ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • National Park La Campana  (2)
  • paleoclimate  (2)
  • EARTH SCIENCE 〉 ATMOSPHERE 〉 PRECIPITATION
  • National Parc La Campana
  • National Parc Nahuelbuta
  • 2020-2024  (4)
Collection
Keywords
Publisher
Language
Years
Year
  • 1
    Publication Date: 2023-11-24
    Description: The Middle Miocene (15.99–11.65 Ma) of Europe witnessed major climatic, environmental, and vegetational change, yet we are lacking detailed reconstructions of Middle Miocene temperature and precipitation patterns over Europe. Here, we use a high‐resolution (∼0.75°) isotope‐enabled general circulation model (ECHAM5‐wiso) with time‐specific boundary conditions to investigate changes in temperature, precipitation, and δ〈sup〉18〈/sup〉O in precipitation (δ〈sup〉18〈/sup〉O〈sub〉p〈/sub〉). Experiments were designed with variable elevation configurations of the European Alps and different atmospheric CO〈sub〉2〈/sub〉 levels to examine the influence of Alpine elevation and global climate forcing on regional climate and δ〈sup〉18〈/sup〉Op patterns. Modeling results are in agreement with available paleobotanical temperature data and with low‐resolution Middle Miocene experiments of the Miocene Model Intercomparison Project (MioMIP1). However, simulated precipitation rates are 300–500 mm/yr lower in the Middle Miocene than for pre‐industrial times for central Europe. This result is consistent with precipitation estimates from herpetological fossil assemblages, but contradicts precipitation estimates from paleobotanical data. We attribute the Middle Miocene precipitation change in Europe to shifts in large‐scale pressure patterns in the North Atlantic and over Europe and associated changes in wind direction and humidity. We suggest that global climate forcing contributed to a maximum δ〈sup〉18〈/sup〉O〈sub〉p〈/sub〉 change of ∼2‰ over high elevation (Alps) and ∼1‰ over low elevation regions. In contrast, we observe a maximum modeled δ〈sup〉18〈/sup〉O〈sub〉p〈/sub〉 decrease of 8‰ across the Alpine orogen due to Alpine topography. However, the elevation‐δ〈sup〉18〈/sup〉O〈sub〉p〈/sub〉 lapse rate shallows in the Middle Miocene, leading to a possible underestimation of paleotopography when using present‐day δ〈sup〉18〈/sup〉O〈sub〉p〈/sub〉—elevation relationships data for stable isotope paleoaltimetry studies.
    Description: Key Points: A high‐resolution isotope‐enabled general circulation model is used to explore Middle Miocene climate and precipitation δ〈sup〉18〈/sup〉O across Europe. Middle Miocene bi‐directional precipitation change consistent with herpetological fossils and account for precipitation δ〈sup〉18〈/sup〉O variations. Global Miocene climate forcing contributed a max δ〈sup〉18〈/sup〉O change of ∼2‰ over the high Alpine elevation and to ∼1‰ over low elevation.
    Description: German research fondation
    Description: Alexander‐von‐Humboldt foundation, Feodor‐Lynen‐Fellowship
    Description: Alexander‐von‐Humboldt foundation, Humboldt Research Fellowship
    Description: Scientific Steering Committee
    Description: https://mpimet.mpg.de/fileadmin/projekte/ICON-ESM/mpi-m_sla_201202.pdf
    Description: https://gitlab.awi.de/mwerner/mpi-esm-wiso
    Description: https://zenodo.org/record/6308475#.Y0gmDSFS-2w
    Keywords: ddc:550.724 ; Europe ; Middle Miocene ; climate modeling ; stable water isotopes ; temperature ; precipitation ; paleoclimate ; paleoelevation ; Alps
    Language: English
    Type: doc-type:article
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2023-01-02
    Description: Abstract
    Description: This dataset includes the first order (global) distribution of frost cracking intensities (FCI) [°C m], for selected paleoclimate time-slices during Late Cenozoic, as presented in the paper by Sharma et al. (2022). The paleoclimate time-slices correspond to Pre-Industrial (~1850 CE, PI), Mid-Holocene (~6 ka, MH), Last Glacial Maximum (~21 ka, LGM) and Pliocene (~3 Ma, PLIO). The FCI (by segregation ice growth) is predicted using the approach of Andersen et al. (2015), as a function of subsurface thermal gradient and volume of (and distance to) liquid water. The paleo-temperature reconstructions are obtained from ECHAM5 general circulation model (GCM) at T159 spatial resolution (80 km * 80 km) by Mutz et al. (2018). The spatial resolution of FCI dataset is same as ECHAM5 GCM simulations (i.e. 80 km * 80 km). The dataset comprises the following: -Scripts (Python) for modeling FCI for approach described in Sharma et al. (2022). -Global FCI distribution as netCDF and ascii formats. The data is available in both netCDF and ascii formats. However, the model code (attached Python scripts) currently supports only netCDF format. The model scripts can be freely utilized for regional and local studies which require finer resolution dataset. Please refer to the associated data description file for a detailed description of the dataset.
