Contributors | Affiliation | Role |
---|---|---|
Najjar, Raymond | Pennsylvania State University (PSU) | Principal Investigator |
Martins, Douglas K. | Pennsylvania State University (PSU) | Scientist |
Switzer, Megan | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Total column nitrogen dioxide measured measured during DANCE cruise HRS1414 aboard the R/V Hugh R. Sharp from July to August 2014 on the offshore Mid-Atlantic Bight and northern South-Atlantic Bight between latitudes 31.60°N and 38.89°N and longitudes 71.09°W and 75.16°W. Sampling procedures and methods are found in Martins et al. 2016. Data are not cloud screened. For cloud screening use columns rms_unweighted or rms_weighted and NO2_uncert.
BCO-DMO processing notes:
-changes parameter names to BCO-DMO naming conventions
-organized under top-level file by station number
File |
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PANDORA_NO2.csv (Comma Separated Values (.csv), 648.21 KB) MD5:733a17a34459bdd36194ccaec118a755 Primary data file for dataset ID 732115 |
Parameter | Description | Units |
Station_ID | Station ID | no units |
lat | Latitude, south is negative | decimal degrees |
lon | Longitude, west is negative | decimal degrees |
Date_Time | UT date and time for center of measurement (yyyymmddThhmmssZ) | no units |
Samp_time | Total duration of measurement in seconds | seconds |
Zenith | Solar zenith angle at the center-time of the measurement in degrees | degrees |
Azimuth | Solar azimuth at the center-time of the measurement in degrees; 0=north; increases clockwise | degrees |
rms_unweighted | rms of unweighted spectral fitting residuals | no units |
rms_weighted | Normalized rms of weighted spectral fitting residuals | no units |
NO2_vert | Nitrogen dioxide vertical column amount | Dobson units |
NO2_uncert | Uncertainty of nitrogen dioxide vertical column amount | Dobson units |
NO2_dir_sun | Direct sun nitrogen dioxide air mass factor | no units |
err_index | Sum over 2^i with i being a level 2 error index | no units |
Temp | Effective temperature; 999=no effective temperature given | degrees Celsius |
Res_stray_light | Estimated average residual stray light level | percent |
Wavelength_shift | Retrieved wavelength shift | nanometers (nm) |
Filterwheel_pos | Position of filterwheel #2; 0=filterwheel not used; 1-9 are valid positions | no units |
Result_index | Fitting result index; 1 and 2=no error; >2=error | no units |
NO2_temp | Nitrogen dioxide effective temperature | degrees Kelvin (K) |
NO2_temp_uncert | Uncertainty of nitrogen dioxide effective temperature | degrees Kelvin (K) |
Dataset-specific Instrument Name | Pandora direct-sun spectrometer (Herman et al., 2009) |
Generic Instrument Name | Spectrometer |
Generic Instrument Description | A spectrometer is an optical instrument used to measure properties of light over a specific portion of the electromagnetic spectrum. |
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) |