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| Changes in Vegetation Shaped Global Temperatures Over Last 10,000 Years 新闻 来源平台:Science Daily. 发布日期:2022 作者: admin 收藏  |  浏览/下载:5/0  |  提交时间:2022/06/24 |
| New study questions explanation for last winter’s brutal U.S. cold snap 新闻 来源平台:National Center of Atmospheric Research. 发布日期:2022 作者: admin 收藏  |  浏览/下载:10/0  |  提交时间:2022/03/17 |
| Recommendations for next generation decadal prediction systems 新闻 来源平台:European Climate Prediction system. 发布日期:2022 作者: admin 收藏  |  浏览/下载:4/0  |  提交时间:2022/01/29 |
| NCAR will collaborate on new initiative to integrate AI with climate modeling 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:8/0  |  提交时间:2021/09/14 |
| Paris Agreement targets could greatly reduce loss of ice sheets, glaciers 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:14/0  |  提交时间:2021/05/07 |
| COVID-19 lockdowns linked to pollution spikes in some cities 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:0/0  |  提交时间:2021/04/19 |
| CSU, NCAR to develop high-res global model for community use 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:9/0  |  提交时间:2020/10/12 |
| Grants will help scientists probe droughts, model fisheries 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:1/0  |  提交时间:2020/08/28 |
| 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:5/0  |  提交时间:2020/08/24 |
| An Evaluation of the Large-Scale Atmospheric Circulation and Its Variability in CESM2 and Other CMIP Models 期刊论文 JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (13) 作者: Simpson, Isla R.; Bacmeister, Julio; Neale, Richard B.; Hannay, Cecile; Gettelman, Andrew; Garcia, Rolando R.; Lauritzen, Peter H.; Marsh, Daniel R.; Mills, Michael J.; Medeiros, Brian; Richter, Jadwiga H. 收藏  |  浏览/下载:17/0  |  提交时间:2020/08/18 CESM2 evaluation large-scale circulation extratropical variability CMIP6 modeling |