Web-based Optimal Interpolation of the Hydrographic data sets from Various Sources for the East Sea...

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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

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

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

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

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

Samples of web-interfaceSamples of web-interface

Main pageMain page

Parameters choice pageParameters choice page

Result visualization pageResult visualization page

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

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* ** ***

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

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.

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.

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.

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)

Thank you for Thank you for your attention!your attention!