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15 Projects

  • Canada
  • 2011
  • 2014

10
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  • Funder: EC Project Code: 265156
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  • Funder: NIH Project Code: 1F32AI084427-01A2
    Funder Contribution: 45,192 USD
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  • Funder: UKRI Project Code: NE/H024301/1
    Funder Contribution: 716,274 GBP

    Relative sea level (RSL) change reflects the interplay between a large number of variables operating at scales from global to local. Changes in RSL around the British Isles (BI) since the height of the last glaciation (ca. 24 000 years ago), are dominated by two key variables (i) the rise of ocean levels caused by climate warming and the melting of land-based ice; and (ii) the vertical adjustment of the Earth's surface due to the redistribution of this mass (unloading of formerly glaciated regions and loading of the ocean basins and margins). As a consequence RSL histories vary considerably across the region once covered by the British-Irish Ice Sheet (BIIS). The variable RSL history means that the BI is a globally important location for studying the interactions between land, ice and the ocean during the profound and rapid changes that followed the last glacial maximum. The BI RSL record is an important yardstick for testing global models of land-ice-ocean interactions and this in turn is important for understanding future climate and sea level scenarios. At present, the observational record of RSL change in the British Isles is limited to shallow water areas because of accessibility and only the later part of the RSL curve is well studied. In Northern Britain, where the land has been rising most, RSL indicators are close to or above present sea level and the RSL record is most complete. In southern locations, where uplift has been less, sea level was below the present for long periods of time but there is very little data on RSL position. There are varying levels of agreement between models and existing field data and we cannot be certain of model projections of former low sea levels. Getting the models right is important for understanding the whole global pattern of land-ice-ocean interactions in the past and into the future. To gather the missing data and thus improve the utility of the British RSL curves for testing earth-ice-ocean models, we will employ a specialised, interdisciplinary approach that brings together a unique team of experts in a multidisciplinary team. We have carefully selected sites where there is evidence of former sea levels is definitely preserved and we will use existing seabed geological data in British and Irish archives to plan our investigations. The first step is marine geophysical profiling of submerged seabed sediments and mapping of surface geomorphological features on the seabed. These features include the (usually) erosional surface (unconformity) produced by the rise in sea level, and surface geomorphological features that indicate former shorelines (submerged beaches, barriers and deltas). These allow us to identify the position (but not the age) of lower than present sea levels. The second step is to use this stratigraphic and geomorphological information to identify sites where we will take cores to acquire sediments and organic material from low sea-level deposits. We will analyse the sediments and fossil content of the cores to find material that can be closely related to former sea levels and radiocarbon dated. The third step in our approach is to extend the observed RSL curves using our new data and compare this to model predictions of RSL. We can then modify the parameters in the model to obtain better agreement with observations and thus better understand the earth-ice-ocean interactions. These data are also important for understanding the palaeogeography of the British Isles. Our data will allow a first order reconstruction of former coastlines, based upon the modern bathymetry, for different time periods during the deglaciation. This is of particular importance to the presence or absence of potential landbridges that might have enabled immigration to Ireland of humans and animals. They will also allow us to identify former land surfaces on the seabed. The palaeogeography is crucial to understanding the evolving oceanographic circulation of the Irish Sea.

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  • Funder: NIH Project Code: 5F32AI084427-02X1
    Funder Contribution: 7,850 USD
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  • Funder: EC Project Code: 284501
    visibility254
    visibilityviews254
    downloaddownloads194
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  • Funder: UKRI Project Code: NE/J00538X/1
    Funder Contribution: 289,002 GBP

    Climate science demands on data management are growing rapidly as climate models grow in the precision with which they depict spatial structures and in the completeness with which they describe a vast range of physical processes. For the Climate Model Inter-comparison Project 5 (CMIP5), a distributed archive is being constructed to provide access to what is expected to be in excess of 10 Peta-bytes of global climate change projections. The data will be held at 30 or more computing centres and data archives around the world, but for users it will appear as a single archive described by one catalogue. In addition, the usability of the data will be enhanced by a three-step validation process and the publication of Digital Object Identifiers (doi) for all the data. For many users the spatial resolution provided by the global climate models (around 150km) is inadequate: the CORDEX project will provide data scaled down to around 10km. Evaluation of climate impacts often revolves around extremes and complex impact factors, requiring high volumes of data to be stored. At the same time, uncertainty about the optimal configuration of the models imposes the requirement that each scenario be explored with multiple models. This project will explore the challenges of developing a software management infrastructure which will scale to the multi-exabyte archives of climate data which are likely to be crucial to major policy decisions in by the end of the decade. Support for automated processing of the archived data and metadata will be essential. In the short term goal, strategies will be evaluated by applying them to the CORDEX project data.

