Palaeoclimatic indicators and parameters
Type of resources
Topics
Keywords
Contact for the resource
Provided by
Years
Representation types
Update frequencies
-
The iGlass project (using Inter-GLacials to Assess future Sea-level Scenarios) data set will comprise: acquisition of new relative sea-level data (sediments and microfossils - diatoms and foraminifera) from estuarine environments, speleothems (cave deposits), corals as well as chemical composition of marine plankton shells (foraminifera) contained in sediment cores, from around the world; palaeodata synthesis of interglacial sea level and climate; and modelling of isostatic, climate and sea-level changes and interactions during past interglacials. The iGlass consortium aims to better understand the processes of ice-sheet and sea-level response to climatic forcing using data from the recent geological past. The data will cover the time period between 427 and 115 thousand years before present covering Marine Isotope Stages (MIS) 5, 7, 9 and 11. The dataset currently includes the synthesis of high-latitude air and sea surface temperature from the last Interglacial MIS5 between 115 and 130 thousand years before present. Sediment coring and the analysis of microfossils within these, will acquire new sea-level data. There will be geophysical modelling of vertical land movements and gravitational effects, which cause deviations of regional sea level from the global mean trend. Investigation of climate/ice-sheet/sea-level interactions using both observations and modelling, to reveal the underlying processes. Coring will take place in Norfolk and the Red Sea and speleothems will be investigated in Bermuda. Data synthesis and some model output will concentrate on the high northern and southern latitudes; other model output will be global. iGlass is funded by the UK Natural Environment Research Council and comprises the following research institutions; University of Southampton, National Oceanography Centre (NOC), University of York, University of Oxford, University of Durham, University of Bristol, University of Reading, University of Cambridge and British Antarctic Survey (BAS). It also includes two academic partners; University of Ottawa and Australian National University and three the non-academic partners; UKCIP, Environment Agency and Willis Ltd. There are also external researchers based at Oregon State University and National Center for Atmospheric Research. Currently the synthesis of high-latitude air and sea surface temperature from the last Interglacial MIS5 and the synthesis of coral indicators of past sea-level change are available from BODC. Other data will be added in due course.
-
This dataset contains derived annual mean globally-averaged variables from an existing global coupled carbon-climate Earth System Model and a novel atmosphere-ocean box model to understand surface warming response in terms of changes in global carbon inventories, empirical heat budget, and variation in time with carbon emissions. The source model outputs were generated by Thomas Froelicher in 2015 using a 1000-year simulation of the global coupled carbon-climate Earth System Model developed at the Geophysical Fluid Dynamics Laboratory (GFDL ESM2M). A scenario was forced of a 1% annual rate increase in carbon dioxide from preindustrial levels until global mean surface air temperature increased by 2 degrees Celsius since the preindustrial, after this point emissions of carbon were set to zero and all other non-carbon dioxide greenhouse gases were kept at preindustrial levels. Output parameters included: ocean temperature; salinity; dissolved inorganic carbon; ocean alkalinity; dissolved inorganic phosphate; surface air temperature; atmospheric carbon dioxide; cumulative carbon emission. Annual mean variables were then derived from these data. This was determined by calculated changes in: ocean carbon inventory; ocean carbon under saturation; saturated dissolved inorganic carbon; ocean dissolved inorganic carbon; radiative forcing from carbon dioxide; ocean heat uptake. Additionally the dependence of radiative forcing on carbon emissions, dependence of surface warming on radiative forcing and surface warming dependence on radiative forcing were determined. The box model consists of three homogeneous layers: a well‐mixed atmosphere, an ocean mixed layer with 100‐m thickness, and an ocean interior with 3,900‐m thickness - all assumed to have the same horizontal area. The model solves for the heat and carbon exchange between these layers, including physical and chemical transfers, however ignoring biological transfers, and sediment and weathering interactions. The model is forced from an equilibrium by carbon emitted into the atmosphere with a constant rate of 20 PgC/year for 100 years and integrated for 1,000 years. Ocean ventilation is represented by the ocean interior taking up the heat and carbon properties of the mixed layer on an e-folding time scale of 200 years. These datasets were generated as part of the Natural Environment Research Council (NERC) Discovery Science project "Mechanistic controls of surface warming by ocean heat and carbon uptake" standard grant reference NE/N009789/1 lead by Principal Investigator - Professor Ric Williams, University of Liverpool and Co-Investigator - Dr Philip Goodwin, University of Southampton. Data are acrvhived at the British Oceanographic Data Centre.