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Dr.Balakrishnan Nair [email protected] Indo-Norwegian winter school on operational oceanography: Indian ocean circulation and sea level variation ,16-21 October, 2016, INCOIS, India

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Dr.Balakrishnan [email protected]

Indo-Norwegian winter school on operational oceanography: Indian oceancirculation and sea level variation ,16-21 October, 2016, INCOIS, India

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Oceanogenic Hazards

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Sea State/ Marine-met/Tectonic

Sea State/ Marine-met/Tectonic

General CirculationGeneral Circulation

Wave, Swell, Wind,Visibility, Cyclone, Storm

surge, Tsunami

Surface current, , SST, T&Sprofile, mixed layer depth,

thermocline, undercurrents,tides

Ocean Forecast- the parameters

General Circulation

Biogeochemical/Ecological

Biogeochemical/Ecological

Marine PollutionMarine Pollution

Nutrients, Chlorophyll,Oxygen, productivity,

Fishery, HAB

Oilspill, Pollutants etc.

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Early Warning

Geospatial & Web

• Tsunami• Storm/swell surge• High Waves• Coral Bleach Alert

• Ocean State Forecast• Marine Fishery Advisories

• MHV Mapping Services• Web Based Services

Com

pute

r Inf

ra

Operational Ocean Services from INCOIS

Daily Forecast

Geospatial & Web • MHV Mapping Services• Web Based Services

Data Services

Regional Forecast Centres

• Insitu• Satellite

• East Coast• West Coast

Com

mun

icat

ion

Com

pute

r Inf

ra

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SOP Early Warning• Observation• (satellite & Insitu)

• Modeling• (Numerical/statistical/

Soft computing

• Verification

Component of Ocean forecast Systems

• Verification

• ICT based

• Regular• Onsite• INCOIS

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Argo Floats102/305

Moored Buoys20 NIOT + 13 RAMA

Drifting Buoys10

XBT3 lines

Current MeterArrays - 3

NIO/INCOISNIOT/INCOISINCOIS NIO/INCOIS NIO/INCOIS

Coastal ADCP6 + 4

NIO/INCOIS

In-situ Observation Systems by India

TideGauges - 21

NIOT/NCAOR/CMLREResearch Vessels

3 + 3

INCOIS/SOI

Tsunami Buoy

SATELLITE

NIOT/INCOIS

BPR

AcousticTransducers

Antenna

Tsunami Buoy

SATELLITE

NIOT/INCOIS

BPR

AcousticTransducers

Antenna

Deep OceanTsunami Buoys - 7

CoastalRadars - 10

Bhuj BhopalBokaro

Chennai

DehradunSamlaDharamshala

DELHI

HYDERABAD

Goa

Pune

Shillong

ThiruvananthapuramMinicoy

Vishakapattinam

Diglipur

Seismic Network17 + 100

NIOT/INCOIS NIOT IMD

Ship AWS6

INCOIS

Wave Rider Buoys10

INCOIS

Bio Optical Observations

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15

12

35

07

31

806

35

In-situ Observation Systems by India

35

12

10

23

05

04

00

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Model Name Model Products Setup Temporal resolution

ROMS General circulation parameters RegionalCoastal

Every 6 hour for 7 days

Spectral Wave model(Flexible mesh)

Wave/Swell paremetrs/High waveAlert

Regional,Coastal and Locationspecific

Every 3 hour for 7 days

WAVEWATCH-III(Single grid) Wave/Swell paremters Global Every 6 hour for 5 days

SWAN Wave/Swell parametrs/High waveAlert Coastal Every 3 hour for 7 days

WAVEWATCH III(Multi grid) Wave/Swell paremters Global and Regional Every 6 hour for 5 days

Numerical models for Early Forecast generation

WAVEWATCH III(Multi grid) Wave/Swell paremters Global and Regional Every 6 hour for 5 days

