Assessment of a regional physical–biogeochemical stochastic ocean model. Part 2: Empirical consistency

Vervatis, Vassilios; Mey-Frémaux, Pierre de; Ayoub, Nadia; Karagiorgos, John; Ciavatta, Stefano; Brewin, Robert J. W.; Sofianos, Sarantis

doi:10.1016/j.ocemod.2021.101770

Cited by 4 publications

(3 citation statements)

References 42 publications

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“…S1 presents the temporal variability of the PFT data in the Bay of Biscay, during the period December, 2011 to June, 2012. We also show the ocean colour L4 total chlorophyll product used in the Part 1 article (Vervatis et al, 2021) and we verify that concentrations are of the same order to those of the PFT total chlorophyll. According to this, we categorised the four satellite PFT (pico, nano, diatoms and dino) into the two broad size groups in PISCES (nano or diatoms), in a manner most representative, ensuring that the total biomass (chlorophyll) from the model and satellite data can be compared like-for-like.…”

Section: Supplementary Materialsmentioning

confidence: 53%

“…We describe and implement consistency analysis methods to produce a quantitative assessment of the stochastic modelling of coupled physical and biogeochemical processes. Two other methods to assess the empirical consistency of ensembles will be discussed in a companion article (Vervatis et al, 2021). We complement this quantitative assessment with a qualitative approach, in which the stochastic model is evaluated by exploring its ability to generate consistent multivariate incremental model corrections.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation

et al. 2021

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Section: Supplementary Materialsmentioning

confidence: 53%

Section: Introductionmentioning

confidence: 99%

Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation

et al. 2021

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“…The average soil pH analysis in the coastal waters of the mangrove ecosystem of Tongke-Tongke Village was acidic, as presented in Table 1. This was due to the low water circulation system in the mangrove ecosystem because the vegetation density reaches 12.000 trees ha -1 , causing organic matter from the decomposition process of leaves, flowers, and fruit between the mangrove roots [13]. The analysis showed a direct correlation between the three observation transects, with lower pH on the inner transect or land direction following the middle, outer transect, or sea direction.…”

Section: ) Soil Phmentioning

confidence: 96%

Quality Parameters of Soil Chemical Physics and Water Ecosystem in Indonesia

Sambu,

Burhanuddin,

Amruddin

2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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This research aimed to analyze the characteristics of coastal waters as well as the water and soil quality parameters using direct field observations or measurements and laboratory analysis. The results showed that the characteristics of the coastal waters include a 2.5 km coastline length in Tongke-Tongke Village, 1.2 average high tides, and 0-5 beach floor slope elevation degrees. The soil quality parameters include an average soil pH of 5.53, organic matter of 7.83 ppm, nitrogen of 0.19 ppm, phosphorus of 70.56 ppm, potassium of 220.80 ppm, the iron of 0.21 ppm, and soil texture of sandy mud with 45% dominated by watersheds, 40% by tides and waves, and 15% clay. Similarly, the water quality parameters include average water temperature at 29.780, 6.97pH, 30.40 ppt salinity, 4.06 ppm oxygen, 30.60 cm turbidity, and 0.87 ppm ammonia. The measurements and analysis of soil and water quality parameters were dynamic based on seasonal conditions. Therefore, the coastal waters of Tongke-Tongke Village were suitable as a research location due to the diverse flora and fauna. Meanwhile, for tourism, the sedimentation volume from the watershed and the sea should be minimized through tides and waves. Floating net cages and other marine cultivation also need further development as tourist attractions.

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Biophysical matter in a marine estuary identified by the Sentinel-3B OLCI satellite and the presence of terrestrial iron (Fe) nanoparticles

Neckel

Oliveira

Bolaño

et al. 2021

Marine Pollution Bulletin

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The analysis of marine matter using the Sentinel-3B OLCI (Ocean Land Color Instrument) satellite is the most advanced technique for evaluating: the absorption of colored detrital and dissolved material (ADG_443_NN), total suspended matter concentration (TSM_NN) and of chlorophyll-a (CHL_NN) on a global scale. The objective is to analyze ADG_443_NN, TSM_NN and CHL_NN using the Sentinel-3B OLCI satellite and the presence of Fe-nanoparticles (NPs) + hazardous elements (HEs) in suspended sediments (SSs) in the maritime estuary of the Colombian city of Barranquilla. The study used the unpublished image of the Sentinel-3B OLCI satellite in the evaluation of ADG_443_NN, TSM_NN and CHL_NN in 72 sampled points. Subsequently, 36 samples of SSs were carried out in the Magdalena River, in the identification of Fe-NPs by advanced electron microscopies. The Sentinel-3B satellite revealed particulate accumulations in OCE1 through the intensity of OLCI in ocean. There was also a high Fe-NPs intensity of SSs in the Magdalena channel, spreading contamination to large regions.

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Assessment of a regional physical–biogeochemical stochastic ocean model. Part 2: Empirical consistency

Cited by 4 publications

References 42 publications

Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation

Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation

Quality Parameters of Soil Chemical Physics and Water Ecosystem in Indonesia

Biophysical matter in a marine estuary identified by the Sentinel-3B OLCI satellite and the presence of terrestrial iron (Fe) nanoparticles

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