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. Korean dataset Russian dataset Japanese dataset VDB

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/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/)http://argo.metri.re.kr/ (Section OI-maintain http://vdb-eastsea.poi.dvo.ru/oi_queryform3.php ) 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 ) 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.htmlhttp://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/)http://jdoss1.jodc.go.jp/http://near-goos1.jodc.go.jp/ №YearMonthRussian dataKorean dataJapanese data 11999JuneRev-07****** 21999July-AugustKh-36****** 32000OctoberGa-30******

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 ( 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!