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Tingjun Zhang

Researcher at Lanzhou University

Publications -  204
Citations -  16310

Tingjun Zhang is an academic researcher from Lanzhou University. The author has contributed to research in topics: Permafrost & Snow. The author has an hindex of 53, co-authored 195 publications receiving 13619 citations. Previous affiliations of Tingjun Zhang include University of Alaska Fairbanks & China Meteorological Administration.

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Observational evidence of recent change in the northern high-latitude environment

TL;DR: In this paper, the authors present asynthesis of these observations, and conclude that roughly half of the pronounced recent rise in Northern Hemispherewinter temperatures reflects shifts in atmosphericcirculation. But, such changes are not consistent with anthropogenic forcing and include generally positive phases of the North Atlantic and ArcticOscillations and extratropical responses to the El-NinoSouthern Oscillation.

Observations: Changes in Snow, Ice and Frozen Ground

TL;DR: Contributing Authors: J.H. Box, D.O. Robinson, Ian Joughin, S. Smith, and D.W. Walsh.
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Influence of the seasonal snow cover on the ground thermal regime: An overview

TL;DR: In this article, the influence of seasonal snow cover on seasonally frozen ground has received relatively little attention and further study is needed, and further studies are needed to evaluate the impact of seasonal cover on the ground thermal regime.
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Statistics and characteristics of permafrost and ground-ice distribution in the Northern Hemisphere

TL;DR: In this article, the authors used the recently published digital version of the International Permafrost Association (IPA) Circum-Arctic map of permafrost and ground ice conditions (the IPA map), together with ancillary data sets of the global land cover characteristics data base and the Global Land One-kilometer Base Elevation data base, to investigate the distribution of ground ice in the Northern Hemisphere.
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Amount and timing of permafrost carbon release in response to climate warming

TL;DR: In this article, the authors use surface weather from three global climate models based on the moderate warming, A1B Intergovernmental Panel on Climate Change emissions scenario and the SiBCASA land surface model to estimate the strength and timing of the positive permafrost carbon feedback (PCF) and associated uncertainty.