FN Archimer Export Format
PT J
TI Uncertainties associated with in situ high-frequency long-term observations of suspended particulate matter concentration using optical and acoustic sensors
BT 
AF Fettweis, Michael
   Riethmüller, Rolf
   Verney, Romaric
   Becker, Marius
   Backers, Joan
   Baeye, Matthias
   Chapalain, Marion
   Claeys, Styn
   Claus, Jan
   Cox, Tom
   Deloffre, Julien
   Depreiter, Davy
   Druine, Flavie
   Flöser, Götz
   Grünler, Steffen
   Jourdin, Frédéric
   Lafite, Robert
   Nauw, Janine
   Nechad, Bouchra
   Röttgers, Rüdiger
   Sottolichio, Aldo
   Van Engeland, Tom
   Vanhaverbeke, Wim
   Vereecken, Hans
AS 1:1;2:2;3:3;4:4;5:1;6:1;7:3;8:5;9:6;10:7;11:8;12:6;13:8,9;14:2;15:10;16:11;17:8;18:12,13;19:1;20:2;21:14;22:7;23:1;24:5;
FF 1:;2:;3:PDG-ODE-DYNECO-DHYSED;4:;5:;6:;7:PDG-ODE-DYNECO-DHYSED;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:;19:;20:;21:;22:;23:;24:;
C1 Royal Belgian Institute of Natural Sciences, OD Nature, Rue Vautier 29, 1000 Brussels, Belgium
   Helmholtz-Zentrum Geesthacht, Institute for Coastal Research, Max-Planck-Str. 1, 21502 Geesthacht, Germany
   IFREMER, Laboratoire DHYSED, CS10070, 29280 Plouzané, France
   Christian-Albrechts-Universität, Institute of Geosciences, Otto-Hahn-Platz 1, 24118 Kiel, Germany
   Flanders Hydraulics Research, Berchemlei 115, 2140 Antwerp, Belgium
   IMDC, Van Immerseelstraat 66, 2018 Antwerp, Belgium
   University of Antwerp, Ecosystem Management Research Group, Universiteitsplein 1C -C.0.32, 2610 Wilrijk, Belgium
   Normandie University Rouen, UNIROUEN, UNICAEN, CNRS, M2C, 76000 Rouen, France
   University of Tours, EA GéoHydrosystèmes continentaux, Parc Grandmont, 37200 Tours, France
   Federal Waterways Engineering and Research Institute (BAW), Wedeler Landstr. 157, 22559 Hamburg, Germany
   Service Hydrographique et Océanographique de la Marine (SHOM), 13 rue du Chatellier, 29228 Brest, France
   Royal Netherlands Institute for Sea Research, Department of Coastal Systems Royal Netherlands Institute for Sea Research, Department of Coastal Systems and Utrecht University, PO Box 59, 1790 AB Den Burg Texel, The Netherlands
   Royal Netherlands Institute for Sea Research, Department of Coastal Systems and Utrecht University, PO Box 59, 1790 AB Den Burg Texel, The Netherlands
   University of Bordeaux, EPOC, UMR5805, 33600, Pessac, France
C2 ROYAL BELGIAN INST NAT SCI, BELGIUM
   HZG, GERMANY
   IFREMER, FRANCE
   UNIV KIEL, GERMANY
   FLANDERS HYDRAUL RES, BELGIUM
   IMDC, BELGIUM
   UNIV ANTWERP, BELGIUM
   UNIV ROUEN, FRANCE
   UNIV TOURS, FRANCE
   BAW, GERMANY
   SHOM, FRANCE
   INST SEA RESEARCH (NIOZ), NETHERLANDS
   UNIV UTRECHT, NETHERLANDS
   UNIV BORDEAUX, FRANCE
SI BREST
SE PDG-ODE-DYNECO-DHYSED
IN WOS Ifremer UPR
   copubli-france
   copubli-europe
   copubli-univ-france
IF 4.06
TC 21
UR https://archimer.ifremer.fr/doc/00510/62132/66364.pdf
LA English
DT Article
CR TURBISEINE
BO Côtes De La Manche
DE ;Suspended particulate matter;Measurement uncertainty;Regression;Optical and acoustical sensors
AB Measurement of suspended particulate matter concentration (SPMC) spanning large time and geographical scales have become a matter of growing importance in recent decades. At many places worldwide, complex observation platforms have been installed to capture temporal and spatial variability over scales ranging from cm (turbulent regimes) to whole basins. Long-term in situ measurements of SPMC involve one or more optical and acoustical sensors and, as the ground truth reference, gravimetric measurements of filtered water samples. The estimation of SPMC from optical and acoustical proxies generally results from the combination of a number of independent calibration measurements, as well as regression or inverse models. Direct or indirect measurements of SPMC are inherently associated with a number of uncertainties along the whole operation chain, the autonomous field deployment, to the analyses necessary for converting the observed proxy values of optical and acoustical signals to SPMC. Controlling uncertainties will become an important issue when the observational input comprises systems of sensors spanning large spatial and temporal scales. This will be especially relevant for detecting trends in the data with unambiguous statistical significance, separating anthropogenic impact from natural variations, or evaluating numerical models over a broad ensemble of different conditions using validated field data. The aim of the study is to present and discuss the benefits and limitations of using optical and acoustical backscatter sensors to acquire long-term observations of SPMC. Additionally, this study will formulate recommendations on how to best acquire quality-assured SPMC data sets, based on the challenges and uncertainties associated with those long-term observations. The main sources of error as well as the means to quantify and reduce the uncertainties associated with SPMC measurements are also illustrated. 
PY 2019
PD NOV
SO Progress In Oceanography
SN 0079-6611
PU Elsevier BV
VL 178
UT 000496861900009
DI 10.1016/j.pocean.2019.102162
ID 62132
ER

EF