Data

Sydney Harbour Environmental Data Facility Sonde survey Data 81605

The University of Sydney
The University of Sydney (Managed by) University of Sydney (Managed by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://sho.sydney.edu.au/&rft.title=Sydney Harbour Environmental Data Facility Sonde survey Data 81605&rft.identifier=81605&rft.publisher=The University of Sydney&rft.description= This dataset contains temperature, salinity and depth data for an underway survey of Sydney Harbour using the Sydney Institute of Marine Science YSI model 6600 V2 sonde.The data were taken as part of a Carbon Dioxide budget analysis for Sydney Harbour. The data collected will also be used to improve the capability of computer programs to model the harbor conditions.The sonde instrument was mounted onto the stern of the SIMS vessel with a pump attached to a hose providing surface water intake. Environmental parameter measurements were taken every 10 seconds. The data reported are 1 minute intervals to coincide with the location and CO2 underway data captured.Reference: YSI product website: http://www.ysi.com/productsdetail.php?6600V2-1&rft.creator=Anonymous&rft.date=2014&rft.relation=http://dx.doi.org/doi:10.1029/2011GB004075&rft.coverage=151.2854598,-33.82657506 151.2840274,-33.82672995 151.2824191,-33.8268996 151.2810314,-33.82720345 151.2793573,-33.82747611 151.2780868,-33.82774894 151.2766747,-33.82811171 151.2751605,-33.828751 151.2741567,-33.82943169 151.273242,-33.83041908 151.2722882,-33.83129884 151.2713011,-33.83241305 151.270446,-33.83324068 151.2694972,-33.83419722 151.2686078,-33.83558116 151.2682438,-33.83637576 151.2674419,-33.83752392 151.2661477,-33.83825448 151.2646963,-33.83912017 151.2635403,-33.84005131 151.2619353,-33.84148554 151.2610251,-33.84232549 151.2594915,-33.84375888 151.258487,-33.84480385 151.2571806,-33.84643958 151.2564629,-33.84763719 151.2555446,-33.84917392 151.2549278,-33.85039877 151.2540333,-33.85190601 151.2529799,-33.85294033 151.2509441,-33.85383451 151.2495194,-33.85463012 151.247482,-33.85468201 151.2460099,-33.85508241 151.2437523,-33.85490924 151.2421554,-33.85473414 151.2405794,-33.85462526 151.2383795,-33.85474479 151.2368674,-33.85458344 151.2348436,-33.85381482 151.2335033,-33.85328072 151.2314671,-33.85285559 151.2297402,-33.85298853 151.2281962,-33.85301175 151.2262399,-33.85302113 151.2242691,-33.85301116 151.2228944,-33.85306732 151.220966,-33.85351717 151.2189325,-33.8537222 151.2174408,-33.85356981 151.215486,-33.85312163 151.2138503,-33.85274621 151.2122495,-33.85247078 151.2107338,-33.85221563 151.2091334,-33.85209577 151.2074613,-33.85208521 151.2054246,-33.85200491 151.2038675,-33.85205663 151.2033343,-33.85210172 151.2034942,-33.8521847 151.203651,-33.85228864 151.2038253,-33.85240154 151.2040351,-33.85236735 151.2027604,-33.85149756 151.2013432,-33.85066934 151.1993367,-33.84995017 151.1977447,-33.84966502 151.1955224,-33.84960257 151.193791,-33.849331 151.1933797,-33.84954751 151.1925979,-33.84902724 151.191112,-33.84798881 151.1896482,-33.84673538 151.1886683,-33.84629432 151.1872171,-33.84534406 151.1850564,-33.84477887 151.1837476,-33.84476747 151.181361,-33.84460059 151.179763,-33.84457712 151.1781472,-33.84422969 151.1760701,-33.84415199 151.1744724,-33.84425802 151.1743523,-33.84433237 151.1742783,-33.84431954 151.1741497,-33.84436942 151.1740939,-33.84438559 151.1740078,-33.84442742 151.1739653,-33.84447821 151.1738791,-33.84457578 151.1714873,-33.84476714 151.1702023,-33.84485104 151.1687068,-33.84522261 151.1661661,-33.84539654 151.164642,-33.84569795 151.1643216,-33.84567666 151.1632309,-33.84596391 151.1610518,-33.84579593 