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Multimodel Future Projections of the Regional Vegetation-Climate System Over East Asia: Comparison Between Two Ensemble Approaches 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (13)
作者:  Liu, Weiguang;  Wang, Guiling;  Yu, Miao;  Chen, Haishan;  Jiang, Yelin
收藏  |  浏览/下载:14/0  |  提交时间:2020/08/18
climate change  East Asia  multimodel ensemble  vegetation-climate interactions  
Evaluation of the Consistency of ECMWF Ensemble Forecasts 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (11)
作者:  Richardson, David S.;  Cloke, Hannah L.;  Pappenberger, Florian
收藏  |  浏览/下载:9/0  |  提交时间:2020/05/13
ensemble  consistency  jumpiness  uncertainty  inconsistency  predictability  
A predictive model for seasonal pond counts in the United States Prairie Pothole Region using large-scale climate connections 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (4)
作者:  Abel, Benjamin D.;  Rajagopalan, Balaji;  Ray, Andrea J.
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/02
Prairie Pothole Region  canonical correlation analysis  predictive model  pond count  
Responses of Australian Dryland Vegetation to the 2019 Heat Wave at a Subdaily Scale 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (4)
作者:  Qiu, Bo;  Ge, Jun;  Guo, Weidong;  Pitman, Andrew J.;  Mu, Mengyuan
收藏  |  浏览/下载:5/0  |  提交时间:2020/07/02
Assessing progress towards sustainable development over space and time 期刊论文
NATURE, 2020, 577 (7788) : 74-+
作者:  Xu, Zhenci;  Chau, Sophia N.;  Chen, Xiuzhi;  Zhang, Jian;  Li, Yingjie;  Dietz, Thomas;  Wang, Jinyan;  Winkler, Julie A.;  Fan, Fan;  Huang, Baorong;  Li, Shuxin;  Wu, Shaohua;  Herzberger, Anna;  Tang, Ying;  Hong, Dequ;  Li, Yunkai;  Liu, Jianguo
收藏  |  浏览/下载:10/0  |  提交时间:2020/05/13

To address global challenges(1-4), 193 countries have committed to the 17 United Nations Sustainable Development Goals (SDGs)(5). Quantifying progress towards achieving the SDGs is essential to track global efforts towards sustainable development and guide policy development and implementation. However, systematic methods for assessing spatio-temporal progress towards achieving the SDGs are lacking. Here we develop and test systematic methods to quantify progress towards the 17 SDGs at national and subnational levels in China. Our analyses indicate that China'  s SDG Index score (an aggregate score representing the overall performance towards achieving all 17 SDGs) increased at the national level from 2000 to 2015. Every province also increased its SDG Index score over this period. There were large spatio-temporal variations across regions. For example, eastern China had a higher SDG Index score than western China in the 2000s, and southern China had a higher SDG Index score than northern China in 2015. At the national level, the scores of 13 of the 17 SDGs improved over time, but the scores of four SDGs declined. This study suggests the need to track the spatio-temporal dynamics of progress towards SDGs at the global level and in other nations.