Contributors | Affiliation | Role |
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Najjar, Raymond | Pennsylvania State University (PSU) | Principal Investigator, Contact |
Herrmann, Maria | Pennsylvania State University (PSU) | Scientist |
York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Temperature and salinity data from 29 CTD casts during DANCE cruise HRS1414 aboard the R/V Hugh R. Sharp binned into 0.5-m depth intervals.
CTD casts were conducted using a Sea-Bird SBE-911+ during the R/V Hugh R. Sharp cruise HRS1414.
Raw CTD output was binned into 0.5-m intervals using Matlab. Raw CTD output used is available at http://www.rvdata.us/catalog/HRS1414
BCO-DMO Data Manager Processing Notes:
* added a conventional header with dataset name, PI name, version date
* modified parameter names to conform with BCO-DMO naming conventions
* Two tabular datasets from two separate files were joined to form this dataset (dance_DATASET_ctd_bin.xlsx and dance_deployment_CTD_cast_time_and_location.xlsx). One contained cast information, and one the ctd salinity and temperature data
* The data parameter format was changed to use the following number of decimal places
* matlab_datenum (all 9 decimal places available, only two were displayed in the original Excel file)
* lat/lon (4 decimal places)
* depth (one decimal place)
* temp and salin (two decimal places)
File |
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ctd_salin.csv (Comma Separated Values (.csv), 625.25 KB) MD5:62041f4cbb1d450143b16ca97aac9b0e Primary data file for dataset ID 731502 |
Parameter | Description | Units |
CTD_cast | CTD cast number | unitless |
date_string | CTD cast date and time in format "yyyy-mm-dd HH:MM" | unitless |
depth_m | Binned depth | meters |
lat | CTD cast latitude | decimal degrees |
lon | CTD cast lontitude | decimal degrees |
matlab_datenumber | CTD cast date and time in Matlab datenum format | unitless |
sal | Salinity | parts per thousand |
temp | Temperature | degrees Celsius |
Dataset-specific Instrument Name | |
Generic Instrument Name | CTD Sea-Bird SBE 911plus |
Generic Instrument Description | The Sea-Bird SBE 911 plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911 plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 plus and SBE 11 plus is called a SBE 911 plus. The SBE 9 plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 plus and SBE 4). The SBE 9 plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics |
Website | |
Platform | R/V Hugh R. Sharp |
Start Date | 2014-07-29 |
End Date | 2014-08-16 |
NSF abstract:
Deposition of atmospheric nitrogen provides reactive nitrogen species that influence primary production in nitrogen-limited regions. Although it is generally assumed that these species in precipitation contributes substantially to anthropogenic nitrogen loadings in many coastal marine systems, its biological impact remains poorly understood. Scientists from Pennsylvania State University, William & Mary College, and Old Dominion University will carry out a process-oriented field and modeling effort to test the hypothesis that deposits of wet atmospheric nitrogen (i.e., precipitation) stimulate primary productivity and accumulation of algal biomass in coastal waters following summer storms and this effect exceeds the associated biogeochemical responses to wind-induced mixing and increased stratification caused by surface freshening in oligotrophic coastal waters of the eastern United States. To attain their goal, the researchers would perform a Lagrangian field experiment during the summer months in coastal waters located between Delaware Bay and the coastal Carolinas to determine the response of surface-layer biogeochemistry and biology to precipitation events, which will be identified and intercepted using radar and satellite data. As regards the modeling effort, a 1-D upper ocean mixing model and a 1-D biogeochemical upper-ocean will be calibrated by assimilating the field data obtained a part of the study using the adjoint method. The hypothesis will be tested using sensitivity studies with the calibrated model combined with in-situ data and results from the incubation experiments. Lastly, to provide regional and historical context for the field measurements and the associated 1-D modeling, linked regional atmospheric-oceanic biogeochemical modeling will be conducted.
Broader Impacts. Results from the study would be incorporated into class lectures for graduate courses on marine policy and marine biogeochemistry. One graduate student from Pennsylvania State University, one graduate student from the College of William and Mary, and one graduate and one undergraduate student from Old Dominion University would be supported and trained as part of this project.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |