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The past and future of global river ice 期刊论文
NATURE, 2020, 577 (7788) : 69-+
作者:  Yang, Xiao;  Pavelsky, Tamlin M.;  Allen, George H.
收藏  |  浏览/下载：40/0  |  提交时间：2020/05/13

More than one-third of Earth'  s landmass is drained by rivers that seasonally freeze over. Ice transforms the hydrologic(1,2), ecologic(3,4), climatic(5) and socio-economic(6-8) functions of river corridors. Although river ice extent has been shown to be declining in many regions of the world(1), the seasonality, historical change and predicted future changes in river ice extent and duration have not yet been quantified globally. Previous studies of river ice, which suggested that declines in extent and duration could be attributed to warming temperatures(9,10), were based on data from sparse locations. Furthermore, existing projections of future ice extent are based solely on the location of the 0-degrees C isotherm11. Here, using satellite observations, we show that the global extent of river ice is declining, and we project a mean decrease in seasonal ice duration of 6.10 +/- 0.08 days per 1-degrees C increase in global mean surface air temperature. We tracked the extent of river ice using over 400,000 clear-sky Landsat images spanning 1984-2018 and observed a mean decline of 2.5 percentage points globally in the past three decades. To project future changes in river ice extent, we developed an observationally calibrated and validated model, based on temperature and season, which reduced the mean bias by 87 per cent compared with the 0-degree-Celsius isotherm approach. We applied this model to future climate projections for 2080-2100: compared with 2009-2029, the average river ice duration declines by 16.7 days under Representative Concentration Pathway (RCP) 8.5, whereas under RCP 4.5 it declines on average by 7.3 days. Our results show that, globally, river ice is measurably declining and will continue to decline linearly with projected increases in surface air temperature towards the end of this century.


  
Compensating balancing demand by spatial load migration - The case of geographically distributed data centers 期刊论文
ENERGY POLICY, 2019, 132: 1130-1142
作者:  Thimmel, Markus;  Fridgen, Gilbert;  Keller, Robert;  Roevekamp, Patrick
收藏  |  浏览/下载：38/0  |  提交时间：2019/11/27
Distributed data centers  Spatial load migration  Balancing power compensation  Economic potential  Simulation-based case study  Demand response  
Is energy security a driver for economic growth? Evidence from a global sample 期刊论文
ENERGY POLICY, 2019, 129: 436-451
作者:  Le, Thai-Ha;  Canh Phuc Nguyen
收藏  |  浏览/下载：15/0  |  提交时间：2019/11/26
Energy security  Economic growth  Global sample  Panel data analysis  
Economic impacts of a linear urban park on local businesses: The case of Gyeongui Line Forest Park in Seoul 期刊论文
LANDSCAPE AND URBAN PLANNING, 2019, 181: 139-147
作者:  Park, Juhyeon;  Kim, Jeongseob
收藏  |  浏览/下载：10/0  |  提交时间：2019/04/09
Economic impacts  Actual sales data  Revitalization  Urban regeneration  Linear parks  
Ticket to spawn: Combining economic and genetic data to evaluate the effect of climate and demographic structure on spawning distribution in Atlantic cod 期刊论文
GLOBAL CHANGE BIOLOGY, 2019, 25 (1) : 134-143
作者:  Langangen, Oystein;  Farber, Leonie;  Stige, Leif C.;  Diekert, Florian K.;  Barth, Julia M., I;  Matschiner, Michael;  Berg, Paul R.;  Star, Bastiaan;  Stenseth, Nils Chr;  Jentoft, Sissel;  Durant, Joel M.
收藏  |  浏览/下载：24/0  |  提交时间：2019/04/09
climate change  demography  economic data  genetic data  size truncation  spawning distribution  
Economic growth and transport energy consumption in the Latin American and Caribbean countries 期刊论文
ENERGY POLICY, 2018, 122: 518-527
作者:  Rehermann, F.;  Pablo-Romero, M.
收藏  |  浏览/下载：14/0  |  提交时间：2019/04/09
Environmental Kuznets curve  Economic growth  Panel data  Transport  Latin America and the Caribbean  Energy  
The effect of renewable and nonrenewable electricity generation on economic growth 期刊论文
ENERGY POLICY, 2018, 112: 111-118
作者:  Atems, Bebonchu;  Hotaling, Chelsea
收藏  |  浏览/下载：10/0  |  提交时间：2019/04/09
Electricity generation  Economic growth  Dynamic panel data models  
Carbon-weighted economic development performance and driving force analysis: Evidence from China 期刊论文
ENERGY POLICY, 2017, 111
作者:  Lei, Ming;  Yin, Zihan;  Yu, Xiaowen;  Deng, Shijie
收藏  |  浏览/下载：18/0  |  提交时间：2019/04/09
Low-carbon economy  Economic development performance  Data envelopment analysis  Panel vector auto-regression  
The UK's largest UK University Fair for International Students 会议
London, United Kingdom, 会议类型: Exhibition, 2017