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Climate economics support for the UN climate targets 期刊论文
NATURE CLIMATE CHANGE, 2020
作者:  Haensel, Martin C.;  Drupp, Moritz A.;  Johansson, Daniel J. A.;  Nesje, Frikk;  Azar, Christian;  Freeman, Mark C.;  Groom, Ben;  Sterner, Thomas
收藏  |  浏览/下载:17/0  |  提交时间:2020/07/21
Warming trends increasingly dominate global ocean 期刊论文
NATURE CLIMATE CHANGE, 2020
作者:  Johnson, Gregory C.;  Lyman, John M.
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/21
Potential for large-scale CO2 removal via enhanced rock weathering with croplands 期刊论文
NATURE, 2020, 583 (7815) : 242-+
作者:  David J. Beerling;  Euripides P. Kantzas;  Mark R. Lomas;  Peter Wade;  Rafael M. Eufrasio;  Phil Renforth;  Binoy Sarkar;  M. Grace Andrews;  Rachael H. James;  Christopher R. Pearce;  Jean-Francois Mercure;  Hector Pollitt;  Philip B. Holden;  Neil R. Edwards;  Madhu Khanna;  Lenny Koh;  Shaun Quegan;  Nick F. Pidgeon;  Ivan A. Janssens;  James Hansen;  Steven A. Banwart
收藏  |  浏览/下载:18/0  |  提交时间:2020/07/14

Enhanced silicate rock weathering (ERW), deployable with croplands, has potential use for atmospheric carbon dioxide (CO2) removal (CDR), which is now necessary to mitigate anthropogenic climate change(1). ERW also has possible co-benefits for improved food and soil security, and reduced ocean acidification(2-4). Here we use an integrated performance modelling approach to make an initial techno-economic assessment for 2050, quantifying how CDR potential and costs vary among nations in relation to business-as-usual energy policies and policies consistent with limiting future warming to 2 degrees Celsius(5). China, India, the USA and Brazil have great potential to help achieve average global CDR goals of 0.5 to 2gigatonnes of carbon dioxide (CO2) per year with extraction costs of approximately US$80-180 per tonne of CO2. These goals and costs are robust, regardless of future energy policies. Deployment within existing croplands offers opportunities to align agriculture and climate policy. However, success will depend upon overcoming political and social inertia to develop regulatory and incentive frameworks. We discuss the challenges and opportunities of ERW deployment, including the potential for excess industrial silicate materials (basalt mine overburden, concrete, and iron and steel slag) to obviate the need for new mining, as well as uncertainties in soil weathering rates and land-ocean transfer of weathered products.


  
Trading off visual disamenity for renewable energy: Willingness to pay for seaweed farming for energy production 期刊论文
ECOLOGICAL ECONOMICS, 2020, 173
作者:  Demel, Simona;  Longo, Alberto;  Mariel, Petr
收藏  |  浏览/下载:10/0  |  提交时间:2020/08/18
Choice experiment  Random parameter logit  Seaweed  Biogas  Coastline  Visual disamenity  
The appropriate use of reference scenarios in mitigation analysis 期刊论文
NATURE CLIMATE CHANGE, 2020, 10 (7) : 605-610
作者:  Grant, Neil;  Hawkes, Adam;  Napp, Tamaryn;  Gambhir, Ajay
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/06
Equity in allocating carbon dioxide removal quotas 期刊论文
NATURE CLIMATE CHANGE, 2020, 10 (7) : 640-+
作者:  Pozo, Carlos;  Galan-Martin, Angel;  Reiner, David M.;  Mac Dowell, Niall;  Guillen-Gosalbez, Gonzalo
收藏  |  浏览/下载:16/0  |  提交时间:2020/07/02
Carbon intensity of global crude oil refining and mitigation potential 期刊论文
NATURE CLIMATE CHANGE, 2020, 10 (6) : 526-+
作者:  Jing, Liang;  El-Houjeiri, Hassan M.;  Monfort, Jean-Christophe;  Brandt, Adam R.;  Masnadi, Mohammad S.;  Gordon, Deborah;  Bergerson, Joule A.
收藏  |  浏览/下载:18/0  |  提交时间:2020/06/09
Measuring and modeling energy resilience 期刊论文
ECOLOGICAL ECONOMICS, 2020, 172
作者:  Gatto, Andrea;  Drago, Carlo
收藏  |  浏览/下载:14/0  |  提交时间:2020/07/02
Energy resilience  Energy access  Energy efficiency  Renewable energy  Composite indicators  Interval-based composite indicators  
PEF plastic synthesized from industrial carbon dioxide and biowaste 期刊论文
NATURE SUSTAINABILITY, 2020
作者:  Jiang, L.;  Gonzalez-Diaz, A.;  Ling-Chin, J.;  Malik, A.;  Roskilly, A. P.;  Smallbone, A. J.
收藏  |  浏览/下载:8/0  |  提交时间:2020/06/09
Patterns and trends of Northern Hemisphere snow mass from 1980 to 2018 期刊论文
NATURE, 2020, 581 (7808) : 294-+
作者:  Ibrahim, Nizar;  Maganuco, Simone;  Dal Sasso, Cristiano;  Fabbri, Matteo;  Auditore, Marco;  Bindellini, Gabriele;  Martill, David M.;  Zouhri, Samir;  Mattarelli, Diego A.;  Unwin, David M.;  Wiemann, Jasmina;  Bonadonna, Davide;  Amane, Ayoub;  Jakubczak, Juliana;  Joger, Ulrich;  Lauder, George V.;  Pierce, Stephanie E.
收藏  |  浏览/下载:18/0  |  提交时间:2020/05/25

Warming surface temperatures have driven a substantial reduction in the extent and duration of Northern Hemisphere snow cover(1-3). These changes in snow cover affect Earth'  s climate system via the surface energy budget, and influence freshwater resources across a large proportion of the Northern Hemisphere(4-6). In contrast to snow extent, reliable quantitative knowledge on seasonal snow mass and its trend is lacking(7-9). Here we use the new GlobSnow 3.0 dataset to show that the 1980-2018 annual maximum snow mass in the Northern Hemisphere was, on average, 3,062 +/- 35 billion tonnes (gigatonnes). Our quantification is for March (the month that most closely corresponds to peak snow mass), covers non-alpine regions above 40 degrees N and, crucially, includes a bias correction based on in-field snow observations. We compare our GlobSnow 3.0 estimates with three independent estimates of snow mass, each with and without the bias correction. Across the four datasets, the bias correction decreased the range from 2,433-3,380 gigatonnes (mean 2,867) to 2,846-3,062 gigatonnes (mean 2,938)-a reduction in uncertainty from 33% to 7.4%. On the basis of our bias-corrected GlobSnow 3.0 estimates, we find different continental trends over the 39-year satellite record. For example, snow mass decreased by 46 gigatonnes per decade across North America but had a negligible trend across Eurasia  both continents exhibit high regional variability. Our results enable a better estimation of the role of seasonal snow mass in Earth'  s energy, water and carbon budgets.


Applying a bias correction to a state-of-the-art dataset covering non-alpine regions of the Northern Hemisphere and to three other datasets yields a more constrained quantification of snow mass in March from 1980 to 2018.