Daily synoptic weather types of southern Indian Ocean: January 1979-October 2018
Daily synoptic typing dataset for the southern Indian Ocean (30°-75°S, 40°-180° E) for the period January 1979 to October 2018 developed using self-organising maps (SOMs). The nine synoptic types represented by the nodes defined in this study included four meridional (SOM1, SOM2, SOM6 and SOM9), thr...
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Australian Antarctic Data Centre
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Online Access: | https://researchdata.edu.au/daily-synoptic-weather-october-2018/1597716 https://doi.org/10.4225/15/58eedf00d78fe https://data.aad.gov.au/metadata/records/AAS_4537_z500_SynopticTyping_SouthernIndianOcean http://nla.gov.au/nla.party-617536 |
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ftands:oai:ands.org.au::1597716 2023-05-15T13:39:00+02:00 Daily synoptic weather types of southern Indian Ocean: January 1979-October 2018 UDY, DANIELLE (hasPrincipalInvestigator) UDY, DANIELLE (processor) VANCE, TESSA ROSEMARY (hasPrincipalInvestigator) VANCE, TESSA ROSEMARY (processor) KIEM, ANTHONY (hasPrincipalInvestigator) KIEM, ANTHONY (processor) HOLBROOK, NEIL (hasPrincipalInvestigator) HOLBROOK, NEIL (processor) CURRAN, MARK (hasPrincipalInvestigator) CURRAN, MARK (processor) Australian Antarctic Data Centre (publisher) Spatial: northlimit=-30; southlimit=-75; westlimit=40; eastLimit=180; projection=WGS84 Temporal: From 1979-01-01 to 2018-10-31 https://researchdata.edu.au/daily-synoptic-weather-october-2018/1597716 https://doi.org/10.4225/15/58eedf00d78fe https://data.aad.gov.au/metadata/records/AAS_4537_z500_SynopticTyping_SouthernIndianOcean http://nla.gov.au/nla.party-617536 unknown Australian Antarctic Data Centre https://researchdata.edu.au/daily-synoptic-weather-october-2018/1597716 a8cb006a-fc82-4f5f-ae5c-7c578215daf0 doi:10.4225/15/58eedf00d78fe AAS_4537_z500_SynopticTyping_SouthernIndianOcean https://data.aad.gov.au/metadata/records/AAS_4537_z500_SynopticTyping_SouthernIndianOcean http://nla.gov.au/nla.party-617536 Australian Antarctic Data Centre climatologyMeteorologyAtmosphere SOUTHERN OSCILLATION INDEX EARTH SCIENCE CLIMATE INDICATORS ATMOSPHERIC/OCEAN INDICATORS TELECONNECTIONS SOLAR SYNOPTIC MAPS SUN-EARTH INTERACTIONS SOLAR ACTIVITY ECMWF ERA-INTERIM SELF-ORGANISING MAPS ALGORITHM SYNOPTIC WEATHER PATTERNS SYNOPTIC TYPING SELF-ORGANISING MAPS Computer > Computer MAPS MODELS EARTH SCIENCE SERVICES OCEAN > INDIAN OCEAN SOUTHERN OCEAN CONTINENT > ANTARCTICA GEOGRAPHIC REGION > POLAR dataset ftands https://doi.org/10.4225/15/58eedf00d78fe 2020-11-16T23:22:02Z Daily synoptic typing dataset for the southern Indian Ocean (30°-75°S, 40°-180° E) for the period January 1979 to October 2018 developed using self-organising maps (SOMs). The nine synoptic types represented by the nodes defined in this study included four meridional (SOM1, SOM2, SOM6 and SOM9), three mixed (SOM4, SOM7 and SOM8), a zonal (SOM3) and a transitional pattern (SOM5). Refer to Udy et al. Links between large scale modes of climate variability and synoptic weather patterns in the southern Indian Ocean. J.Climate in review. Included datasets: SOM_daily_z500_anomaly_3_3.nc includes the composite z500 daily anomaly patterns for each of the 9 SOM nodes - lat, lon, z500 anomaly, node. SOM_daily_z500_anomaly_3_3.txt includes the daily 'winning' node between 1st January 1979 and 31st October 2018. Each day is assigned to a 