当排除50 hPa和100 hPa水平时,GraphCast在剩下的1180个目标中在99.7%的目标上明显优于HRES。 本文还将GraphCast的性能与顶尖的基于ML的天气模型Pangu-Weather进行了比较,并发现GraphCast在他们提出的252个目标中有99.2%表现优于Pangu-Weather。 除了在各种变量和引导时间上对GraphCast的预测技能与HRES进行比较之外,本...
📅 2023年11月14日,Google Deepmind团队在《Science》杂志上发表了一篇名为《Learning skillful medium-range global weather forecasting》的文章。🌍 这篇文章介绍了一种革命性的天气预报方法——GraphCast。GraphCast利用机器学习技术,能够在不到一分钟的时间内预测全球范围内未来10天的数百个天气变量,并且预测的分...
GraphCast报告的目标的99.2%上超过Pangu-Weather。Pangu-Weather仅优于GraphCast的2个(总共252个)度量指标。ERA5的HRES在早期提前时间明显变差,在某些情况下,特别是对温度,针对HRES-fc0的HRES技能优于Pangu-Weather。 6. 讨论 我们显示,我们的GraphCast模型在10天预报中超过了最准确的定性操作系统ECMWF的HRES。GraphC...
下一步，DeepMind计划构建集合预报模型，以适应实际情况中天气的不确定性，进一步增强预报准确性。论文地址：https://www.science.org/doi/10.1126/science.adi2336参考链接：[1]https://deepmind.google/discover/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/[2]https://www....
Global medium-range weather forecasting is critical to decision-making across many social and economic domains. Traditional numerical weather prediction uses increased compute resources to improve forecast accuracy, but cannot directly use historical weather data to improve the underlying model. We introduce...
GraphCast: Learning skillful medium-range global weather forecasting This package contains example code to run and train GraphCast. It also provides three pretrained models: GraphCast, the high-resolution model used in the GraphCast paper (0.25 degree resolution, 37 pressure levels), trained on ERA...
GraphCast: Learning skillful medium-range global weather forecasting Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Ferran Alet, Suman Ravuri, Timo Ewalds, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Oriol Vinyals, Jacklynn...
值得一提的是，谷歌团队一方面用明确的数据表示了其模型相对于华为盘古气象大模型的压倒优势，另一方面也确认了华为盘古气象大模型的行业贡献，并且对华为盘古气象大模型用了“top competing ML-based weather model"的描述，翻译过来就是"基于机器学习的顶级气象模型"，这无疑是来自最强竞争对手的，对华为盘古气象大模型...
在预测未来 10 天世界各地天气这件事情上,AI 首次以令人信服的方法超越传统天气预报,Google DeepMind 开发天气预报系统 GraphCast 最新成果,登上 Science 杂志。 在最新研究中,GraphCast 展示优于欧洲中心天气预报中心(European Centre for Medium-Range Weather Forecasts,ECMWF)的预报表现。综合评估下,GraphCas...
详细:https://deepmind.google/discover/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/… 论文:https://science.org/doi/10.1126/science.adi2336… 代码:https://github.com/google-deepmind/graphcast