Woods Hole Open Access Server
Not a member yet
23823 research outputs found
Sort by
Eschrichtius robustus (gray whale) - M-34260
Eschrichtius robustus (gray whale) - M-34260 - male - 12.5 m - Pelvic location - American Museum of Natural Histor
Rapid restratification of the ocean surface boundary layer during the suppressed phase of the MJO in austral spring
© The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Hsu, J.-Y., Feng, M., & Wijffels, S. Rapid restratification of the ocean surface boundary layer during the suppressed phase of the MJO in austral spring. Environmental Research Letters, 17(2), (2022): 024031, https://doi.org/10.1088/1748-9326/ac4f11.Rapid restratification of the ocean surface boundary layer in the Indonesian-Australian Basin was captured in austral spring 2018, under the conditions of low wind speed and clear sky during the suppressed phase of Madden–Julian Oscillations (MJOs). Despite sunny days, strong diurnal variations of sea surface temperature (SST) were not observed until the wind speed became extremely low, because the decreasing wind speed modulated the latent heat flux. Combined with the horizontal advection of ocean current, the reduced upward heat loss inhibited the nighttime convective mixing and facilitated the restratification of the subsurface ocean layers. The surface mixed layer was thus shoaled up to 40 m in two days. The restratified upper ocean then sustained high SSTs by trapping heat near the sea surface until the onset of the MJO convection. This restratification process might be initialized under the atmospheric downwelling conditions during the suppressed phase of MJOs. The resulted high SSTs may affect the development and trajectories of MJOs, by enhancing air-sea heat and moisture fluxes as the winds pick up. Simulating this detailed interaction between the near-surface ocean and atmospheric features of MJOs remains a challenge, but with sufficient vertical resolution and realistic initial conditions, several features of the observations can be well captured.This work is funded by the project of 'Coupled warm pool dynamics in the Indo-Pacific' under the CSHOR. CSHOR is a joint initiative between the Qingdao National Laboratory for Marine Science and Technology (QNLM), CSIRO, University of New South Wales and University of Tasmania
New opportunities and untapped scientific potential in the abyssal ocean
© The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Marlow, J., Anderson, R., Reysenbach, A.-L., Seewald, J., Shank, T., Teske, A., Wanless, V., & Soule, S. New opportunities and untapped scientific potential in the abyssal ocean. Frontiers in Marine Science, 8, (2022): 798943, https://doi.org/10.3389./fmars.2021.798943The abyssal ocean covers more than half of the Earth’s surface, yet remains understudied and underappreciated. In this Perspectives article, we mark the occasion of the Deep Submergence Vehicle Alvin’s increased depth range (from 4500 to 6500 m) to highlight the scientific potential of the abyssal seafloor. From a geologic perspective, ultra-slow spreading mid-ocean ridges, Petit Spot volcanism, transform faults, and subduction zones put the full life cycle of oceanic crust on display in the abyss, revealing constructive and destructive forces over wide ranges in time and space. Geochemically, the abyssal pressure regime influences the solubility of constituents such as silica and carbonate, and extremely high-temperature fluid-rock reactions in the shallow subsurface lead to distinctive and potentially unique geochemical profiles. Microbial residents range from low-abundance, low-energy communities on the abyssal plains to fast growing thermophiles at hydrothermal vents. Given its spatial extent and position as an intermediate zone between coastal and deep hadal settings, the abyss represents a lynchpin in global-scale processes such as nutrient and energy flux, population structure, and biogeographic diversity. Taken together, the abyssal ocean contributes critical ecosystem services while facing acute and diffuse anthropogenic threats from deep-sea mining, pollution, and climate change.We would like to thank the National Science Foundation for their support through grants NSF 2009117 and 2129431 to SAS
Morphology and features of Millepora colonies at Cabritte Horn (St.John, US Virgin Islands) from 1992-2021
Dataset: Millepora featuresThese data describe the results of surveys of coral reefs at 10 meters depth at Cabritte Horn to evaluate the abundance and features of the calcareous hydrozoan, Millepora. The data are used to explore how the sheet-tree morphology has changed over time in response to environmental conditions.