GNOME Oil spill trajecory Location specific 3 hours

WRF Wind RegionalCoastal Every 1 hour for 5 days

GODAS General circulation parameters Global Every 6 hour for 7 days

Search & Rescue Model Probable location of lost objects Location specific Event Based

Tunami-N2 Amplitude and travel time of Tsunamiwaves Regional Event Based

ADCIRC+SWAN+WRF Inundation Height and extent of stormsurge Coastal Event Based

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Standard Operating Procedure

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General Forecast Products• Global Forecast

• Regional – 7 Regions

• Coastal – 9 Coastal states of India

• Island – A&N and Lakshadweep

• Location specific -100 locations

• Tidal forecast system for 178

locations

• High resolution Forecast for West

Coast of India

• Real time validation System

• Forecast dissemination in local

languages

• High Wave/swell/bulletins

• Joint INCOIS – IMD Bulletins

• Bulletins on Ocean State Forecast

along Standard shipping routes

• Tsunami bulletins

• Storm surge bulletins

• Forecast along ship-track

• Eddy Forecasts

• OSF for Neighbouring countries

through RIMES

• Navy specific forecast products

• OSF Web Map Services

• Sea State Forecast for ports and

Harbours

• Online Oil spill advisories (OOSA)

• Search and Rescue Aid Tool

(SARAT)

• High Wave/swell/bulletins

• Joint INCOIS – IMD Bulletins

• Bulletins on Ocean State Forecast

along Standard shipping routes

• Tsunami bulletins

• Storm surge bulletins

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Customized productsCustomized products

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Criteria for High Wave Warning

High Wave Warning

Sig. Wave Height > 3 m

Swell Wave Height > 2.5 m

Tidal Flooding / Wave Surge

Spring tide + High Swell +Wind direction

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High Wave Warning VSCS Hudhud October 2014

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High Wave Warning & Joint INCOIS-IMD Bulletins

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HIGH SWELL ALERTS

High Swell warning to Andaman Coast and its validationwith buoy deployed at Port Blair

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Tidal flooding/Wave surgesSuper Moons(2015 :

January 20

February 18

March 20

August 29

September 28 -Strongest tidal forcing

October 27

Super Moons(2015 :

January 20

February 18

March 20

August 29

September 28 -Strongest tidal forcing

October 27

When the moon is closest to the earth (perigee) and it happens to be the FullMoon or New Moon phase – Perigean Spring tides also known as King Tides /Supermoons form

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Improvement in the tidal predictions for the 21 tide gauge stations operated by INCOIS

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Swell surge during Unexpected seasurge at Alappuzha coast, 27 fishingboats washed away, Indian Express,Published: 02nd August 2016

Malayala Manorama

WAVEWATCHIIISeychelles,2016-07-31 08:00 UTC

INCOIS has issuedwave surge alert for lowlying coastal areas ofKerala from 30 Jul. 2016-03 Aug. 2016

A high wave, surge alertfor the West Bengal Coastvalid from 08:30 hours on02-08-2016 to 23:30 hoursof 03-08-2016 was issuedby INCOIS.

INCOIS high wave alert Feed back from users

Swell Surge (Kallakadal) during 30 JUL. - 03 AUG., 2016

The extra-tropical storm in the Southern IndianOcean(27 Jul. 2016 ). Here, geopotential heightat 500 hpa is in contours, sea level pressure isshaded and surface winds are shown as vectors.

High waves topping theembankment at old Digha,03 Aug 2016, West Bengal

INCOIS has issuedwave surge alert for lowlying coastal areas ofKerala from 30 Jul. 2016-03 Aug. 2016

A high wave, surge alertfor the West Bengal Coastvalid from 08:30 hours on02-08-2016 to 23:30 hoursof 03-08-2016 was issuedby INCOIS.