'winning' node between 1-9. e.g. 19790101 is assigned to SOM3. SOM code: "Kohonen" Package in R https://cran.r-project.org/web/packages/kohonen/index.html Study domain: 30°-75°S, 40°-180° E Time step / period: daily / January 1979-October 2018 Input data: ERA-Interim (https://apps.ecmwf.int/datasets/) 500hPa geopotential height (z500) daily anomalies. Climate Data Operators (CDO) was used to calculate the daily anomaly (https://code.mpimet.mpg.de/projects/cdo/) SOM algorithm parameters: refer to kohonen documentation for more information. dist.fcts (performance evaluation distance) = euclidean, grid = rect, neighbourhood function = gaussian, Nodes (number of SOM nodes) = 9, rlen (number of iterations) = 1000, alp (learning rate) = 0.05 to 0.01 and rad (radius) = 4 to 0. In the Kohonen R-package, a radius value less than or equal to one corresponds to the point where only the 'winning' node is updated by each iteration, making the SOM algorithm similar to clustering techniques (e.g. k-means). The SOM algorithm used in this study was a hybrid between SOM/clustering (75% SOM, 25% clustering). Dataset Antarc* Antarctica Southern Ocean Research Data Australia (Australian National Data Service - ANDS) Indian Southern Ocean ENVELOPE(40,180,-30,-75) |
institution |
Open Polar |
collection |
Research Data Australia (Australian National Data Service - ANDS) |
op_collection_id |
ftands |
language |
unknown |
topic |
climatologyMeteorologyAtmosphere SOUTHERN OSCILLATION INDEX EARTH SCIENCE CLIMATE INDICATORS ATMOSPHERIC/OCEAN INDICATORS TELECONNECTIONS SOLAR SYNOPTIC MAPS SUN-EARTH INTERACTIONS SOLAR ACTIVITY ECMWF ERA-INTERIM SELF-ORGANISING MAPS ALGORITHM SYNOPTIC WEATHER PATTERNS SYNOPTIC TYPING SELF-ORGANISING MAPS Computer > Computer MAPS MODELS EARTH SCIENCE SERVICES OCEAN > INDIAN OCEAN SOUTHERN OCEAN CONTINENT > ANTARCTICA GEOGRAPHIC REGION > POLAR |
spellingShingle |
climatologyMeteorologyAtmosphere SOUTHERN OSCILLATION INDEX EARTH SCIENCE CLIMATE INDICATORS ATMOSPHERIC/OCEAN INDICATORS TELECONNECTIONS SOLAR SYNOPTIC MAPS SUN-EARTH INTERACTIONS SOLAR ACTIVITY ECMWF ERA-INTERIM SELF-ORGANISING MAPS ALGORITHM SYNOPTIC WEATHER PATTERNS SYNOPTIC TYPING SELF-ORGANISING MAPS Computer > Computer MAPS MODELS EARTH SCIENCE SERVICES OCEAN > INDIAN OCEAN SOUTHERN OCEAN CONTINENT > ANTARCTICA GEOGRAPHIC REGION > POLAR Daily synoptic weather types of southern Indian Ocean: January 1979-October 2018 |
topic_facet |
climatologyMeteorologyAtmosphere SOUTHERN OSCILLATION INDEX EARTH SCIENCE CLIMATE INDICATORS ATMOSPHERIC/OCEAN INDICATORS TELECONNECTIONS SOLAR SYNOPTIC MAPS SUN-EARTH INTERACTIONS SOLAR ACTIVITY ECMWF ERA-INTERIM SELF-ORGANISING MAPS ALGORITHM SYNOPTIC WEATHER PATTERNS SYNOPTIC TYPING SELF-ORGANISING MAPS Computer > Computer MAPS MODELS EARTH SCIENCE SERVICES OCEAN > INDIAN OCEAN SOUTHERN OCEAN CONTINENT > ANTARCTICA GEOGRAPHIC REGION > POLAR |
description |
Daily synoptic typing dataset for the southern Indian Ocean (30°-75°S, 40°-180° E) for the period January 1979 to October 2018 developed using self-organising maps (SOMs). The nine synoptic types represented by the nodes defined in this study included four meridional (SOM1, SOM2, SOM6 and SOM9), three mixed (SOM4, SOM7 and SOM8), a zonal (SOM3) and a transitional pattern (SOM5). Refer to Udy et al. Links between large scale modes of climate variability and synoptic weather patterns in the southern Indian Ocean. J.Climate in review. Included datasets: SOM_daily_z500_anomaly_3_3.nc