid biomarker delta H-2 data.},
  language  = {en}
}
@misc{CasadoLandaisPicardetal.2018,
  author    = {Casado, Mathieu and Landais, Amaelle and Picard, Ghislain and M{\"u}nch, Thomas and Laepple, Thomas and Stenni, Barbara and Dreossi, Giuliano and Ekaykin, Alexey and Arnaud, Laurent and Genthon, Christophe and Touzeau, Alexandra and Masson-Delmotte, Valerie and Jouzel, Jean},
  title     = {Archival processes of the water stable isotope signal in East Antarctic ice cores},
  series = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  number    = {716},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-42705},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-427054},
  pages     = {22},
  year      = {2018},
  abstract  = {The oldest ice core records are obtained from the East Antarctic Plateau. Water isotopes are key proxies to reconstructing past climatic conditions over the ice sheet and at the evaporation source. The accuracy of climate reconstructions depends on knowledge of all processes affecting water vapour, precipitation and snow isotopic compositions. Fractionation processes are well understood and can be integrated in trajectory-based Rayleigh distillation and isotope-enabled climate models. However, a quantitative understanding of processes potentially altering snow isotopic composition after deposition is still missing. In low-accumulation sites, such as those found in East Antarctica, these poorly constrained processes are likely to play a significant role and limit the interpretability of an ice core's isotopic composition. By combining observations of isotopic composition in vapour, precipitation, surface snow and buried snow from Dome C, a deep ice core site on the East Antarctic Plateau, we found indications of a seasonal impact of metamorphism on the surface snow isotopic signal when compared to the initial precipitation. Particularly in summer, exchanges of water molecules between vapour and snow are driven by the diurnal sublimation-condensation cycles. Overall, we observe in between precipitation events modification of the surface snow isotopic composition. Using high-resolution water isotopic composition profiles from snow pits at five Antarctic sites with different accumulation rates, we identified common patterns which cannot be attributed to the seasonal variability of precipitation. These differences in the precipitation, surface snow and buried snow isotopic composition provide evidence of post-deposition processes affecting ice core records in low-accumulation areas.},
  language  = {en}
}