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John M. Lyman

Researcher at Pacific Marine Environmental Laboratory

Publications -  33
Citations -  2429

John M. Lyman is an academic researcher from Pacific Marine Environmental Laboratory. The author has contributed to research in topics: Ocean heat content & Argo. The author has an hindex of 18, co-authored 29 publications receiving 1807 citations. Previous affiliations of John M. Lyman include Joint Institute for Marine and Atmospheric Research & University of Hawaii at Manoa.

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Robust warming of the global upper ocean

TL;DR: XBT data constitute the majority of the in situ measurements of upper-ocean heat content from 1967 to 2002, and it is found that the uncertainty due to choice of XBT bias correction dominates among-method variability in OHCA curves during the 1993–2008 study period.
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A review of global ocean temperature observations: Implications for ocean heat content estimates and climate change

TL;DR: The evolution of ocean temperature measurement systems is presented with a focus on the development and accuracy of two critical devices in use today (expendable bathythermographs and conductivity-temperature-depth instruments used on Argo floats).
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Observed changes in top-of-the-atmosphere radiation and upper-ocean heating consistent within uncertainty

TL;DR: A revised analysis of measured changes in the net radiation imbalance at the top of the atmosphere, and the ocean heat content to a depth of 1,800m, suggests that these two sets of observations are consistent within error margins as mentioned in this paper.
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Heat stored in the Earth system: where does the energy go?

TL;DR: Von Schuckmann et al. as mentioned in this paper presented an updated assessment of ocean warming estimates as well as new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018.
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Measuring Global Ocean Heat Content to Estimate the Earth Energy Imbalance

TL;DR: In this article, the authors review the current state-of-the-art methods to estimate global OHC changes and evaluate their relevance to derive Earth's Energy Imbalance (EEI) estimate on different time scales.