SCIENCE PARTY

RELATED DOCS & PUBLICATIONS

• Song, H. et al., 2012. Application of a data‐assimilation model to variability of Pacific sardine spawning and survivor habitats with ENSO in the California Current System. JGR Oceans, 117, C3, . DOI: 10.1029/2011jc007302
• Bowden, D.A. et al., 2016. Deep-sea seabed habitats: Do they support distinct mega-epifaunal communities that have different vulnerabilities to anthropogenic disturbance?. Deep Sea Research Part I: Oceanographic Research Papers, 107, , 31-47 . DOI: 10.1016/j.dsr.2015.10.011
• Asch, R.G. et al., 2013. Dynamic height: A key variable for identifying the spawning habitat of small pelagic fishes. Deep Sea Research Part I: Oceanographic Research Papers, 71, , 79-91 . DOI: 10.1016/j.dsr.2012.08.006
• Nieto, K. et al., 2014. Effect of mesoscale eddies and streamers on sardine spawning habitat and recruitment success off <scp>S</scp>outhern and central <scp>C</scp>alifornia. JGR Oceans, 119, 9, 6330-6339 . DOI: 10.1002/2014jc010251
• Putrasahan, D.A. et al., 2013. Isolating mesoscale coupled ocean–atmosphere interactions in the Kuroshio Extension region. Dynamics of Atmospheres and Oceans, 63, , 60-78 . DOI: 10.1016/j.dynatmoce.2013.04.001
• Leduc, D. et al., 2016. Limited differences among habitats in deep‐sea macro‐infaunal communities off New Zealand: implications for their vulnerability to anthropogenic disturbance. Marine Ecology, 37, 4, 845-866 . DOI: 10.1111/maec.12363
• Woolnough, S.J. et al., 2010. Modelling convective processes during the suppressed phase of a Madden–Julian oscillation: Comparing single‐column models with cloud‐resolving models. Quart J Royal Meteoro Soc, 136, 647, 333-353 . DOI: 10.1002/qj.568
• Wilson, J.M. et al., 2021. Recurrent microbial community types driven by nearshore and seasonal processes in coastal Southern California. Environmental Microbiology, 23, 6, 3225-3239 . DOI: 10.1111/1462-2920.15548

FUNDING AWARDS

• NOAA NA17RJ1231 (NOAA NA17RJ1231)
• Unidentified award from Ocean Aero