Effects of Spring–Neap Tidal Cycle on Spatial and Temporal Variability of Satellite Chlorophyll-A in a Macrotidal Embayment, Ariake Sea, Japan

Yang, Misuk; Goés, Joaquim I.; Tian, Hongzhen; Maúre, Elígio de Ráus; Ishizaka, Joji

doi:10.3390/rs12111859

Cited by 5 publications

(17 citation statements)

References 32 publications

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“…Similarly, the total suspended sediment (TSM), which is a major constituent in coastal waters, is involved in processes such as light attenuation, pollutant propagation, and waterway blockages. The spatial distribution of TSM is an indicator of deposition and erosion patterns in estuaries and coastal zones and a necessary input deposition and erosion patterns in estuaries and coastal zones and a necessary input for estimating the material fluxes from the land through rivers to the sea [1][2][3][4][5]. However, satellite ocean color datasets are fraught with missing data caused by improper conditions, such as clouds and rain [3,6].…”

Section: Introductionmentioning

confidence: 99%

“…Chl-a and TSM are two common indicators of water quality. There have been several efforts to estimate the spatial and temporal variability of Chl-a and TSM in the Ariake Sea using satellite ocean color data [1,18]. Using significantly improved, regionally-tuned Moderate Resolution Imaging Spectroradiometer (MODIS) datasets from 2002 to 2017, Yang et al [1] reported that the Chl-a variability during the spring-neap tidal cycle in the region off Saga (Figure 1) was generally controlled by TSM in seasons other than summer, Figure 1.…”

Section: Introductionmentioning

confidence: 99%

“…There have been several efforts to estimate the spatial and temporal variability of Chl-a and TSM in the Ariake Sea using satellite ocean color data [1,18]. Using significantly improved, regionally-tuned Moderate Resolution Imaging Spectroradiometer (MODIS) datasets from 2002 to 2017, Yang et al [1] reported that the Chl-a variability during the spring-neap tidal cycle in the region off Saga (Figure 1) was generally controlled by TSM in seasons other than summer, when the Chl-a variability was mostly controlled by river discharge. They also found that the influence of TSM on the Chl-a variability was small in Isahaya Bay and off Kumamoto ( Figure 1) due to the low TSM concentrations, based on significantly improved, regionally-tuned MODIS datasets from 2002 to 2017.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the monthly average of Sea-viewing Wide Field-of-view Sensor (SeaWiFS) data from May 1998 to December 2001, Ishizaka et al [18] reported that Chl-a peaks occurred in summer and fall following peaks in rain and river discharge based on the monthly average of Sea-viewing Wide Field-ofview Sensor (SeaWiFS) data from May 1998 to December 2001. However, the satellite ocean color data used in previous studies had many spatial gaps, which made it difficult to capture the short-term variability of Chl-a and TSM [1]. Gaps in data, both spatial and temporal, can also affect the analysis of climatology data.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, other environmental variables, including the sea level amplitude, sea surface temperature (SST), and wind, are also key factors responsible for Chl-a and/or TSM dynamics in the Ariake Sea. For the sea level amplitude, the individual events of spring-neap tidal cycles have often been used [1,19]. For example, the sea level amplitude is the highest and lowest during spring and neap tide, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the Monthly and Spring-Neap Tidal Variability of Satellite Chlorophyll-a and Total Suspended Matter in a Turbid Coastal Ocean Using the DINEOF Method

et al. 2021

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Missing spatial data is one of the major concerns associated with the application of satellite data. The Data INterpolating Empirical Orthogonal Functions (DINEOF) method has been proven to be an effective tool for filling spatial gaps in various satellite data products. The Ariake Sea, which is a turbid coastal sea, shows the large spatial and temporal variability of chlorophyll-a (Chl-a) and total suspended matter (TSM). However, ocean color satellite data for this region usually have large gaps, which affects the accurate analysis of Chl-a and TSM variability. In this study, we applied the DINEOF method to fill the missing pixels from the regionally tuned Moderate Resolution Imaging Spectroradiometer (MODIS)-Aqua (hereafter, MODIS) Chl-a and MODIS-derived TSM datasets for the period 2002–2017. The validation results showed that the DINEOF reconstructed data were accurate and reliable. Furthermore, the Empirical Orthogonal Functions (EOF) analysis based on the reconstructed data was used to quantitatively analyze the spatial and temporal variability of Chl-a and TSM at both monthly and individual events of spring-neap tidal scales. The first three EOF modes of Chl-a showed seasonal variability mainly caused by precipitation, the sea surface temperature (SST), and river discharge for the first EOF mode and the sea level amplitude for the second. The first three EOF modes of TSM exhibited both seasonal and spring-neap tidal variability. The first and second EOF modes of TSM displayed spring-neap tidal variability caused by the sea level amplitude. The second EOF mode of TSM also showed seasonal variability caused by the sea level amplitude. In this study, we first applied the DINEOF method to reconstruct the satellite data and to capture the major spatial and temporal variability of Chl-a and TSM for the Ariake Sea. Our results demonstrate that the DINEOF method can reconstruct patchy oceanic color datasets and improve spatio-temporal variability analysis.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Analysis of the Monthly and Spring-Neap Tidal Variability of Satellite Chlorophyll-a and Total Suspended Matter in a Turbid Coastal Ocean Using the DINEOF Method