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  • Funder: NIH Project Code: 4F32AI084427-03X1
    Funder Contribution: 7,850 USD
    visibility269
    visibilityviews269
    downloaddownloads299
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  • Funder: NIH Project Code: 5F32AI084427-03
    Funder Contribution: 49,884 USD
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  • Funder: EC Project Code: 288702
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  • Funder: EC Project Code: 287581
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Advanced search in
Projects
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
The following results are related to Canada. Are you interested to view more results? Visit OpenAIRE - Explore.
15 Projects
  • Funder: EC Project Code: 265156
    visibility193
    visibilityviews193
    downloaddownloads377
    Powered by Usage counts
    more_vert
  • Funder: NIH Project Code: 1F32AI084427-01A2
    Funder Contribution: 45,192 USD
    more_vert
  • Funder: UKRI Project Code: NE/H024301/1
    Funder Contribution: 716,274 GBP

    Relative sea level (RSL) change reflects the interplay between a large number of variables operating at scales from global to local. Changes in RSL around the British Isles (BI) since the height of the last glaciation (ca. 24 000 years ago), are dominated by two key variables (i) the rise of ocean levels caused by climate warming and the melting of land-based ice; and (ii) the vertical adjustment of the Earth's surface due to the redistribution of this mass (unloading of formerly glaciated regions and loading of the ocean basins and margins). As a consequence RSL histories vary considerably across the region once covered by the British-Irish Ice Sheet (BIIS). The variable RSL history means that the BI is a globally important location for studying the interactions between land, ice and the ocean during the profound and rapid changes that followed the last glacial maximum. The BI RSL record is an important yardstick for testing global models of land-ice-ocean interactions and this in turn is important for understanding future climate and sea level scenarios. At present, the observational record of RSL change in the British Isles is limited to shallow water areas because of accessibility and only the later part of the RSL curve is well studied. In Northern Britain, where the land has been rising most, RSL indicators are close to or above present sea level and the RSL record is most complete. In southern locations, where uplift has been less, sea level was below the present for long periods of time but there is very little data on RSL position. There are varying levels of agreement between models and existing field data and we cannot be certain of model projections of former low sea levels. Getting the models right is important for understanding the whole global pattern of land-ice-ocean interactions in the past and into the future. To gather the missing data and thus improve the utility of the British RSL curves for testing earth-ice-ocean models, we will employ a specialised, interdisciplinary approach that brings together a unique team of experts in a multidisciplinary team. We have carefully selected sites where there is evidence of former sea levels is definitely preserved and we will use existing seabed geological data in British and Irish archives to plan our investigations. The first step is marine geophysical profiling of submerged seabed sediments and mapping of surface geomorphological features on the seabed. These features include the (usually) erosional surface (unconformity) produced by the rise in sea level, and surface geomorphological features that indicate former shorelines (submerged beaches, barriers and deltas). These allow us to identify the position (but not the age) of lower than present sea levels. The second step is to use this stratigraphic and geomorphological information to identify sites where we will take cores to acquire sediments and organic material from low sea-level deposits. We will analyse the sediments and fossil content of the cores to find material that can be closely related to former sea levels and radiocarbon dated. The third step in our approach is to extend the observed RSL curves using our new data and compare this to model predictions of RSL. We can then modify the parameters in the model to obtain better agreement with observations and thus better understand the earth-ice-ocean interactions. These data are also important for understanding the palaeogeography of the British Isles. Our data will allow a first order reconstruction of former coastlines, based upon the modern bathymetry, for different time periods during the deglaciation. This is of particular importance to the presence or absence of potential landbridges that might have enabled immigration to Ireland of humans and animals. They will also allow us to identify former land surfaces on the seabed. The palaeogeography is crucial to understanding the evolving oceanographic circulation of the Irish Sea.

    more_vert
  • Funder: NIH Project Code: 5F32AI084427-02X1
    Funder Contribution: 7,850 USD
    more_vert
  • Funder: EC Project Code: 284501
    visibility254
    visibilityviews254
    downloaddownloads194
    Powered by Usage counts
    more_vert
  • Funder: UKRI Project Code: NE/J00538X/1
    Funder Contribution: 289,002 GBP

    Climate science demands on data management are growing rapidly as climate models grow in the precision with which they depict spatial structures and in the completeness with which they describe a vast range of physical processes. For the Climate Model Inter-comparison Project 5 (CMIP5), a distributed archive is being constructed to provide access to what is expected to be in excess of 10 Peta-bytes of global climate change projections. The data will be held at 30 or more computing centres and data archives around the world, but for users it will appear as a single archive described by one catalogue. In addition, the usability of the data will be enhanced by a three-step validation process and the publication of Digital Object Identifiers (doi) for all the data. For many users the spatial resolution provided by the global climate models (around 150km) is inadequate: the CORDEX project will provide data scaled down to around 10km. Evaluation of climate impacts often revolves around extremes and complex impact factors, requiring high volumes of data to be stored. At the same time, uncertainty about the optimal configuration of the models imposes the requirement that each scenario be explored with multiple models. This project will explore the challenges of developing a software management infrastructure which will scale to the multi-exabyte archives of climate data which are likely to be crucial to major policy decisions in by the end of the decade. Support for automated processing of the archived data and metadata will be essential. In the short term goal, strategies will be evaluated by applying them to the CORDEX project data.

    more_vert
  • Funder: NIH Project Code: 4F32AI084427-03X1
    Funder Contribution: 7,850 USD
    visibility269
    visibilityviews269
    downloaddownloads299
    Powered by Usage counts
    more_vert
  • Funder: NIH Project Code: 5F32AI084427-03
    Funder Contribution: 49,884 USD
    more_vert
  • Funder: EC Project Code: 288702
    more_vert
  • Funder: EC Project Code: 287581
    more_vert