151.1593931,-33.84512094 151.1581941,-33.84392811 151.1569635,-33.84268004 151.1555238,-33.8416018 151.1536879,-33.84077065 151.152929,-33.84033353 151.1514228,-33.84047116 151.149698,-33.84107801 151.1479151,-33.84174127 151.1461831,-33.84233052 151.1443061,-33.84270175 151.1424328,-33.8432884 151.1409801,-33.84395191 151.1395779,-33.84470494 151.1377857,-33.84542881 151.1362756,-33.8461499 151.1343549,-33.84617572 151.1329502,-33.84529084 151.1319294,-33.8433832 151.1303105,-33.84300887 151.1285058,-33.8427207 151.1266395,-33.84276152 151.1250818,-33.84249765 151.1235739,-33.84171797 151.1222223,-33.84085681 151.1203489,-33.84014796 151.1193665,-33.83977127 151.1176337,-33.83916258 151.1160927,-33.83853821 151.1143679,-33.83770505 151.1136364,-33.83741931 151.1132441,-33.83716106 151.1122414,-33.83675261 151.1106524,-33.83660962 151.1090881,-33.83648297 151.1076655,-33.83592951 151.1064351,-33.83475529 151.1051873,-33.83368492 151.1033363,-33.83306374 151.1023292,-33.832677 151.1002681,-33.83148652 151.0997775,-33.83112643 151.0997486,-33.83102383 151.0996951,-33.83093281 151.0996331,-33.83087547 151.0995533,-33.83087439 151.0994655,-33.83078034 151.0993681,-33.83074589 151.0991514,-33.83058404 151.0990474,-33.83050558 151.0989401,-33.83046258 151.0988131,-33.83040458 151.0986684,-33.8303128 151.0983422,-33.82949657 151.0979521,-33.82822973 151.0975467,-33.82698711 151.0969079,-33.8257118 151.0950996,-33.82316077 151.093531,-33.82239567 151.0917748,-33.82195042 151.0901144,-33.82176099 151.0878775,-33.82153183 151.0865621,-33.82131281 151.0846798,-33.82112347 151.0827455,-33.82072843 151.0808011,-33.8210746 151.0780564,-33.82142153 151.0765594,-33.82087226 151.0744344,-33.81982528 151.073178,-33.81969058 151.0712375,-33.82039432 151.0699823,-33.82127644 151.0692346,-33.82166116 151.0690041,-33.82177248 151.0688612,-33.82183727 151.0683771,-33.8219801 151.068293,-33.82199745 151.0681987,-33.82197205 151.0682874,-33.82212963 151.0680952,-33.82240573 151.0671811,-33.82335389 151.0658052,-33.82401883 151.0642447,-33.82445829 151.0625197,-33.82457421 151.0592272,-33.82383602 151.0574663,-33.82385991 151.0557618,-33.82395471 151.0543228,-33.82429124 151.0525014,-33.82412134 151.0507247,-33.82403492 151.0490447,-33.82396468 151.0480487,-33.82299196 151.0470109,-33.82177809 151.0450921,-33.81928733 151.0439691,-33.81827731 151.0425082,-33.81776182 151.0408997,-33.81767783 151.0392168,-33.81796542 151.0375735,-33.81887779 151.0360014,-33.81908775 151.0344472,-33.81877846 151.0327391,-33.81846297 151.029464,-33.81790373 151.0276998,-33.81763081 151.0263297,-33.81693956 151.026349,-33.81521674 151.0249738,-33.81450587 151.0235068,-33.81428367 151.0215102,-33.81434779 151.0207036,-33.81478038 151.0192333,-33.81554263 151.0153028,-33.81607848 151.0135398,-33.81562913 151.0121344,-33.81516175 151.0110111,-33.81432675 151.0105102,-33.81344623 151.0104499,-33.81331782 151.0105089,-33.81328178 151.0105048,-33.81332184 151.0105336,-33.81331472 151.0105185,-33.81328848 151.0105393,-33.81326702 151.0105027,-33.8132858 151.010518,-33.81326057 151.0104919,-33.81331237 151.0105564,-33.81330592 151.0105969,-33.81328404 151.010616,-33.81331086&rft_rights=This work is licensed under a Creative Commons Attribution Australia 3.0 License http://creativecommons.org/licenses/by/3.0/au/&rft_subject=OCEANOGRAPHY&rft_subject=EARTH SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=FISHERIES SCIENCES&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=COMPUTER SOFTWARE&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=DATA FORMAT&rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Open Licence view details
CC-BY

