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| NCAR joins international field campaign to study extreme rainfall in Pacific 新闻 来源平台:National Center of Atmospheric Research. 发布日期:2022 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:12/0  |  提交时间:2022/06/24 |
| WHOI-led team awarded $7.6M to support Gulf of Mexico Loop Current research 新闻 来源平台:Woods Hole Oceanographic Institution. 发布日期:2022 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:11/0  |  提交时间:2022/06/24 |
| Better forecasts, enhanced national security 新闻 来源平台:National Center of Atmospheric Research. 发布日期:2021 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:15/0  |  提交时间:2022/01/14 |
| NCAR scientists recruiting the public to help ground-truth hurricane risk app 新闻 来源平台:National Center of Atmospheric Research. 发布日期:2021 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:15/0  |  提交时间:2021/11/15 |
| A neural network improves forecasts for severe storm hazards 新闻 来源平台:National Center of Atmospheric Research. 发布日期:2021 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:4/0  |  提交时间:2021/06/07 |
| Enabling simple assessment of the impact of observation data on weather forecast, andclarifying the contribution of Arctic observation data to improve seven-day North American weather forecast 新闻 来源平台:Japan Agency for Marine-Earth Science and Technology. 发布日期:2021 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:10/0  |  提交时间:2021/05/13 |
| NOAA Forecasts Larger than Average ‘Dead Zone’ for Gulf of Mexico 新闻 来源平台:National Centers for Coastal Ocean Science. 发布日期:2020 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:0/0  |  提交时间:2020/06/04 |
| Larger than average hypoxic area expected for Gulf of Mexico 新闻 来源平台:US Geological Survey. 发布日期:2020 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:22/0  |  提交时间:2020/06/04 |
| 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
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:9/0  |  提交时间:2020/05/13 |
| A Novel Modeling Framework for Computationally Efficient and Accurate Real-Time Ensemble Flood Forecasting With Uncertainty Quantification 期刊论文 WATER RESOURCES RESEARCH, 2020, 56 (3) 作者: Vinh Ngoc Tran; Dwelle, M. Chase; Sargsyan, Khachik; Ivanov, Valeriy Y.; Kim, Jongho
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:10/0  |  提交时间:2020/07/02 |