et al. 2021

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Use of AERONET-OC for validation of SGLI/GCOM-C products in Ariake Sea, Japan

et al. 2022

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A station of AErosol RObotic NETwork Ocean Color (AERONET-OC) has been set on the Ariake Observation Tower of Saga University on April, 2018, for verification of the Second generation Global Imager (SGLI)/Global Change Observation Mission-Climate (GCOM-C). Remote sensing reflectance (Rrs) observed by the AERONET-OC was used for verification of SGLI. SGLI Version 1 data underestimated the shortwave Rrs and Rrs (380) and Rrs(412) were mostly negative, while the estimation was improved by Version 2 with the correction of Rrs(412) to be positive. It was indicated that absorptive aerosol was influenced to SGLI atmospheric correction and caused the underestimation of Rrs. Simple linear correction method to improve shortwave Rrs also worked well for specifically Version 1 data. Water constituents, chlorophyll-a (Chl-a), total suspended matter (TSM) and colored dissolved organic matter (CDOM) of the SGLI were also verified by the ship observation data. All constituents were improved from Version 1 to 2 with the correction of Rrs, although Version 2 underestimated Chl-a and CDOM. Simple regression algorithms were also examined with in situ as well as SGLI Rrs data, and it indicated that more sophisticated algorithms may be required. Time series of water constituents derived from AERONET-OC and SGLI data were compared to river discharge and spring–neap tidal cycle. The results indicated that the behavior, such as the increase of Chl-a after river discharge and interaction of Chl-a and TSM with the spring–neap tidal cycles were observed, although estimations of water constituents were not completely separated by the algorithms.

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Tidal Variability of Phytoplankton Distribution in the Highly Turbid Changjiang River Estuary: Mechanisms and Implications

Wang,

Xu,

Feng

et al. 2023

JGR Oceans

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Phytoplankton distribution in macrotidal estuaries varies strongly due to highly dynamic conditions, contributing to the complexity of aquatic environments and marine ecosystems. Here the Changjiang River Estuary was analyzed as an example to explore this issue, based on field data collected through multiple cruises (including one covering a complete spring‐neap tidal cycle) and a fully coupled hydrodynamics‐sediment‐ecosystem numerical model. The composite analysis of all cruise data clearly showed that the chlorophyll concentrations were relatively low on lunar days 14–17 and 28–2, which corresponded to spring tides. Mechanistic analysis indicated that during spring tides, the river plume front retracts upstream with enhanced vertical mixing. This process restricts the transport of fluvial nutrients while increasing sediment resuspension, and therefore inhibiting net phytoplankton growth. During non‐spring tides, sediment resuspension was reduced but the river plume was further extended with slowed tidal currents, which enhanced the onshore light availability and offshore nutrient conditions and hence stimulated phytoplankton blooms in a larger area. The onshore shifting trend of the chlorophyll maximum region could last till the following neap tide with improved onshore light conditions and activate more conservative nutrients. The non‐conservation of nutrients augments the uncertainty of biomass variations during non‐spring periods. Besides in the spring‐neap tidal cycle, the phytoplankton variability between the perigean and apogean spring tides was also revealed. This study contributes to an improved understanding of intertidal variations of phytoplankton bloom and underlying physical‐sedimentological‐biological coupling mechanisms in tidal estuaries.

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Effects of Spring–Neap Tidal Cycle on Spatial and Temporal Variability of Satellite Chlorophyll-A in a Macrotidal Embayment, Ariake Sea, Japan

Cited by 5 publications

References 32 publications

Analysis of the Monthly and Spring-Neap Tidal Variability of Satellite Chlorophyll-a and Total Suspended Matter in a Turbid Coastal Ocean Using the DINEOF Method

Analysis of the Monthly and Spring-Neap Tidal Variability of Satellite Chlorophyll-a and Total Suspended Matter in a Turbid Coastal Ocean Using the DINEOF Method

Use of AERONET-OC for validation of SGLI/GCOM-C products in Ariake Sea, Japan

Tidal Variability of Phytoplankton Distribution in the Highly Turbid Changjiang River Estuary: Mechanisms and Implications

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