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Management Unit of the North Sea Mathematical Models MUMM I BMM I UGMM
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museum" \A large synoptic dataset of coastal in situ observations
Frederic Francken1, Michael Fettweis1, Dries Van den Eynde1, Matthias Baeye1, Vera Van Lancker1, Joan Backers2, Kevin Hindryckx2 and Lieven Naudts2
Management Unit of the North Sea Mathematical Model (MUMM),Royal Belgian Institute of Natural Sciences (RBINS)
1MUMM-SUMO group, Gulledelle 100,1200 Brussels, BelgiumE-mail: [email protected]
2 MUMM-Measuring Services, 3de en 23ste Linieregimentsplein, 8400 Ostend, Belgium JAbstract
Since the beginning of 2004 MUMM has performed a series of moorings in the Belgian Coastal Zone with a tripod or benthic lander, equipped with a series of oceanographic sensors. Current meters such as an Acoustic Doppler Profiler (ADP) and an Acoustic Doppler Velocimeter (ADV), a CT-sensor capable of measuring temperature and salinity, optical (OBS) and acoustic backscatter sensors (ADP and ADV) to measure suspended sediment concentration, a LISST 100 suspended particle sizer, a passive Cetacean monitoring device (C-PoD) and a passive sampling device for chemical monitoring have ever since been moored for more than 1750 days. From autumn 2009 a permanent coastal observatory has been installed at MOW1, located to the west of the entrance to the Zeebrugge harbor. Other mooring sites include more offshore locations, such as the Kwintebank, Gootebank, MOWO and the offshore windmill farms and a very nearshore location (Blankenberge).
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51.25Ostend
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35 Moorings51.15
Moorings
Depth (m)
46
38
30
22
14
' -2
Year # Moorings # Days
2004 3 38
2005 4 45
2006 6 165
2007 2 45
2008 5 151
2009 10 369
2010 9 322
2011 10 334
2012 8 297
Total: 57 moorings 1766 days
JData Processing
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01 23 50 04/04/2012
06 23 50 09/04/2012
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21 23 50 24/04/201224/03/2012
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Sample | 3751
V 1 /X /E (cm /s ) I -5.20
V 2 /Y /N (c m /s ) | -17.20
V 3 /Z /U (c m /s ) I -0.18
Amp1 (counts) j 192 ~
Amp2 (counts) | 185
Amp3 (counts) | 99
M ean Amp | 158
C o rii [%)
Corr2 (X )
Corr3 [%)
M ean Corr
Heading (deg)
P itch (deg) | 0.0
Roll (deg) | -1.1
Temp ( C) I 6-740~
Press (dbar) I 9 .599
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h Name a
"p 02l_ADV_2008-05.txt021_ADV_2008-05_sumo.txt
; ADV_2008-04.txt EEj advdata.mat 4 ADVdataproc.m
ADVfigs.fig EB AV016001-hdl.m at FR A V 016001-tsl.m at■ AV016001.adr■ AV016001.ctl■ AV016001.hdl■ AV016001.stl■ AV016001.SW1■ AV016001.tsl Q date2jd.m
mylowess.m ) smooth.m ) spectrumanalysis.m
_2008-25_20081117_20081212.txt !L522.m
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fritz ► Documents ► Data - workplace ► ADV ► 2008 ► Mooring 2008 05
ADV data processing
1000 2000 3000 4000Sample Number
5000 6000 7000
» ADVdataprocGeef het verankeringsnummer (XXX) op: 023
Geeft het jaar en sequentienummer (XXXX-XX) op: 2008-05Geef de filename (zonder extentie) op: AV016001
Aantal samples over te slaan in burst: 16Reading time series file (tsl)...Reading header file (hdl)...50.................................................100................................................................150.................................................200.................................................250.................................................300.................................................350.................................................400.................................................450.................................................500.................................................550.................................................600.................................................650.................................................700.................................................750.................................................800.................................................850.................................................900.................................................950.................................................1000.................................................1050.................................................1100.................................................1150.................................................1200.................................................1250.................................................1300.................................................1350.................................................1400.................................................
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Workspace
Command History
1.83.08.25dlmwrite('ploteditclear
ADVdataproc0482012-05AV04600116clear
ADVdataproc0232008-05AV01600116
Busy
The instruments have already recorded several GB worth of data files, but the data need to be processed before they can lead to a large synoptic dataset. This processing includes the transformation from a binary file to a readable ASCII format and is done by proprietary software.
