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Jun She

Researcher at Danish Meteorological Institute

Publications -  68
Citations -  2240

Jun She is an academic researcher from Danish Meteorological Institute. The author has contributed to research in topics: Sea surface temperature & Environmental science. The author has an hindex of 24, co-authored 58 publications receiving 1774 citations. Previous affiliations of Jun She include Shanghai Jiao Tong University & Fudan University.

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2019 novel coronavirus of pneumonia in Wuhan, China: emerging attack and management strategies

TL;DR: According to the current status, blocking transmission, isolation, protection, and alternative medication are the urgent management strategies against 2019-nCoV.
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Lung Cancer in China: Challenges and Interventions

TL;DR: A systematic review of the published data on lung cancer in China between 1990 and 2011 to analyze the incidence and mortality rates, economic burden, and risk factors of cancer and the effectiveness of interventions found that people in eastern China likely have a higher risk of developing lung cancer than those in western China.
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Copernicus Marine Service Ocean State Report

Karina von Schuckmann, +121 more
TL;DR: Sandrine Mulet, Bruno Buongiorno Nardelli, Simon Good, Andrea Pisano, Eric Greiner, Maeva Monier, Emmanuel... as discussed by the authors The Essential Variables of Ocean Temperature and Salinity
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The Copernicus Marine Environment Monitoring Service Ocean State Report

Karina von Schuckmann, +77 more
TL;DR: The Copernicus Marine Environment Monitoring Service (CMEMS) Ocean State Report (OSR) provides an annual report of the state of the global ocean and European regional seas for policy and decision-makers with the additional aim of increasing general public awareness about the status of, and changes in, the marine environment as mentioned in this paper.
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From Observation to Information and Users: The Copernicus Marine Service Perspective

Pierre Yves Le Traon, +75 more
TL;DR: An overview of CMEMS, its evolution, and how the value of in situ and satellite observations is increased through the generation of high-level products ready to be used by downstream applications and services is presented.