Global climate change and contaminants—an overview of opportunities and priorities for modelling the potential implications for long-term human exposure to organic compounds in the Arctic

2011 ◽  
Vol 13 (6) ◽  
pp. 1532 ◽  
Author(s):  
James M. Armitage ◽  
Cristina L. Quinn ◽  
Frank Wania
2019 ◽  
pp. 79-95
Author(s):  
N.E. Terentiev

Based on the latest data, paper investigates the dynamics of global climate change and its impact on economic growth in the long-term. The notion of climate risk is considered. The main directions of climate risk management policies are analyzed aimed, first, at reducing anthropogenic greenhouse gas emissions through technological innovation and structural economic shifts; secondly, at adaptation of population, territories and economic complexes to the irreparable effects of climate change. The problem of taking into account the phenomenon of climate change in the state economic policy is put in the context of the most urgent tasks of intensification of long-term socio-economic development and parrying strategic challenges to the development of Russia.


1999 ◽  
Vol 33 (1) ◽  
pp. 81-84
Author(s):  
Jinro Ukila ◽  
Moloyoshi Ikeda

The Frontier Research System for Global Change—the International Arctic Research Center (Frontier-IARC) is a research program funded by the Frontier Research System for Global Change. The program is jointly run under a cooperative agreement between the Frontier Research System for Global Change and the University of Alaska Fairbanks. The aim of the program is to understand the role of the Arctic region in global climate change. The program concentrates its research effort initially on the areas of air-sea-ice interactions, bio-geochemical processes and the ecosystem. To understand the arctic climate system in the context of global climate change, we focus on mechanisms controlling arctic-subarctic interactions, and identify three key components: the freshwater balance, the energy balance, and the large-scale atmospheric processes. Knowledge of details of these components and their interactions will be gained through long-term monitoring, process studies, and modeling; our focus will be on the latter two categories.


European View ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 156-162
Author(s):  
Romain Chuffart ◽  
Andreas Raspotnik

Dealing with climate change and developing the Arctic sustainably are often seen as both binary and contradictory sets of challenges. The EU is in a unique position in Arctic affairs: unlike non-Arctic states, it is part of and linked to the region. However, the EU is at risk of missing the opportunity to be a leader in setting standards for a coherent and sustainable approach for the region. The Arctic is often used as a symbol for global climate change and, conversely, climate change is also used as a reason for more Arctic engagement. Yet, the roots of global heating—greenhouse gas emissions—mostly originate from outside the region. This article asks whether the path towards more EU–Arctic involvement should start closer to home.


2002 ◽  
Vol 50 (5) ◽  
pp. 497-514 ◽  
Author(s):  
Jacqueline E. Huntoon ◽  
Robert K. Ridky

2013 ◽  
Vol 19 (4) ◽  
pp. 1085-1099 ◽  
Author(s):  
Mathieu Floury ◽  
Philippe Usseglio-Polatera ◽  
Martial Ferreol ◽  
Cecile Delattre ◽  
Yves Souchon

2011 ◽  
Vol 1 (32) ◽  
pp. 61 ◽  
Author(s):  
Nicolas Chini ◽  
Peter Stansby ◽  
Mike Walkden ◽  
Jim Hall ◽  
Judith Wolf ◽  
...  

Assessment of nearshore response to climatic change is an important issue for coastal management. To predict potential effects of climate change, a framework of numerical models has been implemented which enables the downscaling of global projections to an eroding coastline, based on TOMAWAC for inshore wave propagation input into SCAPE for shoreline modelling. With this framework, components of which have already been calibrated and validated, a set of consistent global climate change projections is used to estimate the future evolution of an un-engineered coastline. The response of the shoreline is sensitive to the future scenarios, underlying the need for long term large scale offshore conditions to be included in the prediction of non-stationary processes.


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