The Kollam District administration(DMD) :Wave surge was reported incoastal regions of Alappad Village ofKarunagapally Taluk on on 1st and2nd of August, 2016

This information sent to all concerned disaster Management authorities anddirectly to fishermen via SMS. Total SMS sent ( Tamilnadu, Orissa, Kerala,West Bengal, Gujarat, Maharastra, Lakshadweep) – 6965 ; Number of SMSsent to Kerala Fishermen – 340; Lakshadweep – 25

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Tidal flooding/ Wave Surge during January 2015Wave Surge (Kallakadal) during January –February 2105

High Wave Bulletin:

EVENT-TYPE: WarningISSSUE-DATE: 22-01-2015REGION: KeralaMESSAGE:High swell waves in the range of 2.0 - 2.3 meters areforecasted during 17:30 hours on 22-01-2015 to 2330 hours of24-01-2015 along the Kerala coast between Vizhinjam toKasargod.

MESSAGE:Because of the combined effect of Spring tide andhigh waves, waves may be surged in to low lying coastal areasintermittently.MESSAGE: Fishermen are advised to be cautious whileventuring into the sea. Tourists also adviced cautious whileventuring into sea.

Flooding along Kollam coast, Kerala

High Wave Bulletin:

EVENT-TYPE: WarningISSSUE-DATE: 22-01-2015REGION: KeralaMESSAGE:High swell waves in the range of 2.0 - 2.3 meters areforecasted during 17:30 hours on 22-01-2015 to 2330 hours of24-01-2015 along the Kerala coast between Vizhinjam toKasargod.

MESSAGE:Because of the combined effect of Spring tide andhigh waves, waves may be surged in to low lying coastal areasintermittently.MESSAGE: Fishermen are advised to be cautious whileventuring into the sea. Tourists also adviced cautious whileventuring into sea.

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Kondalkattu forecasting (Location Specific Forecast) on high winds/waves in thePalk Bay

Kondal Kattu” is a Gusty wind which occurs near Rameswaram Coast during April and May (Premonsoon season). Near Rameswaram coast wind are below 10 m/s in pre-mosoon season. During thisevent wind suddenly increases to nearly 25 m/s. This gusty wind sustains for 2-3 hours or less. This gustywind along with sea-waves causing lot of damage to the boats which were moored at coast. The lowpressure forms over Salem or West coast of Srilanka region causing these gust winds. To forecast thesegusty winds, high resolution WRF model and wave model were setup for Rameswaram coast (southern tipof India)

10/31/13

Alert given in INCOIS websiteThe winds and waves may increase during 1530 hrs of

24-04-2015 to 0330 hrs of 25-04-2015 along theKanyakumari to Southern Nagapattinam stretch.

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Operational Storm Surge Warning

Bathymetry/topography

Unstructured

mesh

Atmosphericforcing

DisseminationInput

Modeling

ADCIRC + SWAN(Tide + Surge + Wave)

ADCIRC(Spin-up with Tidealone simulation atHPC)Spin-up for 2 months.320 processors areusing.

u vη

Tide alonesolution

Bulletingeneration

WEB

E-Mail

Atmosphericforcing

H2010

Requirestrack &intensityinfo fromIMD

WRF

RequiresinitialconditionsfromNCMRWF

or

Forcing to the model

Output

ADCIRC + SWAN(Tide + Surge + Wave)

u vη

Inundation extent

Bulletingeneration

SMS

FAX

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Real time storm surge forecasting for ‘Hudhud’ byINCOIS

Validation of Storm Surge - Hudhud

Finite element mesh of Chennai region

Validation of ADCIRC predicted water level at Chennai

Hydrodynamic model ADCIRC makes use of finite elementunstructured mesh. Tide can be predicted at any locationalong the coast.

Accuracy of the model is corroborated by years of successfultidal prediction well documented in the literature, makingthe ADCIRC model a logical component of any tidalprediction system

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Ocean Monitoring Forecast System for RIMES member CountriesSeychelles, Sri Lanka and Maldives

Ocean Monitoring Forecast System for RIMES member CountriesSeychelles, Sri Lanka and Maldives

10/31/13

Deployment ofWave Rider BuoyOff Seychelles On16th March 2016

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User Interaction

Awareness meeting and Ocean State Forecast -SMS has been inaugurated at Digha, West Bengalon Feb 2, 2016 by Mr. Sisir Adhikary, Chairpersonof the Digha Sankarpur Development Authority.

