Satellite and In Situ Monitoring of Chl-a, Turbidity, and Total Suspended Matter in Coastal Waters: Experience of the Year 2017 along the French Coasts

被引:15
作者
Gohin, Francis [1 ]
Bryere, Philippe [2 ]
Lefebvre, Alain [3 ]
Sauriau, Pierre-Guy [4 ]
Savoye, Nicolas [5 ]
Vantrepotte, Vincent [6 ]
Bozec, Yann [7 ]
Cariou, Thierry [8 ]
Conan, Pascal [9 ]
Coudray, Sylvain [10 ]
Courtay, Gaelle [11 ]
Francoise, Sylvaine [12 ]
Goffart, Anne [13 ]
Farinas, Tania Hernandez [12 ]
Lemoine, Maud [14 ]
Piraud, Aude [15 ]
Raimbault, Patrick [16 ]
Retho, Michael [17 ]
机构
[1] IFREMER, DYNECO PELAGOS, Lab Ecol Pelag, CS 10070, F-29280 Plouzane, Brittany, France
[2] Argans France, Etab Brest, F-29200 Brest, France
[3] IFREMER, Lab Environm & Ressources Boulogne Sur Mer, BP 699, F-62321 Quai Gambetta, Boulogne Sur Me, France
[4] Univ La Rochelle, CNRS, UMR7266, Littoral Environm & Soc LIENSs, 2 Rue Olympe de Gouges, F-17000 La Rochelle, France
[5] Univ Bordeaux, CNRS, UMR 5805, EPOC,EPHE, F-33600 Pessac, France
[6] Univ Lille, CNRS, ULCO, Lab Oceanol & Geosci LOG UMR8187, F-62930 Wimereux, France
[7] Sorbonne Univ, UMR 7144 AD2M, UPMC Univ Paris 06, Stn Biol Roscoff,CNRS, F-29680 Roscoff, France
[8] Sorbonne Univ, Stn Biol Roscoff, Federat Rech FR2424, CNRS, F-29680 Roscoff, France
[9] Sorbonne Univ, UPMC Paris 6, Lab Oceanog Microbienne LOMIC, CNRS UMR 7621, F-66650 Banyuls Sur Mer, France
[10] IFREMER, Zone Portuaire de Bregaillon, Lab Environm & Ressources Provence Azur Corse, CS20 330, F-83507 La Seyne Sur Mer, France
[11] Univ Montpellier, IFREMER UMR 5244 IHPE, Pl Eugene Bataillon,CC 80, F-34095 Montpellier 5, France
[12] IFREMER, Lab Environm & Ressources Normandie, Av Gen Gaulle,BP 32, F-14520 Port En Bessin, France
[13] Univ Liege, FOCUS Res Unit, Lab Oceanol, Allee 6 Aout,11,B6c, B-4000 Liege, Belgium
[14] IFREMER, VIGIES, Rue Ile dYeu, F-44311 Nantes 03, France
[15] IFREMER, Lab Environm & Ressources Pertuis Charentais, Ave Mus de Loup, F-17390 Ronce Les Bains, La Tremblade, France
[16] Univ Aix Marseille, Univ Toulon, CNRS INSU, Mediterranean Inst Oceanog MIO 110,IRD, F-13288 Marseille, France
[17] IFREMER, Lab Environm & Ressources Morbihan Pays de Loire, Rue Francois Toullec, F-56100 Lorient, France
关键词
satellite; coastal monitoring; Chlorophyll-a; Total suspended matter; turbidity; CHLOROPHYLL-A; KARENIA-MIKIMOTOI; PHYTOPLANKTON BLOOM; PARTICULATE MATTER; ENGLISH-CHANNEL; LONG-TERM; ALGORITHM; BAY; WINTER; MERIS;
D O I
10.3390/jmse8090665
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The consistency of satellite and in situ time series of Chlorophyll-a (Chl-a), Turbidity and Total Suspended Matters (TSM) was investigated at 17 coastal stations throughout the year 2017. These stations covered different water types, from relatively clear waters in the Mediterranean Sea to moderately turbid regions in the Bay of Biscay and the southern bight of the North-Sea. Satellite retrievals were derived from MODIS/AQUA, VIIRS/NPP and OLCI-A/Sentinel-3 spectral reflectance. In situ data were obtained from the coastal phytoplankton networks SOMLIT (CNRS), REPHY (Ifremer) and associated networks. Satellite and in situ retrievals of the year 2017 were compared to the historical seasonal cycles and percentiles, 10 and 90, observed in situ. Regarding the sampling frequency in the Mediterranean Sea, a weekly in situ sampling allowed all major peaks in Chl-a caught from space to be recorded at sea, and, conversely, all in situ peaks were observed from space in a frequently cloud-free atmosphere. In waters of the Eastern English Channel, lower levels of Chl-a were observed, both in situ and from space, compared to the historical averages. However, despite a good overall agreement for low to moderate biomass, the satellite method, based on blue and green wavelengths, tends to provide elevated and variable Chl-a in a high biomass environment. Satellite-derived TSM and Turbidity were quite consistent with in situ measurements. Moreover, satellite retrievals of the water clarity parameters often showed a lower range of variability than their in situ counterparts did, being less scattered above and under the seasonal curves of percentiles 10 and 90.
引用
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页码:1 / 25
页数:25
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