includes the composite z500 daily anomaly patterns for each of the 9 SOM nodes - lat, lon, z500 anomaly, node. SOM_daily_z500_anomaly_3_3.txt includes the daily 'winning' node between 1st January 1979 and 31st October 2018. Each day is assigned to a 'winning' node between 1-9. e.g. 19790101 is assigned to SOM3. SOM code: "Kohonen" Package in R https://cran.r-project.org/web/packages/kohonen/index.html Study domain: 30°-75°S, 40°-180° E Time step / period: daily / January 1979-October 2018 Input data: ERA-Interim (https://apps.ecmwf.int/datasets/) 500hPa geopotential height (z500) daily anomalies. Climate Data Operators (CDO) was used to calculate the daily anomaly (https://code.mpimet.mpg.de/projects/cdo/) SOM algorithm parameters: refer to kohonen documentation for more information. dist.fcts (performance evaluation distance) = euclidean, grid = rect, neighbourhood function = gaussian, Nodes (number of SOM nodes) = 9, rlen (number of iterations) = 1000, alp (learning rate) = 0.05 to 0.01 and rad (radius) = 4 to 0. In the Kohonen R-package, a radius value less than or equal to one corresponds to the point where only the 'winning' node is updated by each iteration, making the SOM algorithm similar to clustering techniques (e.g. k-means). The SOM algorithm used in this study was a hybrid between SOM/clustering (75% SOM, 25% clustering). |
author2 |
UDY, DANIELLE (hasPrincipalInvestigator) UDY, DANIELLE (processor) VANCE, TESSA ROSEMARY (hasPrincipalInvestigator) VANCE, TESSA ROSEMARY (processor) KIEM, ANTHONY (hasPrincipalInvestigator) KIEM, ANTHONY (processor) HOLBROOK, NEIL (hasPrincipalInvestigator) HOLBROOK, NEIL (processor) CURRAN, MARK (hasPrincipalInvestigator) CURRAN, MARK (processor) Australian Antarctic Data Centre (publisher) |
format |
Dataset |
title |
Daily synoptic weather types of southern Indian Ocean: January 1979-October 2018 |
title_short |
Daily synoptic weather types of southern Indian Ocean: January 1979-October 2018 |
title_full |
Daily synoptic weather types of southern Indian Ocean: January 1979-October 2018 |
title_fullStr |
Daily synoptic weather types of southern Indian Ocean: January 1979-October 2018 |
title_full_unstemmed |
Daily synoptic weather types of southern Indian Ocean: January 1979-October 2018 |
title_sort |
daily synoptic weather types of southern indian ocean: january 1979-october 2018 |
publisher |
Australian Antarctic Data Centre |
url |
https://researchdata.edu.au/daily-synoptic-weather-october-2018/1597716 https://doi.org/10.4225/15/58eedf00d78fe https://data.aad.gov.au/metadata/records/AAS_4537_z500_SynopticTyping_SouthernIndianOcean http://nla.gov.au/nla.party-617536 |
op_coverage |
Spatial: northlimit=-30; southlimit=-75; westlimit=40; eastLimit=180; projection=WGS84 Temporal: From 1979-01-01 to 2018-10-31 |
long_lat |
ENVELOPE(40,180,-30,-75) |
geographic |
Indian Southern Ocean |
geographic_facet |
Indian Southern Ocean |
genre |
Antarc* Antarctica Southern Ocean |
genre_facet |
Antarc* Antarctica Southern Ocean |
op_source |
Australian Antarctic Data Centre |
op_relation |
https://researchdata.edu.au/daily-synoptic-weather-october-2018/1597716 a8cb006a-fc82-4f5f-ae5c-7c578215daf0 doi:10.4225/15/58eedf00d78fe AAS_4537_z500_SynopticTyping_SouthernIndianOcean https://data.aad.gov.au/metadata/records/AAS_4537_z500_SynopticTyping_SouthernIndianOcean http://nla.gov.au/nla.party-617536 |
op_doi |
https://doi.org/10.4225/15/58eedf00d78fe |
_version_ |
1766113947991146496 |