Applying e-science to evaluating Antarctic lakes as indicators of climate change - Crooked Lake Dataset

Metadata record for data from ASAC Project 2323 See the link below for public details on this project. --- Public Summary from Project --- E-science is an exciting new branch of inter-disciplinary science which effectively uses powerful computers, high speed networks and sophisticated visualisation...

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Bibliographic Details
Other Authors: LAYBOURN-PARRY, JOHANNA (hasPrincipalInvestigator), LAYBOURN-PARRY, JOHANNA (processor), Australian Antarctic Divsion (originator), Australian Antarctic Data Centre (publisher)
Format: Dataset
Language:unknown
Published: Australian Antarctic Data Centre
Subjects:
PAR
Online Access:https://researchdata.ands.org.au/applying-e-science-lake-dataset/699857
https://doi.org/10.4225/15/574BBAB4B029C
https://data.aad.gov.au/metadata/records/ASAC_2323_Crooked
Description
Summary:Metadata record for data from ASAC Project 2323 See the link below for public details on this project. --- Public Summary from Project --- E-science is an exciting new branch of inter-disciplinary science which effectively uses powerful computers, high speed networks and sophisticated visualisation techniques to address important questions. It allows scientists to access large metadata bases via the internet to produce complex models or visualisations. This proposal will assess the potential of Antarctic lakes as indicators of climate change. For example we could produce a three dimensional picture of the light climate in the water column of a lake and show how this will change as ice-cover thins, becomes opaque and breaks out. In turn this could be used to produce a detailed picture of how photosynthesis will respond to changing light climate, which in turn impacts on carbon cycling. This proposal involves five senior scientists from a range of disciplines including a polar limnologist, an environmental modeller, a remote sensing engineer and computer/IT scientists who are the forefront of the E-Science initiative. The Fields in this dataset (arranged by column) are described in a text document in the download file.