The buoy just before deployment off Digha,West Bengal on Jan 21, 2016

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Multiple use of OSF/High Wave Alert Services :• Decision making – whether or not to venture into the sea• Selecting the type of nets for fishing• Changing the position of boat Anchoring• Anchoring and casting their nets• Life and livelihood asset saving• Reduce the boat and net damage• Determine number of crews in the boat for fishing

USAGE AMONG FISHERMAN

27-12-2016

Voice from the coast : Mr. Sukumar, Samathanpettai, Tamil Nadu

We were worst affected by the Tsunami. After this terrible incident, even the slightestchange in the sea would create anxiety and fear among the community. More than themen the women and children would discourage us from going into the sea for fishing.However this anxiety drastically come down ever since we started receivingINCOIS OSF information/High wave Alert through MSSRF. This information givesus confidence to venture into the sea without any hesitation or worry. Our familymembers are not very much worried about our safety in the sea and they have asecured feeling.

Multiple use of OSF/High Wave Alert Services :• Decision making – whether or not to venture into the sea• Selecting the type of nets for fishing• Changing the position of boat Anchoring• Anchoring and casting their nets• Life and livelihood asset saving• Reduce the boat and net damage• Determine number of crews in the boat for fishing

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Impact based productsImpact based products--SARATSARAT

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Search and Rescue Aid Tool (SARAT)

Triangular area boundaryAdvisory valid Period: 3 days

Probability Scale

Feedback regarding its usefulness

Triangular area boundaryAdvisory valid Period: 3 days

Search and Rescue activities (from 11-18June, 2015) for the missing Indian CoastGuard aircraft off Karaikal, southeastcoast of India, by assisting the IndianCoast Guard search and rescue team witha specialised in house developed SARAT(Search and Rescue Aid Tool)"module/system - which helps in locatinglost persons and objects in the sea, basedon the last known position details.

Probability Scale

Feedback from Commander Coast Guard forsupport and cooperation given by INCOIS duringSearch and Rescue operations for missed Coast

Guard Dornier CG 791.

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Forecast Services for Shipping industry

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Forecast Services for Shipping industry

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Forecast for Port and Harbours

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Forecast for Maritime Boards

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1. The Experimental set up of GNOME based Online OilSpill Advisory system is launched for the Indian Coastguard, port authority, maritime boards and otheragencies involved in clean up measures

2. OOSA will generate the predicted trajectory aftersubmitting the details of the spilled oil. The trajectorywill be displayed in an open layers web map indicatingthe nearby locations with respect to time.

3. Future upgradation includes the integration ofHydrodynamic outputs from flow model 21 flexiblemesh (mike 21)

4. Various officials from ICG, RIL, ONGC, PORTS haveregistered this product .

LAUNCH - EXPERIMENTAL SET UP OF OOSA,12.05.2014 OOSA – BETA VERSIONONLINE OIL SPILL ADVISORY SYSTEM

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Ocean State Forecast system for neighboring countries

Ocean State Forecast system for Sri Lanka and Seychelles in collaboration withRIMES, inaugurated on 10th July 2015

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VSCS HUDHUD VSCS PHAILIN

Balakrishnan Nair, T.M., Remya, P.G., Harikumar, R., Sandhya, K.G., Sirisha, P., Srinivas, K., Nagaraju, C.,Nherakkol, A., Krishna Prasad, B., Jeyakumar, C., Kaviyazhahu, K., Hithin, N.K., Kumari, R., Sanil Kumar, V.,Ramesh Kumar, M., Shenoi, S.S.C., Nayak, S. Wave forecasting and monitoring during very severe cyclonePhailin in the Bay of Bengal (2014) Current Science, 106 (8), pp. 1121-1125

