Smarter data. Faster decisions. Better results

Government teams across Australia are turning weeks of manual data work into hours of actionable knowledge Dimensions brings together grants, research, collaborators and results into a single, trusted view, giving agencies the tools to: Track program results faster Eliminate siled data workflows Support evidence-based policy Report clearly and confidently Whether informing national priorities, advising ministers…

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机器学习模拟千年气候

Fountain: AGU Advances This is an authorized translation of an Eos article. 本文是Eos文章的授权翻译. 近年来,科学家们发现,基于机器学习的天气模型可以比传统模型更快地做出天气预测,且并且到第60天时就会开始模拟出不切实际的天气. 深度学习地球系统模型(Deep Learning Earth System Model,简称DLESyM)建立在两个并行运行的神经网络上:一个模拟海洋,另一个模拟大气。在模式运行期间,对海洋状况的预测每四个模式日更新一次。由于大气条件演变得更快,对大气的预测每12个模式小时更新一次。 该模型的创建者Cresswell-Clay 等人发现,DLESyM与过去观测到的气候非常吻合,并能做出准确的短期预测。以地球当前的气候为基准,它还可以在不到12小时的计算时间内,准确模拟1000式比对计划第六阶段(CMIP6)的模型相当,甚至优于后者,CMIP6目前在计算气候研究中被广泛使用. DLESyM 模型在模拟热带气旋和印度夏季季风方面优于 CMIP6 模型。它至少与CMIP6 1000年模拟结束时(3016 年)生成的东北风暴的结构与 2018 年观测到的东北风暴非常相似. 然而,新模型和CMIP6此外,对于中期预报(即未来 15天左右的预报),DLESyM DLESyM DLESyM compliant, CMIP6 compliant (AGU Advances, https://doi.org/10.1029/2025AV0017062025) —科学撰稿人Madeline Reinsel This translation was done by wiley. 本文翻译由wiley提供。 Read this article on WeChat. 在微信上阅读本文. Text…

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The Big Battery Snowy 2 pumping hydroelectric project in Australia suffers from another cost explosion: Watts agrees with that?

Eric World essay One billion here, one billion there, you will soon be talking about real money. Snowy Hydro 2.0 indicates another cost explosion with a price of 12 billion dollars that is now considered unattainable The pumping hydroelectric project in the Kosciuszko National Park is complete at 67%, but the cost increases in the…

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Faced with the decimation of federal science, our community defends science as Never Before – The Bridge: Connecting Science and Policy

“I came today to put a face to science and what these cuts mean, and I also wanted to change the script to be called ‘scammer’ to be called a patriot. I think scientists serve their country using the skills they have.” –Dr Jennifer Moraash, June 2025 days of participating action Scientists serve communities through…

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The stability of alpha amino acids may explain their role as the protein building blocks of early life

Assembly formed by primordial peptides as observed by bright field microscopy. Credit: frenkel-pininter laboratory A new study from the Hebrew University of Jerusalem published in the Proceedings of the National Academy of Sciences sheds light on one of life’s greatest mysteries: why biology is based on a very specific set of amino acids and, in…

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