Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Entire DC Network
Phytoplankton Phenology In The North Atlantic: Insights From Profiling Float Measurements, Bo Yang, Emmanuel S. Boss, Nils Haëntjens, Matthew C. Long, Michael J. Behrenfeld, Rachel Eveleth, Scott C. Doney
Phytoplankton Phenology In The North Atlantic: Insights From Profiling Float Measurements, Bo Yang, Emmanuel S. Boss, Nils Haëntjens, Matthew C. Long, Michael J. Behrenfeld, Rachel Eveleth, Scott C. Doney
Marine Sciences Faculty Scholarship
There was a typographical error in Equation (1) of our article, where the first term in the denominator should be 0.022 rather than 0.22. The fully corrected equation should be: (Formula presented.). The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Factors Driving The Seasonal And Hourly Variability Of Sea-Spray Aerosol Number In The North Atlantic, Georges Saliba, Chia Li Chen, Savannah Lewis, Lynn M. Russell, Laura Helena Rivellini, Alex K.Y. Lee, Patricia K. Quinn, Timothy S. Bates, Nils Haëntjens, Emmanuel S. Boss, Lee Karp-Boss, Nicholas Baetge, Craig A. Carlson, Michael J. Behrenfeld
Factors Driving The Seasonal And Hourly Variability Of Sea-Spray Aerosol Number In The North Atlantic, Georges Saliba, Chia Li Chen, Savannah Lewis, Lynn M. Russell, Laura Helena Rivellini, Alex K.Y. Lee, Patricia K. Quinn, Timothy S. Bates, Nils Haëntjens, Emmanuel S. Boss, Lee Karp-Boss, Nicholas Baetge, Craig A. Carlson, Michael J. Behrenfeld
Marine Sciences Faculty Scholarship
Four North Atlantic Aerosol and Marine Ecosystems Study (NAAMES) field campaigns from winter 2015 through spring 2018 sampled an extensive set of oceanographic and atmospheric parameters during the annual phytoplankton bloom cycle. This unique dataset provides four seasons of open-ocean observations of wind speed, sea surface temperature (SST), seawater particle attenuation at 660 nm (cp,660, a measure of ocean particulate organic carbon), bacterial production rates, and sea-spray aerosol size distributions and number concentrations (NSSA). The NAAMES measurements show moderate to strong correlations (0.56 < R < 0.70) between NSSA and local wind speeds in the marine boundary layer on hourly timescales, but this relationship weakens in the campaign averages that represent each season, in part because of the reduction in range of wind speed by multiday averaging. NSSA correlates weakly with seawater cp,660 (R = 0.36, P << 0.01), but the correlation with cp,660, is improved (R = 0.51, P < 0.05) for periods of low wind speeds. In addition, NAAMES measurements provide observational dependence of SSA mode diameter (dm) on SST, with dm increasing to larger sizes at higher SST (R = 0.60, P << 0.01) on hourly timescales. These results imply that climate models using bimodal SSA parameterizations to wind speed rather than a single SSA mode that varies with SST may overestimate SSA number concentrations (hence cloud condensation nuclei) by a factor of 4 to 7 and may underestimate SSA scattering (hence direct radiative effects) by a factor of 2 to 5, in addition to overpredicting variability in SSA scattering from wind speed by a factor of 5.
Potential Of Argo Drifters For Estimating Biological Production Within The Water Column, Seung Hyun Son, Emmanuel Boss, Jae Hoon Noh
Potential Of Argo Drifters For Estimating Biological Production Within The Water Column, Seung Hyun Son, Emmanuel Boss, Jae Hoon Noh
Marine Sciences Faculty Scholarship
Argo drifters provide information of the vertical structure in the water column and have a potential for the improvement of understanding phytoplankton primary production and biogeochemical cycles in combination with ocean color satellite data, which can obtain the horizontal distribution of phytoplankton biomass in the surface layer. Our examples show that using Argo drifters with satellite-measured horizontal distribution of phytoplankton biomass at the sea surface allow an improved understanding of the development of the spring bloom. The other possible uses of Argo drifter are discussed.