NOOS EuroGOOS Annual meeting

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1 NOOS EuroGOOS Annual meeting Brussels Henning Wehde NOOS Chair

2 NOOS objectives Co-ordinate, improve and harmonize the development of operational marine data and information services Provide analysis, forecasts and model based products describing the marine conditions of the North West Shelf area Provide high quality data and long time series required to advance scientific understanding of the NW European Shelf Seas

3 NOOS members in 2013 Members (19) BSH, DMI, IMR, MUMM, MetOff, Met.no, RWS, POL, KNMI, SMHI, Marine Institute, AWZ, RDANH, DCOO, SHOM,Cefas, Ifremer, ACRI, Meteo France, NOCS Associate Members (5) NERSC, NIVA, GKSS, Uni-Oldenburg, Deltares Representing: Belgium, Denmark, France, Germany, Ireland Netherlands, Norway, Sweden and UK These members provided the services for NOOS also in 2013

4 InSitu data Continuation of the normal monitoring activities Coordination of the NOOS monitoring activities in a more effective way

5 NOOS wave data exchange Problem: - Not complete - Not real time - No reliable data flow Aim: Improve the exchange of observed wave data

6 NOOS wave data exchange

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8 Map of Ferrybox systems in Europe in MyOcean Core sensor available on most ships relevant for validation Temperature and salinity Chl-a fluorescence (proxy for Chl-a) Turbidity (proxy for TSM) Some ships have water sampler for collection of validation samples Chl-a, apig/bpa CDOM, TSM A few ship have reflectance Can be used for SST validation, but instrumentation needed. NIVA have QA on the European Ferrrybox as part of MyO

9 Sensor prototypes and new technology

10 Franatech pco2 systems for Ferrybox installations Membrane based system Solid state detector Calibration on-board Easy to maintain/replace Flow through system Uses external pump (Ferrybox) Water leakage detector Internal logging and on-line SW Communication with Ferrybox

11 FT_pCO2 vs GO_pCO2 after applying a new calibration

12 Combined approach ph and pco2 into the Ferrybox Physically implemented into the pco2 will be tested! ph and carbonate pco2 Combined in a common labview Software with data from the Ferrybox like SST, pressure e.g.. Kai Sørensen, NIVA kai.sorensen@niva.no

13 Protype testing - «Chemical extractor» Chem. Mariner project Test Oslo-Kiel Polyetylene membranes and triolin Membranes brought to laboratory for analysing of PAH, PCB and some pesticider. JeriCO have extended the 3 rd TNA call deadline.

14 Development of automated measurements for daily use Austevoll testa

15 Modelling/Forecast/Hindcast/R eanalysis Continuing efforts on operational models Increasing efforts on biogeochemical modelling New initiatives/developments

16 NOOS Annual Meeting 2013 BSH report A new oil drift model system: in-house development BSH oil drift model BSHdmod.L co-operative development HIROMB/HELCOM oil drift model SeatrackWeb (HIROMB: SMHI, DAMSA, BSH) Operationelle Modelle und Dienste, S. Dick

17 Example: Backward calculation Link to AIS data Operationelle Modelle und Dienste, S. Dick

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22 2D currents, sea level and surge operational modelling Rank 0 (2000m) Rank 1 Rank 2 (250m) Rank 0 Rank 2 Rank 1 (700m) Rank 1

23 2D currents, sea level and surge operational modelling New product since Feb : atlas of harmonic components (sea level & tidal currents) Computed thanks to Tidal ToolBox (developped by LEGOS for PREVIMER) Amplitude and phase of 38 waves Rank 1 Rank 2

24 HF Radar for Port of Rotterdam coupled with 3D model

25 SWAN North Sea (SWAN-ZUNO) detail near Rotterdam port extension Maasvlakte 2

26 Applications: development higher resolved models Norkyst 800 model system a new coastal regional model Regional ocean model ROMS horizontal resolution 800m, investigating the regional circulation pattern transport/dispersion of harmful algae blooms, Transport fish larval and -eggs, salmon lice and pathogens, connectivity studies between regions.

27 UNCERTAINTY ESTIMATION IN OPERATIONAL PRODUCTS A MULTI- MODEL-ENSEMBLE FOR THE NORTH SEA AND THE BALTIC frank.janssen@bsh.de

28 MME Why? uncertain uncertainty estimates

29 MME How? Funding from and cooperation in MyOcean-2 project Input data from BOOS/HIROMB & NOOS community Taking various 48h-forecasts as input, interpolating them onto a common grid and producing ensemble products Variables: sea surface temperature, -salinity & -currents, volume transport at transects, sea level at tide gauge stations Statistics: ensemble min., max., mean, median and standard deviation Data for SST&SSS with daily update are available from: ftp://ftp.bsh.de/outgoing/opmodel/my_ocean/mme/

30 SST data for MME: BSH (cmod & HBM) Met. Office (FOAM) met.no (ROMS) FCOO (GETM) SMHI (HIROMB NS03, 2x) MUMM h

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32 Challenges Last year's challenges remain for the future: Achieve better coordination of national monitoring systems. Several members struggle to find resources for participating in NOOS and its projects Bridging the gap between Marine Core Services and Downstream services