Sirisha P, Remya PG, Balakrishnan Nair TM, Venkateswara Rao B . Numerical simulation and observations ofvery severe cyclone generated surface wave fields in the north Indian Ocean. 2015.J earth system sciences. Vol 124. pp 1639-1651

Balakrishnan Nair, T.M., P. Sirisha, K. G. Sandhya, K. Srinivas, L. Sabique, Arun Nherakkol, B. Krishna Prasad,Rakhi Kumari, C. Jeyakumar,K. Kaviyazhahu, M. Ramesh Kumar, R. Harikumar, S. S. C. Shenoi and ShaileshNayak (2013) Performance of the Ocean State Forecast system at Indian National Centre for Ocean InformationServices Current Science, 105 (2), pp. 175-181

Sandhya, K.G., Balakrishnan Nair, T.M., Bhaskaran, P.K., Sabique, L., Arun, N., Jeykumar, K. Wave forecastingsystem for operational use and its validation at coastal Puducherry, east coast of India (2014) OceanEngineering, 80, pp. 64-72

Murty,P.L.N., Sandhya,K.G., Bhaskaran, P.K., Josec,F., Gayathri,R., Balakrishnan Nair, T.M., Srinivas KumarT., Shenoi S.S.C (2014) A coupled hydrodynamic modeling system for PHAILIN cyclone in the Bay of Bengal,Coastal Engineering, 93, pp.71–81.

Reliability of Forecast products- VerificationsReliability of Forecast products- Verifications

34

With nesting Without nesting

Balakrishnan Nair, T.M., Remya, P.G., Harikumar, R., Sandhya, K.G., Sirisha, P., Srinivas, K., Nagaraju, C.,Nherakkol, A., Krishna Prasad, B., Jeyakumar, C., Kaviyazhahu, K., Hithin, N.K., Kumari, R., Sanil Kumar, V.,Ramesh Kumar, M., Shenoi, S.S.C., Nayak, S. Wave forecasting and monitoring during very severe cyclonePhailin in the Bay of Bengal (2014) Current Science, 106 (8), pp. 1121-1125

Sirisha P, Remya PG, Balakrishnan Nair TM, Venkateswara Rao B . Numerical simulation and observations ofvery severe cyclone generated surface wave fields in the north Indian Ocean. 2015.J earth system sciences. Vol 124. pp 1639-1651

Balakrishnan Nair, T.M., P. Sirisha, K. G. Sandhya, K. Srinivas, L. Sabique, Arun Nherakkol, B. Krishna Prasad,Rakhi Kumari, C. Jeyakumar,K. Kaviyazhahu, M. Ramesh Kumar, R. Harikumar, S. S. C. Shenoi and ShaileshNayak (2013) Performance of the Ocean State Forecast system at Indian National Centre for Ocean InformationServices Current Science, 105 (2), pp. 175-181

Sandhya, K.G., Balakrishnan Nair, T.M., Bhaskaran, P.K., Sabique, L., Arun, N., Jeykumar, K. Wave forecastingsystem for operational use and its validation at coastal Puducherry, east coast of India (2014) OceanEngineering, 80, pp. 64-72

Murty,P.L.N., Sandhya,K.G., Bhaskaran, P.K., Josec,F., Gayathri,R., Balakrishnan Nair, T.M., Srinivas KumarT., Shenoi S.S.C (2014) A coupled hydrodynamic modeling system for PHAILIN cyclone in the Bay of Bengal,Coastal Engineering, 93, pp.71–81.

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INCOIS

IISc

Inter-comparison - IISC & INCOIS AWSs

Validation and Refinement of Model Forcing FieldsValidation and Refinement of Model Forcing Fields

Though the performance of ECMWF and NCMRWF are almost equal, ECMWF airtemperature at ETIO and wind speed (especially in SO) is marginally more close toreality compared to that of NCMRWF.

