kaplunenko dmitry*, ro young jae** and kim eung**
DESCRIPTION
Web-based Optimal Interpolation of the Hydrographic data sets from Various Sources for the East Sea. Kaplunenko Dmitry*, Ro Young Jae** and Kim Eung** *V.I. Il’ichev Pacific Oceanological Institute, Vladivostok, Russia **Chungnam National University, Daejeon, Republic of Korea. Introduction. - PowerPoint PPT PresentationTRANSCRIPT
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Web-based Optimal Interpolation of the Web-based Optimal Interpolation of the Hydrographic data sets from Various Hydrographic data sets from Various
Sources for the East SeaSources for the East Sea
Kaplunenko Dmitry*, Ro Young Jae** and Kim Eung**Kaplunenko Dmitry*, Ro Young Jae** and Kim Eung***V.I. Il’ichev Pacific Oceanological Institute, Vladivostok, Russia*V.I. Il’ichev Pacific Oceanological Institute, Vladivostok, Russia**Chungnam National University, Daejeon, Republic of Korea**Chungnam National University, Daejeon, Republic of Korea
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IntroductionIntroduction
This work describes:
• Technique for optimal interpolation of hydrographic datasets from various sources for the East/Japan Sea.
• Using the Virtual Database (VDB) technology for the various available data in the region the datasets for specific research
• The sample of application of interpolated dataset
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Development of oceanographic data assimilation Development of oceanographic data assimilation technology for making comprehensive dataset of technology for making comprehensive dataset of
East Sea historical observations.East Sea historical observations.
• Making quick selection of data sample from different databases/archives distributed worldwide have been a reason of using VDB-technology in the developing of comprehensive dataset.
Korean dataset
Russian dataset
Japanese dataset
VDB
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VDB implementationVDB implementation• It have been decided to implement VDB as
a web-site user interface.
Profits:
• Multiple users access
• Real-time data processing with desired parameters for each user
• OS-independent results
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Development software for combining data sample Development software for combining data sample in a real time mode from different databases.in a real time mode from different databases.
Technical features of VDB-implementation:
• Computer: Intel Pentium 4 1500 Mhz, 512 Ram• OS: Windows XP• Web-server: Apache• User-interface language programming: PHP 4.3• VDB-engine: IDL – virtual machine.• Web-address: http://vdb-eastsea.poi.dvo.ru/
The current VDB-implementation is portable for running under UNIX-like systems
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Samples of web-interfaceSamples of web-interface
Main pageMain page
Parameters choice pageParameters choice page
Result visualization pageResult visualization page
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Web-site contentWeb-site content
• Argo Drifters Data (http://argo.metri.re.kr/) (Section OI-maintain http://vdb-eastsea.poi.dvo.ru/oi_queryform3.php)• CTD-data of historical observations
(full list is below or http://vdb-eastsea.poi.dvo.ru/data-list.htm)• Manuals useful in creation of this site• Reference list of information involved in
this project development• Reports for the KOSEF
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Sample of using VDB-datasetSample of using VDB-dataset
One of possible practical implementation of using VDB-technology for various datasets:
• Mesoscale eddies study.Used data:
• *Rev-07 – r/v Roger Revele Cruise #7, June 1999 (POI, Scripps Institution of Oceanography (SIO)• *Kh-36 – r/v Professor Khromov Cruise #36, July – August 1999 (POI, FERHRI, SIO)• *Ga-30 – r/v Professor Professor Gagarinsky Cruise #30, July 2000 (POI)• **Korean Oceanographic Data Center (KODC), http://www.nfrda.re.kr/kodc/data/sodata/index.html• ***JODC Data On-line Service System (http://jdoss1.jodc.go.jp/) which is related to NEAR-GOOS Regional
Delayed Mode Data Base (RDMDB, http://near-goos1.jodc.go.jp/)
№ Year Month Russian data Korean data Japanese data
1 1999 June Rev-07* ** ***
2 1999 July-August Kh-36* ** ***
3 2000 October Ga-30* ** ***
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Data selection for the East Sea Data selection for the East Sea mesoscale eddies study.mesoscale eddies study.
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Mesoscale eddies location (Summer 1999)
• Using NOAA satellite infrared images and merged TOPEX/POSEIDON- ERS satellite altimeter data mesoscale eddy structure have been analyzed at the intermediate layer (white circles show location of mesoscale eddies).
• This page presents intermediate water structure for Summer of 1999 (temperature and salinity)
• Generally the interpolated fields’ data anomalies correspond to observed from satellite eddies locations.
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Mesoscale eddies location (October 2000)
• For October 2000 the similar result have been obtained - data anomalies correspond to observed from satellite eddies locations.
• exact matching is not observed in all cases of considered data comparison.
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Conclusions • The VDB-technology have been implemented for
Hydrographic data sets from Various Sources for the East Sea
• Seasonal fields of thermohaline characteristics have been obtained with ability to interactive change of its parameters sets (kriging/optimal interpolations for mentioned data sets).
• Obtained field is compiled comprehensively from different archives of GOOS projects countries participants and available online from the dedicated web-site with the VDB-engine.
• Interpolated fields’ data anomalies correspond to observed from satellite eddies locations for summer 1999 and October 2000.
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Acknowledgments • For provided datasets and mesoscale eddies
locations for observed period:
Dr. Viacheslav B. Lobanov
Ms. Svetlana Y. Ladychenko
(V.I. Il’ichev Pacific Oceanological Institute, Vladivostok, RussiaV.I. Il’ichev Pacific Oceanological Institute, Vladivostok, Russia)
• For funding this study:
Korea Science and Engineering Foundation (APEC post doctoral fellowship program)
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Thank you for Thank you for your attention!your attention!