The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Hawaii Ocean Time-series (HOT) program: Background, rationale and field implementation
Abstract
Abstract Long-term ocean observations are needed to gain a comprehensive understanding of natural habitat variability as well as global environmental change that might arise from human activities. In 1988, a multidisciplinary deep-water oceanographic station was established at a site north of Oahu, Hawaii, with the intent of establishing a long-term ( > 20 years) data base on oceanic variability. The primary objective of the Hawaii Ocean Time-series (HOT) program is to obtain high-quality time-series measurements of selected oceanographic properties, including: water mass structure, dynamic height, currents, dissolved and particulate chemical constituents, biological processes and particulate matter fluxes. These data will be used, in part, to help achieve the goals of the World Ocean Circulation Experiment (WOCE) and the Joint Global Ocean Flux Study (JGOFS) research programs. More importantly, these data sets will be used to improve our description and understanding of ocean circulation and ocean climatology, to elucidate further the processes that govern the fluxes of carbon into and from the oceans, and to generate novel hypotheses. These are necessary prerequisites for developing a predictive capability for global environmental change.
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Citations
Cites
Climatological Atlas of the World Ocean
Levitus, S. (1983) · Eos, Transactions American Geophysical Union · doi:10.1029/eo064i049p00962-02 · Cited by 3,078
Observational Contrains on the Global Atmospheric Co 2 Budget
Tans, P. P., Fung, I. Y., & Takahashi, T. (1990) · Science · doi:10.1126/science.247.4949.1431 · Cited by 2,066
Atmospheric carbon dioxide variations at Mauna Loa Observatory, Hawaii
Keeling, C. D., Bacastow, R. B., Bainbridge, A. E., Ekdahl, C. A., Guenther, P. R., Waterman, L. S., & Chin, J. F. S. (1976) · Tellus · doi:10.1111/j.2153-3490.1976.tb00701.x · Cited by 794 · cited 2×
“Important examples include the recognition of acid rain (Hubbard Brook long-term ecological study, Vermont; Likens et al., 1977), the documentation of increasing carbon dioxide (C02) in the earth’s atmosphere (Mauna Loa Observatory, Hawaii; Keeling et al., 1976) and the description of large scale ocean-atmosphere clim…”
Background
Cited by
A multi-sensor approach for the on-orbit validation of ocean color satellite data products
Bailey, S. W., & Werdell, P. J. (2006) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.01.015 · Cited by 964
Carbon‐based primary productivity modeling with vertically resolved photoacclimation
Westberry, T., Behrenfeld, M. J., Siegel, D. A., & Boss, E. (2008) · Global Biogeochemical Cycles · doi:10.1029/2007gb003078 · Cited by 760
Effect of Phytoplankton Cell Geometry on Carbon Isotopic Fractionation
Popp, B. N., Laws, E. A., Bidigare, R. R., Dore, J. E., Hanson, K. L., & Wakeham, S. G. (1998) · Geochimica et Cosmochimica Acta · doi:10.1016/s0016-7037(97)00333-5 · Cited by 698
Production of methane and ethylene from plastic in the environment
Royer, S.-J., Ferrón, S., Wilson, S. T., & Karl, D. M. (2018) · PLOS ONE · doi:10.1371/journal.pone.0200574 · Cited by 572
Self-citationBuesseler, K. O., & Boyd, P. W. (2009) · Limnology and Oceanography · doi:10.4319/lo.2009.54.4.1210 · Cited by 508
Metadata
- Authors
- Karl, D. M., & Lukas, R.
- Venue
- Deep Sea Research Part II: Topical Studies in Oceanography
- Publisher
- Elsevier BV
- Published
- 1996-01
- Volume
- 43
- Issue
- 2-3
- Pages
- 129-156
- ISSN
- 0967-0645 (ISSN-L)
- OpenAlex
- W1981499666
- Cited by
- 525
- References
- 3
- FWCI
- 12.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- Karl, D. M., & Lukas, R. (1996). The Hawaii Ocean Time-series (HOT) program: Background, rationale and field implementation. Deep Sea Research Part II: Topical Studies in Oceanography. https://doi.org/10.1016/0967-0645(96)00005-7
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
