Earth System Science Data (ESSD) is an international, interdisciplinary journal for the publication of articles on original research data (sets), furthering the reuse of high-quality data of benefit to Earth system sciences. The editors encourage submissions on original data or data collections which...
1. "Earth System Science Data" (ESSD) - A Peer Reviewed Journal for Publication of Data [J] . D-lib magazine . 2011,第17期 机译:“地球系统科学数据”(ESSD)-同行评审的期刊,以发表数据 2. Data without Peer: Examples of Data Peer Review in the Earth Sciences [J] . D-lib magazi...
[18]Aronova, E., Baker, K.S. & Oreskes, N. Big science and big data in biology: from theInternational Geophysical Year through the International Biological Program to the Long Term Ecological Research (LTER) network, 1957 –present. Historical Studies in the Natural Sciences 40, 183–224 (...
2) earth system science 地球系统科学 1. Network platform design and development for Earth system science data sharing; 地球系统科学数据共享网络平台的设计和开发 2. The Earth System Science Partner and Suggestions on China s Development in this Field; ...
Deep leanring and process understanding for data-driven Earth system science 人类总是努力预测和了解世界,在不同的环境(如天气、疾病或金融市场)中,更好的预测能力可以在不同环境中获得了竞争优势。然而,随着时间推移,预测工具已经发生了很大的变化,从古希腊的哲学推理到非科学的中世纪方法,比如对现代科学话语的解...
the digital twin. Machine learning (and particularly deep learning) in Earth system science is now more capable of reaching the high dimensionality, complexity and nonlinearity of real-life Earth systems and is expanding the learning ability from Big Data. Progress in causal inference and ...
aare out 正在翻译,请等待...[translate] aTherapeutic Apparatus 治疗用具[translate] aAs the Nation’s Earth-observation capacity and related data holdings have grown, so has the complexity of the challenge of managing Earth observation systems effectively and taking full advantage of the data they ...
Earth observation system(EOS) is proved to be the most efficient to yield information about Earth s land, atmosphere, ice, oceans and life that is obtainable in no other way, and ensures the development of earth system science. 对地观测系统(EOS,Earth Observation System)是获取空间对地信息、促...
(2)深度学习在地球系统科学中的机遇。Deep learning opportunities in Earth system science 深度学习在计算机视觉、语音识别和控制系统等领域的有序序列建模和数据空间上下文方面取得了显著的成功,以及在物理、化学和生物学等相关科学领域取得了显著的成功。在地学问题上的应用尚处于起步阶段,但在关键问题(分类、异常检测...