An exclusive in-situ dataset on physicochemical parameters in the gappy northern Bay of Bengal

Masud-Ul-Alam, Md; Khan, Ashif Imam; Sunny, Saif Khan; Rahman, Ashikur; Rahman, Muhammad Shahinur; Mahmud, Bayzid; Shaheen, Ashifur Rahman

doi:10.1016/j.dib.2020.106024

Cited by 8 publications

(4 citation statements)

References 4 publications

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“…This CTD probe is capable of measuring to 2000-m depth with a temperature accuracy of AE0.002°C and a conductivity accuracy of AE0.002 mS cm −1 . 62 The most recent CTD profiles were collected in three field sessions. The first session took place in January 2020, during a field expedition by the Department of Oceanography and Hydrography of Bangabandhu Sheikh Mujibur Rahman Maritime University (BSMRMU) aboard a fishing boat.…”

Section: In Situ Measurementsmentioning

confidence: 99%

“…The cruises occurred over 3 months, and they sampled vertical depths down to 50 m. The raw CTD data were processed into a more user-friendly NetCDF format for efficient storage, usage, and sharing. 62 Vertical profiles of temperature and salinity were taken from this processed CTD data. In this study, only surface values of temperature and salinity were analyzed; a follow-up study is planned to compare subsurface temperature and salinity to model output.…”

Section: In Situ Measurementsmentioning

confidence: 99%

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Surface temperature and salinity in the northern Bay of Bengal: in situ measurements compared with satellite observations and model output

Masud-Ul-Alam

Khan²,

Barrett

et al. 2022

J. Appl. Rem. Sens.

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The northern Bay of Bengal (BoB) has been traditionally understudied and undersampled. Satellite and modeling products could compensate for the scarcity of in situ measurements, but this requires evaluating the accuracy of satellite and modeling products first. We present a comparison of sea surface temperature (SST) and sea surface salinity (SSS) products (satellite and model output) with 46 in situ observations in the northern BoB. We used satellite and modeled SST (daily) and SSS (weekly and daily) in this comparison. The results are as follows.(1) Both model and satellite-derived SSTs agreed well with in situ observations and with each other, with small biases (<1°C) and large correlation coefficients (r > 0.77).(2) Neither model nor satellite SSSs agreed well with in situ observations (biases > 0.5 PSU, r < 0.54).(3) Calculations of the d-index support the argument that model and satellite SSTs agreed well with in situ observations (d-index values of 0.68 and 0.65, respectively), while the model and satellite SSSs did not agree well with observations (d-index values of 0.31 and 0.40, respectively). The results suggest that additional work is needed to improve both model prediction and satellite retrieval algorithms for SSS in the northern BoB.

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Section: In Situ Measurementsmentioning

confidence: 99%

Section: In Situ Measurementsmentioning

confidence: 99%

Surface temperature and salinity in the northern Bay of Bengal: in situ measurements compared with satellite observations and model output

Masud-Ul-Alam

Khan²,

Barrett

et al. 2022

J. Appl. Rem. Sens.

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“…This bay ensembles higher magnitudes of changes in the aspect of thermodynamic parameters, compared to its neighboring Arabian Sea or the northern Indian Ocean [1] . Yet, a lack of collaborative research and research vessel, as well as paucity and unavailability of observational data [2] , restricts through and continuous monitoring of these physico-chemical dynamics. The input of a large quantity of freshwater from major rivers [3] have a dominant influence on physico-chemical properties, therefore, needs to analyze with in-situ data of this region.…”

Section: Data Descriptionmentioning

confidence: 99%

In-situ datasets of important physical and bio-chemical parameters in the continental shelf of the northern Bay of Bengal