This work is licensed under a Creative Commons Attribution Australia 3.0 License
http://creativecommons.org/licenses/by/3.0/au/

Access:

Other view details

This work is Open Access. Download from http://sho.sydney.edu.au.

Full description

This dataset contains temperature, salinity and depth data for an underway survey of Sydney Harbour using the Sydney Institute of Marine Science YSI model 6600 V2 sonde.

The data were taken as part of a Carbon Dioxide budget analysis for Sydney Harbour. The data collected will also be used to improve the capability of computer programs to model the harbor conditions.

The sonde instrument was mounted onto the stern of the SIMS vessel with a pump attached to a hose providing surface water intake. Environmental parameter measurements were taken every 10 seconds. The data reported are 1 minute intervals to coincide with the location and CO2 underway data captured.

Reference: YSI product website: http://www.ysi.com/productsdetail.php?6600V2-1

Data time period: 04 02 2013 to 05 02 2013

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related Publications

  • Associated with Carbon budgets for three autotrophic Australian estuaries: Implications for global estimates of the coastal air-water CO2flux
    doi : 10.1029/2011GB004075

    Publication details Maher, DT & Eyre, BD 2012, 'Carbon budgets for three autotrophic Australian estuaries: implications for global estimates of the coastal air-water CO 2 flux', Global Biogeochemical Cycles: An International Journal of Global Change, vol. 26, gb. 1032. Abstract Estuaries are ‘hot spots’ in the global carbon cycle, yet data on carbon dynamics, in particular air-sea CO2 fluxes, from autotrophic systems are rare. Estuarine carbon budgets were constructed for three geomorphically distinct warm temperate Australian estuaries over an annual cycle. All three estuaries were net autotrophic, with annual net ecosystem metabolism (NEM) ranging from 8 ± 13.4 molC m−2 yr−1 to 10 ± 14 molC m−2 yr−1. There was a net flux of CO2 from the atmosphere to the estuaries of between 0.4 ± 0.6 molC m−2 yr−1 and 2 ± 0.9 molC m−2 yr−1. Loading of dissolved inorganic carbon (DIC) and dissolved organic carbon (DOC) to the estuaries varied markedly within and between the estuaries, and was directly related to freshwater inflow. While NEM was similar in all three estuaries, the ratio of benthic versus pelagic contributions to NEM differed, with NEM dominated by pelagic production in the river dominated system, benthic production dominating in the intermediate estuary, and equal contributions of benthic and pelagic production in the marine dominated lagoon. All three estuaries exported more organic carbon than was imported, fueled by additional organic carbon supplied by NEM. The estuaries essentially acted as bioreactors, transforming DIC to organic carbon. Burial of organic carbon ranged from 1.2 ± 0.3 molC m−2 yr−1 to 4.4 ± 1.2 molC m−2 yr−1 and represented up to half of NEM. The annual net uptake of atmospheric CO2 in these systems, along with previous estimates of the global estuarine CO2 flux being based predominantly on heterotrophic, large river dominated estuarine systems, indicates that the global estimate of the estuarine air-water CO2 flux may be over-estimated due to the lack of studies from autotrophic marine dominated estuaries.