Harikumar, R., Balakrishnan Nair, T.M., Bhat, G.S., Nayak, Shailesh.,Reddem, V.S., Shenoi, S.S.C.(2013) Ship-mounted real-time surfaceobservational system on board Indian vessels for validation andrefinement of model forcing fields, Journal of Atmospheric andOceanic Technology, 30 (3), pp. 626-637

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AltiKa Significant Wave Height Validation for Coastal OceansAltiKa Significant Wave Height Validation for Coastal Oceans

Differences between the Hsmeasurements from AltiKa and the buoysfor different Hs bins from the buoys.

Assessed the Altika derivedsignificant wave height along thecoastal areas all over the world forutilization for forecast verification.The paper is published in IEEEJournal JSTAR.

Hithin, N.K.; Remya, P.G.; Balakrishnan Nair, T.M.; Harikumar, R.; Kumar, R.;Nayak, S., "Validation and Intercomparison of SARAL/AltiKa and PISTACH-DerivedCoastal Wave Heights Using In-Situ Measurements," IEEE Journal of SelectedTopics in Applied Earth Observations and Remote Sensing (2015), vol.PP, no.99,pp.1,10

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Bias correction is done for global products using entireI-RAWS datasets

Ground zero ocean met observations at the landfall point of Very SevereCyclonic Storm Hudhud from the Ship-mounted AWS

Ground zero ocean met observations at the landfall point of Very SevereCyclonic Storm Hudhud from the Ship-mounted AWS

10/31/13

•Bias-corrected winds – more close to reality.•Huge energy is getting attenuated<<< exponentially as cyclone enters inland.

Harikumar, R., T.M. Balakrishnan Nair, B.M. Rao, P. Rajendra Prasad, P.Ramakrishna Phani, C. Nagaraju, M. Ramesh Kumar, C. Jeyakumar, S.S.C.Shenoi and Shailesh Nayak, 'Ground zero ocean met observations at the landfallpoint of Very Severe Cyclonic Storm Hudhud from the Ship-mounted AWSs, Curr.Sci., 2016).

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Ocean State Forecast along Ship Routes: Evaluation Using ESSO-INCOIS Real-Time Ship-Mounted Wave Height Meter (SWHM) and Satellite Observations

Evaluate the Forecast along shipping RoutesEvaluate the Forecast along shipping Routes

•Wave Height Meter (WHM) is a good option for wavemeasurements (with r ~ 0.8 in buoy comparison) in movingships/platforms.•Validation of Altimeter data using WHM shows a good match.Hence,• Further evaluation of OSF using altimeter shows a good matchwith average r > 0.85 with a SI < 20%.

Harikumar, R., N.K. Hithin, T.M. Balakrishnan Nair, P. Sirisha, B. Krishna Parasad,C. Jeyakumar, Shailesh Nayak and S.S.C. Shenoi, ' Ocean State Forecast AlongShip-routes: Evaluation Using ESSO-INCOIS Real-time Ship-Mounted Wave HeightMeter and Satellite Observations', J. Atmos. Oceanic Technol., 2015, DOI:10.1175/JTECH-D-15-0047.1.

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Location Specific Forecast Error estimation

Error reduction in Early Warning systemsError reduction in Early Warning systems

39

Location Specific Forecast Error estimation

Soft Computing techniques in error correction of numerical models

• Deshmukh A. N, Deo M C., Bhaskaran P. K, Balakrishnan Nair. T. M, Sandhya K. G: Neural Networkbased data assimilation to Improve Numerical Ocean wave forecast IEEE Journal of OceanEngineering (2016)-In press

• Sirisha P, Sandhya KG, Balakrishnan Nair TM, Venkateswara Rao B Evaluation of wave forecast in thenorth Indian ocean during extreme conditions and winter monsoon. (2016). J OperationalOceanography (Under Review).

• Swarnali majumder, Balakrishnan Nair TM, Sandhya KG, Remya PG, Sirisha P Multi-model Ensembleforecasting of wave height during extreme weather conditions. (2016) J Operational Oceanography(Under Review).

Multi-model Ensemble forecasting of wave height

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• Multimode and multilingual disseminationsystem include Web, SMS (voice & text), EDB,MDB, VIC, Radio (FM, AIR, Community), TVchannels, VHF and INSAT).

