Data

Vertical light profiling data (NESP TWQ 2.1.9, AIMS)

eAtlas
Jones, Ross
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://eatlas.org.au/data/uuid/274ef866-9cba-4c1c-92b8-05ba1b3e165d&rft.title=Vertical light profiling data (NESP TWQ 2.1.9, AIMS)&rft.identifier=https://eatlas.org.au/data/uuid/274ef866-9cba-4c1c-92b8-05ba1b3e165d&rft.description=The aim of the study was to obtain light and turbidity vertical profile data through the water column in Cleveland Bay over a four-day period and during maintenance dredging to use for developing an empirical spectral solar irradiance model. This dataset consists of 95 data files (spreadsheets). One file (.xlsx format) contains the spectral attenuation coefficient for downwelling light, Kd (lambda), for the 94 different vertical profiles taken within Cleveland Bay. In addition, individual raw data files from the USSIMO Hyperspectral Irradiance Sensor for each profile are provided (.csv format). Methods: Over a 4-d period (12–15 September 2016), and during a period of routine maintenance dredging, 94 light and turbidity vertical profiles were measured through the water column in Cleveland Bay using a USSIMO multispectral radiometer (In Situ Marine Optics, Perth, Australia) and IMO-NTU turbidity sensor. The USSIMO incorporates a Carl Zeiss UV/VIS miniature monolithic spectrometer module as the internal light recording device providing irradiance measurement values at nanometer spectral spacing. For each vertical profile the irradiance just-below surface incident irradiance Ed (0-, lambda) and the light attenuation coefficient Kd (lambda) were determined using the Beer-Lambert law. These data were used to calculate the wavelength specific light attenuation coefficients for downwelling light, Kd (lambda), using the relationship, E(lambda,z)=E(lambda,0) exp (-K_d (lambda),z) Where: E (lambda,z) is the spectral downwelling irradiance at depth z, and E (lambda,0) is the spectral downwelling irradiance just below the ocean’s surface. The accelerometer in the USSIMO was used to assess if the instrument was vertical and stable and the first 0.2 m of all deployments was discarded prior to calculating Kd. Kd values, along with the latitude and longitude for each station and the date and time of day the vertical profiling occurred can be found in the spreadsheet (.xlsx format). Each individual raw data file (.csv format) from the USSIMO sensor contains normalised Ed values (e.g. in-water Ed divided by above-water reference Ed), as well as the latitude and longitude for each station and the date and time of day the vertical profiling occurred. Limitations of the data: The value of NaN appears in the spreadsheet NewDataset1_ALL_Kd_DATA.xlsx for spectral attenuation coefficient for downwelling light, Kd (lambda). It describes values too low under highly turbid conditions to reliably calculate the Kd value. Format: This dataset contains a single Excel file with a size of 46 KB and 94 csv files ranging in size from 11 to 202 KB. Data Dictionary: Spreadsheet NewDataset1_ALL_Kd_DATA.xlsx Row headings include: Date, Local Time, Latitude, Longitude, Station ID, vertically averaged Kd (550 nm). The heading lambda(nm) [in cell A7] is noting that 400 to 700 below are wavelengths in nanometres (nm). Data Location: This dataset is filed in the eAtlas enduring data repository at: data\nesp2\2.1.9-Dredging-marine-response&rft.creator=Jones, Ross &rft.date=2019&rft.coverage=146.91401550052421,-19.3053513476747 146.90451339294754,-19.304437632669163 146.89516773271492,-19.302620213510878 146.88608091283555,-19.29991900222447 146.87735249040952,-19.296363593846053 146.86907809585955,-19.291992942173863 146.86134838518382,-19.28685493298221 146.85424804671,-19.281005859375 146.84785487323234,-19.274509805026682 146.84223890969722,-19.26743794206807 146.83746168577642,-19.259867751309628 146.83357554173486,-19.25188217334545 146.83062305497992,-19.24356869983886 146.82863657357436,-19.235018414945273 146.82763786182406,-19.2263249973752 146.82763786182406,-19.217583694030793 146.82863657357436,-19.208890276460735 146.83062305497992,-19.20033999156712 146.83357554173486,-19.192026518060516 146.83746168577642,-19.184040940096367 146.84223890969722,-19.176470749337923 146.84785487323234,-19.169398886379327 146.85424804671,-19.162902832030994 146.86134838518382,-19.1570537584238 146.86907809585955,-19.151915749232145 146.87735249040952,-19.14754509755994 146.88608091283555,-19.143989689181524 146.89516773271492,-19.14128847789513 146.90451339294754,-19.139471058736845 146.91401550052421,-19.138557343731293 146.9235699483658,-19.138557343731293 146.9330720559425,-19.139471058736845 146.9424177161751,-19.14128847789513 146.95150453605447,-19.143989689181524 146.9602329584805,-19.14754509755994 146.96850735303047,-19.151915749232145 146.9762370637062,-19.1570537584238 146.98333740218,-19.162902832030994 146.9897305756577,-19.169398886379327 146.9953465391928,-19.176470749337923 147.00012376311363,-19.184040940096367 147.00400990715517,-19.192026518060516 147.0069623939101,-19.20033999156712 147.00894887531567,-19.208890276460735 147.00994758706597,-19.217583694030793 147.00994758706597,-19.2263249973752 147.00894887531567,-19.235018414945273 147.0069623939101,-19.24356869983886 147.00400990715517,-19.25188217334545 147.00012376311363,-19.259867751309628 146.9953465391928,-19.26743794206807 146.9897305756577,-19.274509805026682 146.98333740218,-19.281005859375 146.9762370637062,-19.28685493298221 146.96850735303047,-19.291992942173863 146.9602329584805,-19.296363593846053 146.95150453605447,-19.29991900222447 146.9424177161751,-19.302620213510878 146.9330720559425,-19.304437632669163 146.9235699483658,-19.3053513476747 146.91401550052421,-19.3053513476747&rft_rights=Creative Commons Attribution 3.0 Australia License http://creativecommons.org/licenses/by/3.0/au/&rft_subject=biota&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 3.0 Australia License
http://creativecommons.org/licenses/by/3.0/au/

