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The Local Variation of the Indonesian Seas Index Characteristic, Eighteen Years Analysis of Multi Sensor Satellite Remote Sensing Data.

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-Second

Circular

(plan)-Tomography

Lombok

Strait

Meeting

2015:

A

vast

challenge

to

monitor

Indonesian

Throughflow

(ITF)

Date:

November

3-7,

2015

Co-conveners:

Fadli

Syamsudin,

Xiaohua

Zhu,

Chen-Fen

Huang

and

Arata

Kaneko

SponsoredbyBPPT,UNRAM,HUandONR_Global

Purposes-

MeasurementofIndonesianThroughflow(ITF)isstillakeyissueofworldclimatechange researchbecausesystematic,long-termmeasurementofITFtransportislackedevenformajorpathways suchasMakassarStrait,LombokStraitandOmbaiStrait.ApplicabilityofCoastalAcousticTomography (CAT), an innovative oceanographic technology, to strait throughflow measurement will be intensively discussed in this meeting. Anew development of CAT (mirror-CAT) by using the mirror reflection of underwatersoundisproposedtomonitortheITFtransportinrealtimeandprovidesacriticalmaterialof discussion.Internationalcollaborationwithotherresearcherswhoadvance ongoingorplanningprojects onIndonesianseastudiesandITFisalsoanotherimportantissuetobepursuedinthemeeting.
(4)

Agenda:

Date Sessions Title&Speaker November3,2015

Openingaddress

8:30-9:00

9:00–9.15

Host:UniversityofMataram(President)

BPPT(DeputyChairman)

SEACORMKKP(Director)

Photosession

Introductoryaddress

9:15-9:45

Targetofthemeeting(ArataKaneko,HU)

Plenarysession(1)

10:00-12:00

Plenarysession(2)

14:00-17:00

Past,presentandfutureofIndonesianSeastudies

(FadliSyamsudin,BPPT)

Measuringtidalcurrentsandvolumetransport

throughawidestraitbyuseofthecoastal

acoustictomographysystem(XiaohuaZhu,

SIO/SOA)

InnovativeapplicationofCATtoKuroshio

measurement(Chen-FenHuang,NTU)

TheobservationplanofSITEandTIMITprojectsin

theIndonesianSeas(ShujiangLi,FIO/SOA)

The Local Variation of the Indonesian Seas Index

Characteristic: "Eighteen Years Analysis of Multi

Sensor Satellite Remote Sensing Data”

(I Dewa Nyoman Nurweda Putra, Udayana. Univ)

Date Sessions Title&Speaker November4,2015

Ongoingprojectsand

plan

9:00-12:00

JAMSTECprojectplantotheIndonesian

Seas(IwaoUeki,JAMSTEC)

TheSIO/SOAITFproject(ZhouLei,SIO/SOA)

Oneinvitedspeechisreservedhere.

ModelandSatellite

14:00-17:00

LombokStraitPOMmodel(HidemiMutsuda,HU)

Satellite

imagery

of

Lombok

Strait

and

the

adjacent

seas

(Yuji

Sakuno,

HU)

HiroshimaBayCATexperiment(Chuanzheng

Zhang,HU)

HiroshimaBaydataassimilation(MinmoChen,HU)

(5)

Resort

hotel

reserved

for

all

participants:

Holiday

Resort

Lombok

(about

$46/night

in

special

government

discount)

Senggigi

Beach

Lombok

83355

NTB,

Indonesia

Phone:

+62-370-693444

Fax:

+62-370-693092

http://holidayresort-lombok.com/meeting-banquet.html

Date Sessions Title&Speaker

November5,2015 9:00-12:00

CAT

BaliStraitCATexperiment(YudiAdityawarman,

BPPT)

DalianBayCATexperiment(FanXiaopeng,

SIO/SOA)

ArecentactivitytoCAT(NaokazuTaniguchi,NTU)

AnewsystemdesignofCAT(HongZheng,ZOU)

Tworegularspeechesarereservedhere.

14:00-15:30

MCAT-ITFproject(1)

Detailedexplanationofprojectdesignand

deployment(ArataKaneko,HU)

16:00-17:00

MCAT-ITFproject(2)

Datadistributionandanalysispolicy(ArataKaneko,

HU)

Date Sessions Title&Speaker November7,2015

10:00-15:00

Fieldsurvey(2) ApplicationofCATtoaquaculturefieldsissurveyed. Discussionisdeepenedbymutualcommunicationat

thisevent.