et al. 2021

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Data equipped with this article were collected from Northern Bay of Bengal (NBoB) wrapping both the eastern and western coast for CTD and sediment samples and only the eastern coast for water sampling. In-situ data of physical parameters, heavy metals, elements, Total Organic Carbon (TOC), nutrients, chlorophyll-a and phaeopigment were sampled across the shallow continental shelf. These data were assembled from 15 CTD points, 76 water samples, and 10 surface sediment samples adjacent to Bangladesh coast. Vertical CTD profiles were collected for Temperature ( °C), Salinity (PSU), Density (kg m −3 ), Turbidity (NTU), Fluorescence (mg m −3 ), and Dissolved Oxygen (DO, mg/l). Heavy metals (mg/l) of water column enlisted as Calcium (Ca), Cadmium (Cd), Copper (Cu), Cobalt (Co), Iron (Fe), Manganese (Mn), Magnesium (Mg), Nickel (Ni), Lead (Pb), and Zinc (Zn). Total Organic Carbon (TOC) was measured as Non-Purgeable Organic Carbon (NPOC) in ppm. Measurements of Chlorophyll - a, Nitrate, Nitrite, Phosphate, Ammonia, Silica and Phaeopigment were taken from 76 water sampling points. The survey was conducted with the assistance of a fishing vessel ‘Agro food-4 ‘of ‘Sea Resource Ltd.’ lengthening a fishing period from January to February (in winter), 2016. SBE 19 plus V2 CTD machine was deployed for sampling of vertical physical features, Niskin sampler of HYDRO-BIOS consisting of a non-metallic interior was used to collect water sample. Sediment was collected by Van Veen Grab sampler with built-in messenger. Water samples were analyzed following the standard procedure in the laboratory to access in-situ data. The shallow coastal and offshore regions of Bangladesh support for vast biological resources to its adjacent inhabitants. Therefore, understanding the influence of physico-chemical properties on other biological resources in coastal ecosystem is a crucial one to investigate. However, the shelf region of the BoB has a lack of in-situ baseline or reference data to compare with in terms of ocean biogeochemistry. Thus, these datasets can be utilized for further reference and also in validating other remotely-sensed physico-chemical parameters in this region.

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“…Despite its importance, the Bay of Bengal is one of the most understudied bodies of water in the world ( 9 ). Consequently, the microbial communities at the foundation of the BoB ecosystem remain poorly understood.…”

Section: Introductionmentioning

confidence: 99%

Phylogenetic diversity and functional potential of large and cell-associated viruses in the Bay of Bengal

Minch,

Akter,

Weinheimer

et al. 2023

mSphere

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The Bay of Bengal (BoB) is the world’s largest bay, offering essential services like fishing and recreation while holding significant economic value for coastal communities. However, the BoB faces environmental challenges from monsoons, freshwater inputs, rising sea levels, and intensified cyclones due to climate change. Human activities such as tourism and development also impact the region, necessitating a global change perspective. Despite its importance, microbial diversity and ecology in the BoB remain largely unexplored. We focused on large and cell-associated viruses (i.e., originating from the cellular size fraction), particularly giant viruses and large phages in two BoB coastal sites: Cox’s Bazar, a populated beach with freshwater influences, and Saint Martin Island, a less affected resort island. Metagenomic sequencing reveals a higher abundance and diversity of viruses in Cox’s Bazar and presence of viruses that suggest freshwater intrusion and runoff. We identified 1962 putative phage genomes (10–655 kbp). Notably, 16 “large” phages >100 kbp were found in Saint Martin, and a terminase large subunit marker gene phylogeny revealed substantial diversity of large phages along the BoB coast. The BoB virome encodes diverse functionalities, with a greater presence of auxiliary metabolic genes in the Cox’s Bazar viral community. Additionally, five giant virus genomes (phylum Nucleocytoviricota) encoding various functionalities are reconstructed from Cox’s Bazar (83–876 kbp). This pioneering study revealing the viral diversity and host interactions in coastal BoB lays the foundation for future investigations into viral impact on biogeochemical cycles and the microbial food web in this understudied environment. IMPORTANCE The BoB, the world’s largest bay, is of significant economic importance to surrounding countries, particularly Bangladesh, which heavily relies on its coastal resources. Concurrently, the BoB holds substantial ecological relevance due to the region’s high vulnerability to climate change-induced impacts. Yet, our understanding of the BoB’s microbiome in relation to marine food web and biogeochemical cycling remains limited. Particularly, there are little or no data on the viral diversity and host association in the BoB. We examined the viral community in two distinct BoB coastal regions to reveal a multitude of viral species interacting with a wide range of microbial hosts, some of which play key roles in coastal biogeochemical cycling or potential pathogens. Furthermore, we demonstrate that the BoB coast harbors a diverse community of large and giant viruses, underscoring the importance of investigating understudied environments to discover novel viral lineages with complex metabolic capacities.

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An exclusive in-situ dataset on physicochemical parameters in the gappy northern Bay of Bengal

Cited by 8 publications

References 4 publications

Surface temperature and salinity in the northern Bay of Bengal: in situ measurements compared with satellite observations and model output

Surface temperature and salinity in the northern Bay of Bengal: in situ measurements compared with satellite observations and model output

In-situ datasets of important physical and bio-chemical parameters in the continental shelf of the northern Bay of Bengal

Phylogenetic diversity and functional potential of large and cell-associated viruses in the Bay of Bengal

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