• Number of dissemination modes hassignificantly increased.

• Secondary dissemination system is also wellestablished collaborating with NGOs(MSSRF, Reliance foundation, IKSL, AlertIndia etc).

• Initiated and made operational a jointdissemination of Ocean forecast informationwith IMD.

• Guided the team developing software andhardware for dissemination of ocean stateforecasts through different modes.

Improvement in the dissemination chain

Expanded the multi user, multi-lingual and multimode dissemination chain.

• Multimode and multilingual disseminationsystem include Web, SMS (voice & text), EDB,MDB, VIC, Radio (FM, AIR, Community), TVchannels, VHF and INSAT).

• Number of dissemination modes hassignificantly increased.

• Secondary dissemination system is also wellestablished collaborating with NGOs(MSSRF, Reliance foundation, IKSL, AlertIndia etc).

• Initiated and made operational a jointdissemination of Ocean forecast informationwith IMD.

• Guided the team developing software andhardware for dissemination of ocean stateforecasts through different modes.

40

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0

10

20

30

40

50

60

2009 2010 2011 2012 2013 2014 2015 2016 Total

No of new products

0

10

20

30

40

50

60

70

80

2012 2013 2014 2015 2016 Total

No of Publications

Forecast along Ship Routes Webmap services Forecast for PortsNo of Users

Products, Users and PublicationsProducts, Users and Publications

0

200000

400000

600000

800000

1000000

1200000

1400000

1600000

1800000

1

10

100

1000

10000

2013 2014 2015

Forecast along Ship Routes Webmap services Forecast for Ports

Value added services Ship_route_registered Users Maldives

Seychells Srilanka Total number of users

Tota

l no

of u

sers

/Rea

ch

Use

rs fo

r cus

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ized

pro

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s

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Ocean Forecast Lab

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AWARDS

10/31/13ISO Certification for our services National Geoscience Award 2014

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What is Leeway ?Leeway is the movement of an object through the water caused by the wind acting onthe exposed surface of the object.

How do you calculate the trajectory ?

budt

rd

r

bu

Position vector of the lost object.

Velocity vector of the lost object.

How to get the velocity ?

Search and Rescue modelSearch and Rescue model –– TheoryTheory

From the leeway and the surface currents

)()()( tutLtu cb

Wave effects ignored. ( Possible for small objects* )

Stokes drift included in Leeway coefficients.

The leeway of the object is related to the wind velocity.

* Komen G. et al, On the existence of fully developed wind-sea spectrum, J. Phys Oceanogrphy 14(8), 1271-1281.

* Richardson,P.L, Drifting in the wind: leeway error in ship-drift data, Deep Sea Res I 44, 1807-1903 ( 1997).

t

t

c

t

t

b dttutLdttutrtr00

'''''0Solve using 2nd order Runge-Kutta.

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•Monte Carlo ensemble approach:–S&R object represented by O(1000) particles, each with thecharacteristics of the object spread around the lost location within someradius determined by the confidence in the last known position information.–Uncertainties in the model, initial conditions and forcing are accounted forby seeding strategy and perturbations to the forcing.–The changing cloud of particles represents a probability density for the objectlocation.

•Stokes drift is assumed included in the empirical leeway data from USCG.– US Coast Guard has compiled data for 63 classes of S&R objects through

extensive field campaigns, made available for operational services.

Search and Rescue modelSearch and Rescue model ––AssumptionsAssumptions•Monte Carlo ensemble approach:

–S&R object represented by O(1000) particles, each with thecharacteristics of the object spread around the lost location within someradius determined by the confidence in the last known position information.–Uncertainties in the model, initial conditions and forcing are accounted forby seeding strategy and perturbations to the forcing.–The changing cloud of particles represents a probability density for the objectlocation.

•Stokes drift is assumed included in the empirical leeway data from USCG.– US Coast Guard has compiled data for 63 classes of S&R objects through

extensive field campaigns, made available for operational services.