Related Organisations

Related Grants and Projects

151.2854598,-33.82657506 151.2840274,-33.82672995 151.2824191,-33.8268996 151.2810314,-33.82720345 151.2793573,-33.82747611 151.2780868,-33.82774894 151.2766747,-33.82811171 151.2751605,-33.828751 151.2741567,-33.82943169 151.273242,-33.83041908 151.2722882,-33.83129884 151.2713011,-33.83241305 151.270446,-33.83324068 151.2694972,-33.83419722 151.2686078,-33.83558116 151.2682438,-33.83637576 151.2674419,-33.83752392 151.2661477,-33.83825448 151.2646963,-33.83912017 151.2635403,-33.84005131 151.2619353,-33.84148554 151.2610251,-33.84232549 151.2594915,-33.84375888 151.258487,-33.84480385 151.2571806,-33.84643958 151.2564629,-33.84763719 151.2555446,-33.84917392 151.2549278,-33.85039877 151.2540333,-33.85190601 151.2529799,-33.85294033 151.2509441,-33.85383451 151.2495194,-33.85463012 151.247482,-33.85468201 151.2460099,-33.85508241 151.2437523,-33.85490924 151.2421554,-33.85473414 151.2405794,-33.85462526 151.2383795,-33.85474479 151.2368674,-33.85458344 151.2348436,-33.85381482 151.2335033,-33.85328072 151.2314671,-33.85285559 151.2297402,-33.85298853 151.2281962,-33.85301175 151.2262399,-33.85302113 151.2242691,-33.85301116 151.2228944,-33.85306732 151.220966,-33.85351717 151.2189325,-33.8537222 151.2174408,-33.85356981 151.215486,-33.85312163 151.2138503,-33.85274621 151.2122495,-33.85247078 151.2107338,-33.85221563 151.2091334,-33.85209577 151.2074613,-33.85208521 151.2054246,-33.85200491 151.2038675,-33.85205663 151.2033343,-33.85210172 151.2034942,-33.8521847 151.203651,-33.85228864 151.2038253,-33.85240154 151.2040351,-33.85236735 151.2027604,-33.85149756 151.2013432,-33.85066934 151.1993367,-33.84995017 151.1977447,-33.84966502 151.1955224,-33.84960257 151.193791,-33.849331 151.1933797,-33.84954751 151.1925979,-33.84902724 151.191112,-33.84798881 151.1896482,-33.84673538 151.1886683,-33.84629432 151.1872171,-33.84534406 151.1850564,-33.84477887 151.1837476,-33.84476747 151.181361,-33.84460059 151.179763,-33.84457712 151.1781472,-33.84422969 151.1760701,-33.84415199 151.1744724,-33.84425802 151.1743523,-33.84433237 151.1742783,-33.84431954 151.1741497,-33.84436942 151.1740939,-33.84438559 151.1740078,-33.84442742 151.1739653,-33.84447821 151.1738791,-33.84457578 151.1714873,-33.84476714 151.1702023,-33.84485104 151.1687068,-33.84522261 151.1661661,-33.84539654 151.164642,-33.84569795 151.1643216,-33.84567666 151.1632309,-33.84596391 151.1610518,-33.84579593 151.1593931,-33.84512094 151.1581941,-33.84392811 151.1569635,-33.84268004 151.1555238,-33.8416018 151.1536879,-33.84077065 151.152929,-33.84033353 151.1514228,-33.84047116 151.149698,-33.84107801 151.1479151,-33.84174127 151.1461831,-33.84233052 151.1443061,-33.84270175 151.1424328,-33.8432884 151.1409801,-33.84395191 151.1395779,-33.84470494 151.1377857,-33.84542881 151.1362756,-33.8461499 151.1343549,-33.84617572 151.1329502,-33.84529084 151.1319294,-33.8433832 151.1303105,-33.84300887 151.1285058,-33.8427207 151.1266395,-33.84276152 