Date Sessions Title&Speaker November6,2015

10:00-15:00

Fieldsurvey(1) Tomographysiteissurveyed.

Discussionisdeepenedbymutualcommunicationat

thisevent.

Date Sessions Title&Speaker

ReceptionDinner

18:30-20:30

(6)

Acronyms:

BPPT(AgencyfortheAssessmentandApplicationofTechnology,Indonesia) UNRAM(UniversityofMataram,Indonesia)

HU(HiroshimaUniversity,Japan) UT(UniversityofTokyo,Japan)

JAMSTEC(JapanAgencyforMarine-EarthScienceandTechnology,Japan) SIO/SOA(SecondInstituteofOceanography

/StateOceanicAdministration,China) FIO/SOA(FirstInstituteofOceanography

/StateOceanicAdministration,China) ZOU(ZhejiangOceanUniversity,China)

NTU(NationalTaiwanUniversity) CU(ColumbiaUniversity)

(7)

I Dewa Nyoman Nurweda Putra

The Local Variation of the Indonesian

Seas Index Characteristic: "Eighteen

Years Analysis of Multi Sensor Satellite

Remote Sensing Data”

UDAYANA UNIVERSITY

(8)

Introduction

A semi-closed

marginal sea

Pacific and

Indian

Ocean

Asia and

Australia

continent

Unique

bathymetry

Western

<100 m

Eastern

>5000 m

Unique

pathway

Indonesian

throughflow

(ITF)

Interannual

Variability

ENSO

IOD

Pacific Ocean

Indian Ocean

Australia

SE Asia

Shallow

Deep

ITF

ENSO

IOD

Major Characteristics:

Need a relevant information and better understanding on the

features of the characteristics of indices in the Indonesian Sea.

(9)

Seasonal Variability

: Strong

: Weak

: Nearly Zero

SST

U-WS

RR

A

D

C

E

F

H

B

M

N

I

J

G

K

L

(Nurweda et al., 2013)

(10)

6-Months Variability

: Very Weak

: Weak

: Zero

SST

U-WS

RR

A

D

C

E

F

H

B

M

N

I

J

G

K

L

(Nurweda et al., 2013)

(11)

Objectives

1. To investigate the cyclical temporal variability

issues on SST index in the several areas of

Indonesian Seas.

(12)

Data Sources

Index

SST

Time Coverage

Dec 97

Jul 13 And Jan 14

Aug 15

Unit

˚

C

Spatial Res.

0.25

˚

×

0.25

˚

Temporal Res.

Monthly

Channel(s)

10.65 GHz

Product

L3 F10.7 TMI And AMSR 2

Data Center

REMSS

Index

ONI

Time Coverage

1950

2014

Product

ENSO Index

(13)

Data Analysis:

1. Detection of Cyclic Temporal Variability

-

Seasonal Variability

- 6-months Variability

(14)

Mode 1

Seasonal Variability

Mode 2

Original Data

(Java Sea)

(15)

Mode 3

6-Months Variability

Mode 4

Original Data

(Java Sea)

(16)

Data Analysis:

1. Detection of Cyclic Temporal Variability

- Seasonal Variability

- 6-months Variability

(17)

ENSO Phenomenon

The El Nino Southern Oscillation (ENSO) Mechanism

(18)

ENSO Phenomenon

Index

Area Boundary

Definition

ONI

5˚S

-

5˚N and 190˚E

-240

˚W

El Nino: The 3 months moving averages of SST is at

least 0.5 warmer than 30-year (1981-2010) average.

La Nina: The 3 months moving averages of SST is at

(19)

ENSO Signal Detection

(Proposed Method)

Removing

Seasonal

Variability

Removing 6

months

variability

3 months

Moving

Averages

Long term

monthly

average data

Extracted

from 6 month

MA

ENSO Signal

Area that shows

cyclic temporal

(20)

ENSO Signal (Area J)

NOAA

Method

Proposed

Method

Nino 3.4

Area

El Nino

(21)

ENSO Signal (Java Sea)

3-Months MA

New Proposed Method

La Nina

El Nino

(22)

Conclusions

The strong cyclical temporal variability exists in the

SST index of Indonesian Seas.

The result of NOAA method could not remove the

strong cyclical temporal variability.

(23)

Contact Information

Dr. I Dewa Nyoman Nurweda Putra

Ocean Remote Sensing

Faculty of Marine Science and Fisheries

Centre for Remote Sensing and Ocean Sciences

Udayana University

Email: nurweda14@unud.ac.id

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