Institution
Woods Hole Oceanographic Institution
Nonprofit•Falmouth, Massachusetts, United States•
About: Woods Hole Oceanographic Institution is a nonprofit organization based out in Falmouth, Massachusetts, United States. It is known for research contribution in the topics: Population & Mantle (geology). The organization has 5685 authors who have published 18396 publications receiving 1202050 citations. The organization is also known as: WHOI.
Papers published on a yearly basis
Papers
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TL;DR: Variability of the North Atlantic Oscillation and the Tropical Atlantic dominate the climate of North Atlantic sector, the underlying ocean and surrounding continents on interannual to decadal time scales as mentioned in this paper.
Abstract: Variability of the North Atlantic Oscillation and the Tropical Atlantic dominate the climate of the North Atlantic sector, the underlying ocean and surrounding continents on interannual to decadal time scales. Here we review these phenomena, their climatic impacts and our present state of understanding of their underlying cause. Copyright © 2001 Royal Meteorological Society.
971 citations
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Abstract: THE distributions of heat, salt and trace substances in the ocean thermocline depend on mixing along and across surfaces of equal density (isopycnal and diapycnal mixing, respectively). Measurements of the invasion of anthropogenic tracers, such as bomb tritium and 3He (see, for example, refs 1 and 2), have indicated that isopycnal processes dominate diapycnal mixing, and turbulence measurements have suggested that diapycnal mixing is small3,4, but it has not been possible to measure accurately the diapycnal diffusivity. Here we report such a measurement, obtained from the vertical dispersal of a patch of the inert compound SF6 released in the open ocean. The diapycnal diffusivity, averaged over hundreds of kilometres and five months, was 0.11 ± 0.02 cm2 s−1, confirming previous estimates1–4. Such a low diffusivity can support only a rather small diapycnal flux of nitrate into the euphotic zone; it justifies the neglect of diapycnal mixing in dynamic models of the thermocline25–27, and implies that heat, salt and tracers must penetrate the thermocline mostly by transport along, rather than across, density surfaces.
967 citations
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TL;DR: Using nearly 50 years of coastal survey data on >350 marine taxa, Pinsky et al. found that climate velocity was a much better predictor of patterns of change than individual species' characteristics or life histories.
Abstract: Organisms are expected to adapt or move in response to climate change, but observed distribution shifts span a wide range of directions and rates. Explanations often emphasize biological distinctions among species, but general mechanisms have been elusive. We tested an alternative hypothesis: that differences in climate velocity—the rate and direction that climate shifts across the landscape—can explain observed species shifts. We compiled a database of coastal surveys around North America from 1968 to 2011, sampling 128 million individuals across 360 marine taxa. Climate velocity explained the magnitude and direction of shifts in latitude and depth much more effectively than did species characteristics. Our results demonstrate that marine species shift at different rates and directions because they closely track the complex mosaic of local climate velocities.
964 citations
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TL;DR: In this paper, the authors argue that fluxes of ballast minerals (silicate and carbonate biominerals, and dust) determine deep-water POC fluxes, so that a mechanism-based model of the carbon flux must simultaneously predict both POC and ballast mineral fluxes.
Abstract: In simulation studies of the ocean's role in the global carbon cycle, predicting the depth-distribution for remineralization of particulate organic carbon (POC) is of particular importance. Following Sarmiento et al. (Global Biogeochemical Cycles 7 (1993) 417), most simulation models have the power-law curve of Martin et al. (Deep-Sea Research 34 (1987) 267) for this purpose. The Martin et al. curve is an empirical fit to data, most of which is from shallow floating sediment traps. Using such a fit implies that all the information necessary for prediction is contained in the carbon flux itself, so that the organic-carbon flux F OC ( z ) at any depth z can be predicted from the flux of organic carbon F OC ( z 0 ) at some near-surface depth z 0 . Here, we challenge this basic premise, arguing that fluxes of ballast minerals (silicate and carbonate biominerals, and dust) determine deep-water POC fluxes, so that a mechanism-based model of POC flux must simultaneously predict fluxes of both POC and ballast minerals. This assertion is based on the empirical observation that POC fluxes are tightly linked quantitatively to fluxes of ballast minerals in the deep ocean. Here, we develop a model structure that incorporates this observation, and fit this model to US JGOFS EqPac data. This model structure, plus the preliminary parameter estimates we have obtained, can be used to explore the implications of our model in studies of the ocean carbon cycle.
953 citations
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TL;DR: The concentrations of rare earth elements (REEs) in samples from 15 rivers, from 6 estuarine transects, and of 5 coastal seawaters are reported and have been used with literature data to examine the continuity in average REE pattern between average continental crust and the dissolved input of REE to the oceans via estuaries.
933 citations
Authors
Showing all 5752 results
Name | H-index | Papers | Citations |
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Roberto Romero | 151 | 1516 | 108321 |
Jerry M. Melillo | 134 | 383 | 68894 |
Timothy J. Mitchison | 133 | 404 | 66418 |
Xiaoou Tang | 132 | 553 | 94555 |
Jillian F. Banfield | 127 | 562 | 60687 |
Matthew Jones | 125 | 1161 | 96909 |
Rodolfo R. Llinás | 120 | 386 | 52828 |
Ronald D. Vale | 117 | 342 | 49020 |
Scott C. Doney | 111 | 406 | 59218 |
Alan G. Marshall | 107 | 1060 | 46904 |
Peter K. Smith | 107 | 855 | 49174 |
Donald E. Canfield | 105 | 298 | 43270 |
Edward F. DeLong | 102 | 262 | 42794 |
Eric A. Davidson | 101 | 281 | 45511 |
Gary G. Borisy | 101 | 248 | 38195 |