    Description: Methods
    Description: The model is based on the approach of Andersen et al. (2015) to estimate FCI as a function of subsurface thermal gradients up to the depth of 20 m. For segregation ice growth, it additionally considers the influence of volume of water available in the proximity of an ice lens. The boundary condition includes the presence of positive temperatures (T 〉 0 °C) at either boundary (at surface or 20 m depth). The frost cracking is supported if the bedrock temperature is in the frost cracking window (–8 °C and –3 °C). The integrated FCI each grid cell, across Earth’s terrestrial surface was calculated by depth integration of the FCI averaged over a period of 1 year. The unit of FCI data is °C m.
    Keywords: Periglacial processes ; frost weathering ; frost cracking intensity ; paleoclimate ; Cenozoic ; EarthShape ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 GLACIAL PROCESSES 〉 PERIGLACIAL PROCESSES
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2023-11-28
    Description: Abstract
    Description: The data consists of four vascular plant species lists, one per study site. The site selection is based on the four study areas of the DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota” (www.earthshape.net), namely: arid climate National Park Pan de Azúcar, semi-arid climate Private Reserve Santa Gracia, mediterranean climate National Park La Campana and humid-temperate climate National Park Nahuelbuta in Chile, South America. Each list is a table with (mostly) terrestrial vascular plant species names that have been reported in a variety of sources at the selected sites and the corresponding administrative or biogeographical regions of Chile. The available literature sources varied from specific national park flora lists to Chilean flora books and catalogues and thus, the present lists represent a potential vegetation for the EarthShape study areas. Each table includes the plants’ Latin name, clade taxonomy, the plant growth form as well as the origin. The taxonomy of the vegetation species was updated to the taxonomic information available up to August 2023 from Chilean and South American vascular flora lists.
    Description: Other
    Description: The DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota" (2016-2022; https://www.earthshape.net/) explored between scientific disciplines and includes geoscientists and biologists to study from different viewpoints the complex question how microorganisms, animals, and plants influence the shape and development of the Earth’s surface over time scales from the present-day to the young geologic past. All study sites are located in the north-to-south trending Coastal Cordillera mountains of Chile, South America. These sites span from the Atacama Desert in the north to the Araucaria forests approximately 1300 km to the south. The site selection contains a large ecological and climate gradient ranging from very dry to humid climate conditions.
    Keywords: EarthShape ; Chile ; Coastal Cordillera ; National Park Pan de Azúcar ; Private Reserve Santa Gracia ; National Park La Campana ; National Park Nahuelbuta ; vascular plant species ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 DECIDUOUS VEGETATION ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 DOMINANT SPECIES ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 PLANT CHARACTERISTICS ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 VEGETATION COVER ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION 〉 VEGETATION SPECIES
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2023-10-09
    Description: Abstract
    Description: The DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota” (www.earthshape.net, short description of the project below) installed a meteorological station network consisting of four stations between ~26 °S to ~38 °S in the Coastal Cordillera of Chile, South America. The stations are intended to provide baseline meteorological data along the climate and ecological gradient investigated in the EarthShape program. The stations are located in the EarthShape study areas, encompassing desert, semi-desert, mediterranean, and temperate climate zones. Each station is configured to include sensors that record precipitation at ground level, radiation at 2.8 m height, wind at 3 m height, 25 cm depth soil temperature, soil water content and bulk electrical conductivity, 2 m air temperature and relative humidity, and barometric pressure at 30-minute intervals. The data recording started in March/April 2016. The EarthShape project runs until December 2021. Data collection will continue until that date, and potentially longer depending on available funds. This publication provides two sets of data: raw data and processed data. The raw data contains 2 file types per meteorological station: (1) all measured parameters of the whole dataset measured in 30 minutes intervals as downloaded from the station. Furthermore, we provide (2) one table per station of high-resolution precipitation events, measured in 5 min. intervals that were triggered during rain events at each station. The processed data consists of a continuous timeseries of observations since the activation of each station. The processing consists of the exclusion of erroneous data, caused by maintenance of the weather-stations and sporadic malfunction of sensors detected during data screening. The excluded data is communicated in a logfile (excel table), comments from data screening, solar eclipse and others are summarized in history files (ASCII ). the full description of the data and methods is provided in the data description file (Data description file).
    Description: Other
    Description: "EarthShape - Earth Surface Shaping by Biota" bridges between scientific disciplines and includes geoscientists and biologists to study from different viewpoints the complex question how microorganisms, animals, and plants influence the shape and development of the Earth’s surface over time scales from the present-day to the distant geologic past. All study sites are located in the north-to-south trending Coastal Cordillera mountains of Chile, South America. These sites span from the Atacama Desert in the north to the Araucaria forests approximately 1300 km to the south. The site selection contains a large ecological and climate gradient ranging from very dry to humid climate conditions.
    Keywords: South America ; Chile ; Cordillera de la Costa ; National Park Pan de Azúcar ; National Park Nahuelbuta ; National Park La Campana ; Private Reserve Santa Gracia ; EarthShape ; Campbell scientific ; radiation ; wind ; soil ; temperature ; precipitation ; pressure ; humidity ; weather station ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC RADIATION 〉 SOLAR RADIATION ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC TEMPERATURE 〉 AIR TEMPERATURE ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC WATER VAPOR 〉 HUMIDITY ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC WINDS 〉 SURFACE WINDS 〉 WIND SPEED/WIND DIRECTION ; EARTH SCIENCE 〉 ATMOSPHERE 〉 PRECIPITATION
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...