Stable water isotopes in the global water cycle: Atmospheric model simulations and application to proxy data
Stable isotopes of water recorded in polar ice cores are used to reconstruct past temperatures and the fractionation during phase changes make them a useful tracer of the hydrological cycle. This study focuses on the global and regional variations in the distribution of water isotopes with changes i...
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| Other Authors: | , , |
| Format: | Doctoral or Postdoctoral Thesis |
| Language: | English |
| Published: |
Universität Bremen
2013
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| Subjects: | |
| Online Access: | https://media.suub.uni-bremen.de/handle/elib/967 https://nbn-resolving.org/urn:nbn:de:gbv:46-00104905-14 |
| Summary: | Stable isotopes of water recorded in polar ice cores are used to reconstruct past temperatures and the fractionation during phase changes make them a useful tracer of the hydrological cycle. This study focuses on the global and regional variations in the distribution of water isotopes with changes in the climate. Sensitivity experiments and time-slice simulations for the Last Glacial Maximum (LGM), Heinrich Stadial-1 and mid-Holocene climates were carried out both to understand the boundary conditions that exert the maximum influences on the isotopic composition of precipitation, and to reproduce the isotopic distribution of precipitation during these time periods. The numerical climate model, the National Center for Atmospheric Research (NCAR) Community Atmosphere Model CAM3.0 fitted with an oxygen-isotope module (Iso- CAM), is used to carry out the experiments. The first part of this study focuses on understanding the distribution of oxygen isotopes in precipitation during the LGM and to associate the anomalies from the control climate with the influence of different boundary condition constraints. Results from a pre-industrial control simulation are compared against experiments in which the influence of individual boundary conditions (greenhouse gases, ice-sheet albedo and topography, sea-surface temperature (SST), and orbital parameters) were changed each at a time to the LGM values to assess their individual impact. The results show that the SST and ice-sheet topography changes during the LGM are responsible for most of the modeled variations in the climate and hence the 18Oprecip distribution. In this study a detailed analysis of the seasonal and annual variations of 18Oprecip for the control and a combined LGM simulation is carried out. tion, the spatial and temporal slopes between the 18Oprecip and surface temperature are calculated for the combined LGM and control simulations over Greenland and Antarctica, which are compared with the reconstructions from the ice-cores and those simulated with other ... |
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