For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/875553NSF Division of Ocean Sciences (NSF OCE) OCE-201999
Tail-dependent spatial synchrony arises from nonlinear driver-response relationships
© The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Walter, J. A., Castorani, M. C. N., Bell, T. W., Sheppard, L. W., Cavanaugh, K. C., & Reuman, D. C. Tail-dependent spatial synchrony arises from nonlinear driver-response relationships. Ecology Letters, 25, (2022): 1189– 1201, https://doi.org/10.1111/ele.13991.Spatial synchrony may be tail-dependent, that is, stronger when populations are abundant than scarce, or vice-versa. Here, ‘tail-dependent’ follows from distributions having a lower tail consisting of relatively low values and an upper tail of relatively high values. We present a general theory of how the distribution and correlation structure of an environmental driver translates into tail-dependent spatial synchrony through a non-linear response, and examine empirical evidence for theoretical predictions in giant kelp along the California coastline. In sheltered areas, kelp declines synchronously (lower-tail dependence) when waves are relatively intense, because waves below a certain height do little damage to kelp. Conversely, in exposed areas, kelp is synchronised primarily by periods of calmness that cause shared recovery (upper-tail dependence). We find evidence for geographies of tail dependence in synchrony, which helps structure regional population resilience: areas where population declines are asynchronous may be more resilient to disturbance because remnant populations facilitate reestablishment.This research was supported by NSF-OCE awards 2023555, 2023523, 2140335, 2023474, and the James S McDonnell Foundation. This project used data developed through the Santa Barbara Coastal Long Term Ecological Research project, funded through NSF-OCE 1831937
d13C of Dissolved Inorganic Carbon (DIC) measured on bottle cast samples from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018
Dataset: GP15 d13C-DIC Leg 2d13C of Dissolved Inorganic Carbon (DIC) measured on bottle cast samples from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018
For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/869611NSF Division of Ocean Sciences (NSF OCE) OCE-182979
Alvin 1097 3
Alvin 1097 3The runtime for this video is 10m 37s.The items in this collection are embargoed in the system in keeping with copyright requirements. However, they are available to users upon request. Please contact the MBLWHOI Library to access the items at [email protected] of this material was supported by a Recordings at Risk grant from the Council on Library and Information Resources (CLIR). The grant program is made possible by funding from The Andrew W. Mellon Foundation. CLIR is an independent, nonprofit organization that forges strategies to enhance research, teaching, and learning environments in collaboration with libraries, cultural institutions, and communities of higher learning. To learn more, visit www.clir.org and follow CLIR on Facebook and Twitter.2200-01-0
Alvin 1112 2
The items in this collection are embargoed in the system in keeping with copyright requirements. However, they are available to users upon request. Please contact the MBLWHOI Library to access the items at [email protected] of this material was supported by a Recordings at Risk grant from the Council on Library and Information Resources (CLIR). The grant program is made possible by funding from The Andrew W. Mellon Foundation. CLIR is an independent, nonprofit organization that forges strategies to enhance research, teaching, and learning environments in collaboration with libraries, cultural institutions, and communities of higher learning. To learn more, visit www.clir.org and follow CLIR on Facebook and Twitter.Alvin 1112 22200-01-0
Surface fish dissolved metals (Ni, Mn, Pb, Ce, Y, La) from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES PMT cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018
Dataset: GP15 Surface Fish Dissolved Metals Leg 2This dataset includes concentrations of dissolved metals (Ni, Mn, Pb, Ce, Y, La) from surface fish tows conducted on Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES PMT cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018
For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/876550NSF Division of Ocean Sciences (NSF OCE) OCE-173687
Dissolved and particulate trace elements collected on cruise RR1604 (GO-SHIP transect IO9N) in the Eastern Indian Ocean from March to April 2016
Dataset: Dissolved and Particulate Trace ElementsThis dataset includes measurements of dissolved and particulate trace elements collected on cruise RR1604 (GO-SHIP transect IO9N) in the Eastern Indian Ocean from March to April 2016.
For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/767658NSF Division of Ocean Sciences (NSF OCE) OCE-155902