Remotely-sensed chlorophyll a observations of the northern Red Sea indicate seasonal variability and influence of coastal reefs

Acker, James G.; Leptoukh, G.; Shen, Suhung; Zhu, Tong; Kempler, Steven

doi:10.1016/j.jmarsys.2005.12.006

Cited by 119 publications

(149 citation statements)

References 13 publications

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“…These are shown in Figure 2 for the four regions represented in Figure 1 and listed in Table 1. Note these are similar to the latitude-time plots of Acker et al [22], but the axes have been switched. Due to the large north-south differences in the magnitude of Chl-a in the Red Sea, the OC-CCI data (left panels) have been plotted on a logarithmic scale using different ranges for each domain.…”

Section: Chl-a Climatology In the Read Sea And Anomaly Identificationsupporting

confidence: 64%

“…The stacked bars clearly show the relative contribution of each of the regions to the overall Chl-a concentration in the basin, with the SRS being the largest contributor, and the SCRS being the second largest [17,22,30,31]. The >3 mg m −3 -high Chl-a anomaly in June 2015 stands out clearly with the overall Chl-a load reported for the entire Red Sea being even greater than what is observed in the winter months.…”

Section: Chl-a Climatology In the Read Sea And Anomaly Identificationmentioning

confidence: 83%

“…South of 20 • N, during the Northeast Monsoon (November-February), the winds blow from the south-southeast, and during the Southwest Monsoon (June-September), the winds blow from the northwest to north-northwest [21]. This change in the prevailing winds affects the occurrence of dust storms over the Red Sea, as well as SST and salinity, especially in the southern part of the basin [7,9,22]. …”

Section: Methodsmentioning

confidence: 99%

“…Both sets of panels in Figure 2 show the strong seasonal pattern in Chl-a in the Red Sea with increased concentrations in boreal winter (December-January) and decreased concentrations in boreal summer (June-August) [17,22,30,31]. The anomalous feature of interest appears in the SCRS in the summer of 2015 as a band of enhanced Chl-a values (warm colors) that is easier to identify in the MODIS-Aqua data, but is also apparent in the OC-CCI dataset.…”

Section: Chl-a Climatology In the Read Sea And Anomaly Identificationmentioning

confidence: 99%

See 3 more Smart Citations

Synergistic Use of Remote Sensing and Modeling to Assess an Anomalously High Chlorophyll-a Event during Summer 2015 in the South Central Red Sea

El-Askary

Manikandan

et al. 2017

Remote Sensing

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An anomalously high chlorophyll-a (Chl-a) event (>2 mg/m 3 ) during June 2015 in the South Central Red Sea (17.5 • to 22 • N, 37 • to 42 • E) was observed using Moderate Resolution Imaging Spectroradiometer (MODIS) data from the Terra and Aqua satellite platforms. This differs from the low Chl-a values (<0.5 mg/m 3 ) usually encountered over the same region during summertime. To assess this anomaly and possible causes, we used a wide range of oceanographical and meteorological datasets, including Chl-a concentrations, sea surface temperature (SST), sea surface height (SSH), mixed layer depth (MLD), ocean current velocity and aerosol optical depth (AOD) obtained from different sensors and models. Findings confirmed this anomalous behavior in the spatial domain using Hovmöller data analysis techniques, while a time series analysis addressed monthly and daily variability. Our analysis suggests that a combination of factors controlling nutrient supply contributed to the anomalous phytoplankton growth. These factors include horizontal transfer of upwelling water through eddy circulation and possible mineral fertilization from atmospheric dust deposition. Coral reefs might have provided extra nutrient supply, yet this is out of the scope of our analysis. We thought that dust deposition from a coastal dust jet event in late June, coinciding with the phytoplankton blooms in the area under investigation, might have also contributed as shown by our AOD findings. However, a lag cross correlation showed a two-month lag between strong dust outbreak and the high Chl-a anomaly. The high Chl-a concentration at the edge of the eddy emphasizes the importance of horizontal advection in fertilizing oligotrophic (nutrient poor) Red Sea waters.

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Section: Chl-a Climatology In the Read Sea And Anomaly Identificationsupporting

confidence: 64%

Section: Chl-a Climatology In the Read Sea And Anomaly Identificationmentioning

confidence: 83%

Section: Methodsmentioning

confidence: 99%

Section: Chl-a Climatology In the Read Sea And Anomaly Identificationmentioning

confidence: 99%

See 2 more Smart Citations

Synergistic Use of Remote Sensing and Modeling to Assess an Anomalously High Chlorophyll-a Event during Summer 2015 in the South Central Red Sea

El-Askary

Manikandan

et al. 2017

Remote Sensing

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“…The Red Sea is considered as an oligotrophic water body due to deficient of several major nutrients such as nitrate, ammonium, phosphate, and silicate [12]. The required nutrients for photosynthetic activity have to come through water intrusion (from the Gulf of Aden), the sub-surface (below the nutricline), or via aerial deposition.…”

Section: Introductionmentioning

confidence: 99%

Seasonal Dynamics and Community Composition of Epilithic Microalgae in Relation with Environmental Factors at Northwest coast of Jeddah, The Red Sea

Al-Harbi¹

2017

J Oceanogr Mar Res

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Exploring the Red Sea seasonal ecosystem functioning using a three-dimensional biophysical model

Triantafyllou

Yao

Petihakis

et al. 2014

J. Geophys. Res. Oceans

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The Red Sea exhibits complex hydrodynamic and biogeochemical dynamics, which vary both in time and space. These dynamics have been explored through the development and application of a 3-D ecosystem model. The simulation system comprises two off-line coupled submodels: the MIT General Circulation Model (MITgcm) and the European Regional Seas Ecosystem Model (ERSEM), both adapted for the Red Sea. The results from an annual simulation under climatological forcing are presented. Simulation results are in good agreement with satellite and in situ data illustrating the role of the physical processes in determining the evolution and variability of the Red Sea ecosystem. The model was able to reproduce the main features of the Red Sea ecosystem functioning, including the exchange with the Gulf of Aden, which is a major driving mechanism for the whole Red Sea ecosystem and the winter overturning taking place in the north. Some model limitations, mainly related to the dynamics of the extended reef system located in the southern part of the Red Sea, which is not currently represented in the model, still need to be addressed.

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Remotely-sensed chlorophyll a observations of the northern Red Sea indicate seasonal variability and influence of coastal reefs

Cited by 119 publications

References 13 publications

Synergistic Use of Remote Sensing and Modeling to Assess an Anomalously High Chlorophyll-a Event during Summer 2015 in the South Central Red Sea

Synergistic Use of Remote Sensing and Modeling to Assess an Anomalously High Chlorophyll-a Event during Summer 2015 in the South Central Red Sea

Seasonal Dynamics and Community Composition of Epilithic Microalgae in Relation with Environmental Factors at Northwest coast of Jeddah, The Red Sea

Exploring the Red Sea seasonal ecosystem functioning using a three-dimensional biophysical model

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