Long term oceanographic measurements in brazil characteristics and perspectives
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2012 ROMS/TOMS User Workshop. Long-Term Oceanographic Measurements in Brazil : Characteristics and Perspectives. Rogério Candella IEAPM. Long-Term Oceanographic Measurements. PIRATA Program (Pilot Research Moored Array in the Tropical Atlantic)

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Long-Term Oceanographic Measurements in Brazil : Characteristics and Perspectives

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Long term oceanographic measurements in brazil characteristics and perspectives

2012 ROMS/TOMS User Workshop

Long-TermOceanographicMeasurements in Brazil: Characteristicsand Perspectives

Rogério Candella

IEAPM


Long term oceanographic measurements in brazil characteristics and perspectives

Long-TermOceanographicMeasurements

  • PIRATA Program (Pilot Research Moored Array in the Tropical Atlantic)

    • About 16 buoys in the equatorial region

  • In the southeastern Atlantic portion

    • Long time series only for sea level

    • One long time series for sea temperature (not collected for scientific purposes)


  • Long term oceanographic measurements in brazil characteristics and perspectives

    Temperature of water used for cooling machinery of the Companhia Nacional de Álcalis, Arraial do Cabo, RJ


    Long term oceanographic measurements in brazil characteristics and perspectives

    Sealevelmeasurements

    • - Oldeststation still in activity – Cananéia/SP since 1954

    • - Longestcontinuous series – Cananéia/SP from 1954 to 1995

    • - Improvementdata quality → Progam GLOSS-Brasil


    Long term oceanographic measurements in brazil characteristics and perspectives

    -Currently, 17 tidestations, 11 fromotherinstitutionsthantheBrazilianNavy.

    • Ilha Fiscal

    • From 1955 to 2007 → analogicalgauge

    • From 2007 tonow → radar basedtechnology


    Long term oceanographic measurements in brazil characteristics and perspectives

    Ilha Fiscal - 2010


    Long term oceanographic measurements in brazil characteristics and perspectives

    • Ponta do Céu – AP

    • Amazon River

    • Radar basedgauge


    Tide gauge arraial do cabo rj

    Tide Gauge – Arraial do Cabo, RJ


    Low frequency meteorological effects may 2001

    LowFrequencyMeteorologicalEffects – May, 2001


    Long term oceanographic measurements in brazil characteristics and perspectives

    • Digital Gauges

    • - Ultrasonic

    • - Radar


    Long term oceanographic measurements in brazil characteristics and perspectives

    High Frequency Meteorological Effect – Meteotsunami September 2002


    Pnboia oceanographic buoy national plan

    PNBOIA (OceanographicBuoyNationalPlan)

    Four (three) fixedbuoysoperating.

    Freeaccessto data

    http://www.mar.mil.br/dhn/chm/meteo/prev/dados/dados.htm

    Two more buoysdeployed (northeastcoast).

    Two more buoystobelaunched in thenextyear.

    Program in a verybeginningstage.

    Problemswithdepredationandlogistics.


    Long term oceanographic measurements in brazil characteristics and perspectives

    PROGRAMA GOOS –BRASIL: Brazilian System ofOceanandClimateObservation

    GOSS– Sistema Global de Observação dos Oceanos

    MooredBuoy ATLAS

    GLOSS – Global SeaLevelObserving System

    ISABP InternationalSouthAtlanticBuoyProgram

    DBCP Data BuoyCooperationPanel

    06 tidegauges

    59 driftingbuoys

    08 ATLAS buoys

    03 Axys 3M buoys

    DirftingBuoy

    GTMBA - Global Tropical MooredBuoyArray

    MooredBuoy3M


    Siodoc environmental data collection for the defense project

    SIODOCEnvironmental Data Collection for the Defense Project

    Deployment of a meteo-oceanographic buoy fully equipped.

    60-m depth, in the upwelling area of Arraial do Cabo.

    Free access to data


    Long term oceanographic measurements in brazil characteristics and perspectives

    • Conclusions

    • Very few long-time oceanographic series in the Western South Atlantic, turning unfeasible comparisons with climatological results from models.

    • Some new attempts to fill this gap, but still in early stages.

    • Main problems related to logistics, depredation and maintenance.

    • Results can be used to indicate anomalous events, which could be explained in other spatial scales, by numerical modeling.


    Thank you for your attention

    Thank you for your attention

    [email protected]


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