Access:

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Full description

The aim of the study was to obtain light and turbidity vertical profile data through the water column in Cleveland Bay over a four-day period and during maintenance dredging to use for developing an empirical spectral solar irradiance model. This dataset consists of 95 data files (spreadsheets). One file (.xlsx format) contains the spectral attenuation coefficient for downwelling light, Kd (lambda), for the 94 different vertical profiles taken within Cleveland Bay. In addition, individual raw data files from the USSIMO Hyperspectral Irradiance Sensor for each profile are provided (.csv format). Methods: Over a 4-d period (12–15 September 2016), and during a period of routine maintenance dredging, 94 light and turbidity vertical profiles were measured through the water column in Cleveland Bay using a USSIMO multispectral radiometer (In Situ Marine Optics, Perth, Australia) and IMO-NTU turbidity sensor. The USSIMO incorporates a Carl Zeiss UV/VIS miniature monolithic spectrometer module as the internal light recording device providing irradiance measurement values at nanometer spectral spacing. For each vertical profile the irradiance just-below surface incident irradiance Ed (0-, lambda) and the light attenuation coefficient Kd (lambda) were determined using the Beer-Lambert law. These data were used to calculate the wavelength specific light attenuation coefficients for downwelling light, Kd (lambda), using the relationship, E(lambda,z)=E(lambda,0) exp (-K_d (lambda),z) Where: E (lambda,z) is the spectral downwelling irradiance at depth z, and E (lambda,0) is the spectral downwelling irradiance just below the ocean’s surface. The accelerometer in the USSIMO was used to assess if the instrument was vertical and stable and the first 0.2 m of all deployments was discarded prior to calculating Kd. Kd values, along with the latitude and longitude for each station and the date and time of day the vertical profiling occurred can be found in the spreadsheet (.xlsx format). Each individual raw data file (.csv format) from the USSIMO sensor contains normalised Ed values (e.g. in-water Ed divided by above-water reference Ed), as well as the latitude and longitude for each station and the date and time of day the vertical profiling occurred. Limitations of the data: The value of NaN appears in the spreadsheet NewDataset1_ALL_Kd_DATA.xlsx for spectral attenuation coefficient for downwelling light, Kd (lambda). It describes values too low under highly turbid conditions to reliably calculate the Kd value. Format: This dataset contains a single Excel file with a size of 46 KB and 94 csv files ranging in size from 11 to 202 KB. Data Dictionary: Spreadsheet NewDataset1_ALL_Kd_DATA.xlsx Row headings include: Date, Local Time, Latitude, Longitude, Station ID, vertically averaged Kd (550 nm). The heading lambda(nm) [in cell A7] is noting that 400 to 700 below are wavelengths in nanometres (nm). Data Location: This dataset is filed in the eAtlas enduring data repository at: data
esp2\2.1.9-Dredging-marine-response

Issued: 14 11 2019

Data time period: 2016-09-12 to 2016-09-15

This dataset is part of a larger collection

Click to explore relationships graph

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146.91879272445,-19.221954345703

Subjects
biota |

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Other Information
NESP TWQ Project page

url : https://nesptropical.edu.au/index.php/round-2-projects/project-2-1-9/

eAtlas Web Mapping Service (WMS) (AIMS)

url : https://eatlas.org.au/data/uuid/71127e4d-9f14-4c57-9845-1dce0b541d8d

Project web site

url : https://eatlas.org.au/nesp-twq-2/risk-assessing-dredging-activities-2-1-9

CSV files (94) + excel spreadsheet (1) + image + Metadata [Zip 1.54 MB]

url : https://nextcloud.eatlas.org.au/apps/sharealias/a/qld-nesp-twq-2-1-9-aims-dredging-marine-response-dataset1-vertical-light-profiling-20191025

global : f17a57c2-c7b2-4e06-92c6-ef7010417a18

ror : 03x57gn41

ror : 03x57gn41

ror : 03x57gn41

NESP TWQ Project 2.1.9 - Risk assessing dredging activities, 2016-2018 (AIMS)

raid : 10.82210/130209cd

Identifiers
  • global : 274ef866-9cba-4c1c-92b8-05ba1b3e165d
ACN 633 798 857