The subsequent step consists of the actual processing of the data, the quality control to identify instrument failure or biofouling and calculation of derivative parameters (such as bottom shear stress, turbulent kinetic energy and settling velocity) using MatLab scripts.
3 - 03-2011 28- 03-2011 02- 04-2011 07- 04-2011 12- 04-2011 17- 04-2011 22 - 04-2011
Temp
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123- 03-2011 28- 03-2011 02- 04-2011 07- 04-2011 12- 04-2011 17- 04-2011 22 - 04-2011
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ST Current
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f/ear Month Day Hour Min Sec JDay 0BS1 0BS2 SPM1 SPM2 Press Sal Temp u v w U Dir Alt Roll Pitch Ampl Amp2 Amp3 Corl Cor2 Cor3 TKE' m ___________2008 11 17 13 50 1 322.5764005 6478.36 6028.8 230.8731753 280.4066095 18.65 32.6313 10.3005 -0.2584 0.1971 -0.3823 0.3249907229 5.364013487 17.79 -49 -0.2 217 215 220I.697377495 0.36860615982008 11 17 14 0 1 322.5833449 5296.04 4022.76 170.9906796 184.8202047 19.09 32.6094 10.2995 -0.3243 0.2071 -0.414 0.3847868241 5.280712775 20.7 -44.3 -0.2 224 223 227 5.711056811 25.024027312008 11 17 14 10 1 322.5902894 5294.88 3933.24 170.9319275 180.5546393 19.38 32.5802 10.3058 -0.3532 0.2047 -0.4004 0.4082307313 5.237642214 18.33 -38 -0.2 224 221 22<II.9459675 115.64386712008 11 17 14 20 1 322.5972338 4974.88 3728.8 154.7244722 170.8132161 19.63 32.5078 10.2987 -0.376 0.1758 -0.4664 0.4150682354 5.149743879 18.74 -41.8 -0.3 230 228 23: 10.17406889 67.19445372008 11 17 14 30 1 322.6041782 5042.48 3985.32 158.1482971 183.0362149 19.72 32.4778 10.2957 -0.3685 0.1436 -0.4559 0.3954910998 5.08397415 18.34 -41.8 -0.2 235 233 2 '
8.758409179 37.811193562008 11 17 14 40 1 322.6111227 5116.2 3971.04 161.8820896 182.3557829 19.85 32.3766 10.2856 -0.3744 0.1612 -0.3426 0.407628262 5.118955807 18.39 -27.5 -0.2 236 235 23! 18.31913059 158.02531242008 11 17 14 50 1 322.6180671 6054.76 4669.24 209.4185562 215.6245252 19.91 32.3198 10.2788 -0.3782 0.1937 -0.5154 0.4249175567 5.185719478 20.63 -45 -0.2 226 225 22! 6.66139545 22.868078032008 11 17 15 0 1 322.6250116 6287.28 5025.72 221.1952985 232.6105482 20.03 32.2689 10.268 -0.3075 0.1528 -0.428 0.34337165 5.173561992 18.65 -45.5 -0.2 225 223 227 9Í 4.38426806 25.351588422008 11 17 15 10 1 322.631956 6232.96 4824.92 218.4440829 223.0425684 20.1 32.2362 10.2625 -0.2396 0.1393 -0.3542 0.2771509516 5.239008998 18.04 -50 -0.3 222 219 224 ! 1.800724521 0.21799820442008 11 17 15 20 1 322.6389005 6856.44 5500.56 250.0222838 255.2363425 20 32.2458 10.2607 -0.3 0.1162 -0.3815 0.321717951 5.081928353 18.29 -42 -0.3 223 220 226 97 97~ ta O C O H 4 1 1
ASCII datasets will be made available through the BMDC website:http://www.mumm.ac.be/datacentre/
ConclusionThe data collected have increased our understanding of sediment dynamics in response to tidal and wind-driven flow and this during both good and bad weather conditions and from short (turbulence) to long-term scales (seasonal variations).
Current profiler
Particle sizer
Passive sampler
Passive Cetacean monitor system
Turbidity meter
Temperature & Conductivity meter
Current meter
Battery & storage
Kl SonTek ViewHydra - [AV046001 .adr]
File Edit View Processing Hydra Config Analysis Help
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Hydra FileName: AV046001.adr
Research funded by the Maritime Access Division of the Ministry of the Flemish Community (MOMO), Belgian Science Policy (MAREBASSE, QUEST4D) and C-Power and Belwind (WINMON) Acknowledgements to the Commander and Crew of R/V Belgica