Tomography Lombok Strait Meeting 2015:

Size: px

Start display at page:

Download "Tomography Lombok Strait Meeting 2015:"

Theodore Johnson
6 years ago
Views:

-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

3 -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 Sponsored by BPPT, UNRAM, HU and ONR_Global Purposes-Measurement of Indonesian Throughflow (ITF) is still a key issue of world climate change research because systematic, long-term measurement of ITF transport is lacked even for major pathways such as Makassar Strait, Lombok Strait and Ombai Strait. Applicability of Coastal Acoustic Tomography (CAT), an innovative oceanographic technology, to strait throughflow measurement will be intensively discussed in this meeting. A new development of CAT (mirror-cat) by using the mirror reflection of underwater sound is proposed to monitor the ITF transport in real time and provides a critical material of discussion. International collaboration with other researchers who advance ongoing or planning projects on Indonesian sea studies and ITF is also another important issue to be pursued in the meeting. Providedby Yuji Sakuno (HU)

4 Agenda: Date Sessions Title & Speaker November 3, 2015 Opening address 8:30-9:00 9: Host: University of Mataram (President) BPPT (Deputy Chairman) SEACORM KKP (Director) Photo session Introductory address 9:15-9:45 Target of the meeting (Arata Kaneko, HU) Plenary session (1) 10:00-12:00 Plenary session (2) 14:00-17:00 Past, present and future of Indonesian Sea studies (Fadli Syamsudin, BPPT) Measuring tidal currents and volume transport through a wide strait by use of the coastal acoustic tomography system (Xiaohua Zhu, SIO/SOA) Innovative application of CAT to Kuroshio measurement (Chen-Fen Huang, NTU) The observation plan of SITE and TIMIT projects in the Indonesian Seas (Shujiang Li, 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 November 4, 2015 Ongoing projects and plan 9:00-12:00 Model and Satellite 14:00-17:00 JAMSTEC project plan to the Indonesian Seas (Iwao Ueki, JAMSTEC) The SIO/SOAITF project (Zhou Lei, SIO/SOA) One invited speech is reserved here. Lombok Strait POM model(hidemi Mutsuda, HU) Satellite imagery of Lombok Strait and the adjacent seas (Yuji Sakuno, HU) Hiroshima Bay CAT experiment (Chuanzheng Zhang, HU) Hiroshima Bay data assimilation (Minmo Chen, HU) Two regular speeches are reserved here.

5 Date Sessions Title & Speaker Reception Dinner 18:30-20:30 All participants are invited. Date Sessions Title & Speaker Bali Strait CAT experiment (Yudi Adityawarman, BPPT) November 5, :00-12:00 CAT 14:00-15:30 MCAT-ITF project (1) 16:00-17:00 MCAT-ITF project (2) Dalian Bay CAT experiment (Fan Xiaopeng, SIO/SOA) A recent activity to CAT (NaokazuTaniguchi, NTU) A new system design of CAT (Hong Zheng, ZOU) Two regular speeches are reserved here. Detailed explanation of projectdesign and deployment (Arata Kaneko, HU) Data distribution and analysis policy (Arata Kaneko, HU) Date Sessions Title & Speaker November 6, :00-15:00 Field survey (1) Tomography site is surveyed. Discussion is deepened by mutual communication at this event. Date Sessions Title & Speaker November 7, :00-15:00 Field survey (2) Application of CAT to aquaculture fields is surveyed. Discussion is deepened by mutual communication at this event. Resort hotel reserved for all participants: Holiday Resort Lombok (about $46/night in special government discount) Senggigi Beach Lombok NTB, Indonesia Phone: Fax:

6 Acronyms: BPPT (Agency for the Assessment and Application of Technology, Indonesia) UNRAM (University of Mataram, Indonesia) HU (Hiroshima University, Japan) UT (University of Tokyo, Japan) JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Japan) SIO/SOA (Second Institute of Oceanography /State Oceanic Administration, China) FIO/SOA (First Institute of Oceanography /State Oceanic Administration, China) ZOU (Zhejiang Ocean University, China) NTU (National Taiwan University) CU (Columbia University) SIO (Scripps Institution of Oceanography) ONR (Office of Naval Research)

7 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 UNIVERSITY 2015

Introduction SE Asia Major Characteristics: Pacific Ocean ITF A semi-closed marginal sea Pacific and Indian Ocean Asia and Australia continent IOD Shallow Indian Ocean Australia Deep ENSO Unique

8 Introduction SE Asia Major Characteristics: Pacific Ocean ITF A semi-closed marginal sea Pacific and Indian Ocean Asia and Australia continent IOD Shallow Indian Ocean Australia Deep ENSO Unique bathymetry Unique pathway Western <100 m Indonesian throughflow (ITF) Eastern >5000 m (Meter) Interannual Variability ENSO IOD Need a relevant information and better understanding on the features of the characteristics of indices in the Indonesian Sea.

9 Seasonal Variability M N H I J K L D C E F A G B SST U-WS RR The Inner Indonesian Seas (Nurweda et al., 2013) : Strong : Weak : Nearly Zero

10 6-Months Variability M N H I J K L D C E F A G B SST U-WS RR The Inner Indonesian Seas (Nurweda et al., 2013) : Very Weak : Weak : Zero

11 Objectives 1. To investigate the cyclical temporal variability issues on SST index in the several areas of Indonesian Seas. 2. To improve the detection of the ENSO signal for the area that show a cyclic temporal variability.

12 Data Sources Index SST Time Coverage Dec 97 Jul 13 And Jan 14 Aug 15 Unit C Spatial Res Temporal Res. Monthly Channel(s) GHz Product L3 F10.7 TMI And AMSR 2 Data Center REMSS Index ONI Time Coverage Product ENSO Index Data Center NOAA

13 Data Analysis: 1. Detection of Cyclic Temporal Variability - Seasonal Variability - 6-months Variability 2. Detection of the ENSO Signal

14 Seasonal Variability Original Data (Java Sea) Mode 1 SSA Mode 2

15 6-Months Variability Original Data (Java Sea) Mode 3 SSA Mode 4

16 Data Analysis: 1. Detection of Cyclic Temporal Variability - Seasonal Variability - 6-months Variability 2. Detection of the ENSO Signal

17 ENSO Phenomenon Source : NOAA 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 ( ) average. La Nina: The 3 months moving averages of SST is at least 0.5 cooler than 30-year ( ) average.

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 Area that shows cyclic temporal variability ENSO Signal

20 ENSO Signal (Area J) El Nino NOAA Method Proposed Method Nino 3.4 Area La Nina

21 ENSO Signal (Java Sea) 3-Months MA New Proposed Method El Nino La Nina (Nurweda et al., 2013)

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. The proposed method significantly improves the ENSO signal detection for the area that show a cyclic 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 nurweda14@unud.ac.id nurweda14@gmail.com

Initial Observation of High Resolution Velocity Profile and Stratification in the Sunda Strait

Initial Observation of High Resolution Velocity Profile and Stratification in the Sunda Strait LONG-TERM GOALS PI: R. Dwi Susanto Lamont-Doherty Earth Observatory of Columbia University 61 Route 9W, Palisades,