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Multi-decadal changes in phytoplankton biomass in northern temperate lakes as seen through the prism of landscape properties 期刊论文
Global Change Biology, 2022
作者:  Aleksey Paltsev;  Irena F. Creed
收藏  |  浏览/下载:9/0  |  提交时间:2022/02/16
Science Policy Insider: June 3, 2021 新闻
来源平台:National Center of Atmospheric Research. 发布日期:2021
作者:  admin
收藏  |  浏览/下载:13/0  |  提交时间:2021/06/07
Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth 科技报告
来源:European Geosciences Union. 出版年: 2021
作者:  admin
收藏  |  浏览/下载:3/0  |  提交时间:2021/03/12
New NCAR-Wyoming supercomputer to accelerate scientific discovery 新闻
来源平台:National Center of Atmospheric Research. 发布日期:2021
作者:  admin
收藏  |  浏览/下载:13/0  |  提交时间:2021/02/10
Washington Update: August 4, 2020 新闻
来源平台:National Center of Atmospheric Research. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:4/0  |  提交时间:2020/08/24
Hurricane experts available to explain storm behavior, potential impacts 新闻
来源平台:National Center of Atmospheric Research. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:8/0  |  提交时间:2020/08/24
A surprising range of climate events may be predictable years in advance 新闻
来源平台:National Center of Atmospheric Research. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:6/0  |  提交时间:2020/08/24
Skillful multiyear predictions of ocean acidification in the California Current System 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Brady, Riley X.;  Lovenduski, Nicole S.;  Yeager, Stephen G.;  Long, Matthew C.;  Lindsay, Keith
收藏  |  浏览/下载:9/0  |  提交时间:2020/05/13
Response to Comment on "Legacy nitrogen may prevent achievement of water quality goals in the Gulf of Mexico" 期刊论文
SCIENCE, 2019, 365 (6455)
作者:  Van Meter, K. J.;  Van Cappellen, P.;  Basu, N. B.
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/27
Decadal predictability without ocean dynamics 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (9) : 2177-2182
作者:  Srivastava, Abhishekh;  DelSole, Timothy
收藏  |  浏览/下载:11/0  |  提交时间:2019/11/27
decadal prediction  decadal predictability  average predictability time  CMIP