The influence of the El Nino-Southern Oscillation on Antarctic and subantarctic climate

• Other Authors: AADC (owner), AADC, DATA OFFICER (distributor), AADC, DATA OFFICER (custodian), AU/AADC > Australian Antarctic Data Centre, Australia (hasAssociationWith), Australian Antarctic Data Centre (publisher), NOAA (sponsor), SIMMONDS, IAN (collaborator), SIMMONDS, IAN (hasPrincipalInvestigator), SIMMONDS, IAN (author), Simmonds, I. (originator)
• Format: Dataset
• Language: unknown
• Published: Australian Ocean Data Network
• Subjects: climatologyMeteorologyAtmosphere; oceans; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > OSCILLATIONS; OCEANS > OCEAN CIRCULATION > OCEAN CURRENTS; CLIMATE INDICATORS > ATMOSPHERIC/OCEAN INDICATORS > TELECONNECTIONS > ANTARCTIC OSCILLATION (AAO); EL NINO SOUTHERN OSCILLATION (ENSO); CLIMATE CHANGE; EL NINO; SOUTHERN OCEAN; SATELLITES; AMD/AU; CEOS; AMD; OCEAN > GEOGRAPHIC REGION > POLAR; Antarc*; Antarctic; Southern Ocean
• Online Access: https://researchdata.edu.au/the-influence-el-subantarctic-climate/2821029

Progress Code: completed Statement: Values provided in temporal and spatial coverage are approximate only. See the links for the source data for further information about the quality of the original datasets. Metadata record for data from ASAC Project 2320 See the link below for public details on this project. --- Public Summary from Project --- The project explores the extent to, and the manner in, which the El Nino-Southern Oscillation (ENSO) phenomenon influences the Antarctic and subantarctic region, particularly in the Pacific sector. Recent changes in Antarctic climate will be assessed in light of changes in ENSO activity. In this project, the NCEP reanalysis datasets were sourced from: NOAA/National Weather Service, National Centers for Environmental Prediction (5200 Auth Road, Camp Springs, Maryland, 20746 USA). Two NCEP reanalysis data sets were used in this study. The first was NCEP/NCAR, with 6-hourly data available from 1958 (see the URL provided below for further information). The second was the NCEP/DOE set, with 6-hourly data available from 1979 (see the URL provided below for further information). In this project the following model/analysis was applied: Application of The University of Melbourne cyclone tracking scheme (Simmonds et al., 2003, Monthly Weather Review, 131, 272-288) and a broad range of statistical tests. Brief details are provided in the Summary. See the link for the pdf document for more detailed information. These complex statistical analyses were run over the entire length of the project (2002/2003 - 2004/2005). They were run on the Sun Workstation cluster in the School of Earth Sciences, The University of Melbourne.