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Kaplunenko Dmitry*, Ro Young Jae** and Kim Eung**

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.

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Kaplunenko Dmitry*, Ro Young Jae** and Kim Eung**

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  1. 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

  2. Introduction 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

  3. Development of oceanographic data assimilation technology for making comprehensive dataset of 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. Russian dataset VDB Korean dataset Japanese dataset

  4. VDB 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

  5. Development software for combining data sample 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

  6. Samples of web-interface Main page Parameters choice page Result visualization page

  7. Web-site content • Argo Drifters Data (http://argo.metri.re.kr/) (Section OI-maintainhttp://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

  8. Sample 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/)

  9. Data selection for the East Sea mesoscale eddies study.

  10. 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.

  11. 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.

  12. 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.

  13. 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, Russia) • For funding this study: Korea Science and Engineering Foundation (APEC post doctoral fellowship program)

  14. Thank you for your attention!

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