151.1250818,-33.84249765 151.1235739,-33.84171797 151.1222223,-33.84085681 151.1203489,-33.84014796 151.1193665,-33.83977127 151.1176337,-33.83916258 151.1160927,-33.83853821 151.1143679,-33.83770505 151.1136364,-33.83741931 151.1132441,-33.83716106 151.1122414,-33.83675261 151.1106524,-33.83660962 151.1090881,-33.83648297 151.1076655,-33.83592951 151.1064351,-33.83475529 151.1051873,-33.83368492 151.1033363,-33.83306374 151.1023292,-33.832677 151.1002681,-33.83148652 151.0997775,-33.83112643 151.0997486,-33.83102383 151.0996951,-33.83093281 151.0996331,-33.83087547 151.0995533,-33.83087439 151.0994655,-33.83078034 151.0993681,-33.83074589 151.0991514,-33.83058404 151.0990474,-33.83050558 151.0989401,-33.83046258 151.0988131,-33.83040458 151.0986684,-33.8303128 151.0983422,-33.82949657 151.0979521,-33.82822973 151.0975467,-33.82698711 151.0969079,-33.8257118 151.0950996,-33.82316077 151.093531,-33.82239567 151.0917748,-33.82195042 151.0901144,-33.82176099 151.0878775,-33.82153183 151.0865621,-33.82131281 151.0846798,-33.82112347 151.0827455,-33.82072843 151.0808011,-33.8210746 151.0780564,-33.82142153 151.0765594,-33.82087226 151.0744344,-33.81982528 151.073178,-33.81969058 151.0712375,-33.82039432 151.0699823,-33.82127644 151.0692346,-33.82166116 151.0690041,-33.82177248 151.0688612,-33.82183727 151.0683771,-33.8219801 151.068293,-33.82199745 151.0681987,-33.82197205 151.0682874,-33.82212963 151.0680952,-33.82240573 151.0671811,-33.82335389 151.0658052,-33.82401883 151.0642447,-33.82445829 151.0625197,-33.82457421 151.0592272,-33.82383602 151.0574663,-33.82385991 151.0557618,-33.82395471 151.0543228,-33.82429124 151.0525014,-33.82412134 151.0507247,-33.82403492 151.0490447,-33.82396468 151.0480487,-33.82299196 151.0470109,-33.82177809 151.0450921,-33.81928733 151.0439691,-33.81827731 151.0425082,-33.81776182 151.0408997,-33.81767783 151.0392168,-33.81796542 151.0375735,-33.81887779 151.0360014,-33.81908775 151.0344472,-33.81877846 151.0327391,-33.81846297 151.029464,-33.81790373 151.0276998,-33.81763081 151.0263297,-33.81693956 151.026349,-33.81521674 151.0249738,-33.81450587 151.0235068,-33.81428367 151.0215102,-33.81434779 151.0207036,-33.81478038 151.0192333,-33.81554263 151.0153028,-33.81607848 151.0135398,-33.81562913 151.0121344,-33.81516175 151.0110111,-33.81432675 151.0105102,-33.81344623 151.0104499,-33.81331782 151.0105089,-33.81328178 151.0105048,-33.81332184 151.0105336,-33.81331472 151.0105185,-33.81328848 151.0105393,-33.81326702 151.0105027,-33.8132858 151.010518,-33.81326057 151.0104919,-33.81331237 151.0105564,-33.81330592 151.0105969,-33.81328404 151.010616,-33.81331086

151.14795485,-33.83417149

Subjects
Agricultural and Veterinary Sciences | Computer Software | Data Format | Earth Sciences | Environmental Science and Management | Environmental Sciences | Fisheries Sciences | Information and Computing Sciences | Oceanography |

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
  • Local : 81605
Similar data you may be interested in: