科学网博主张学文先生很早就根据熵理论在大气科学中的应用提出了熵气象学的概念并进行了体系性的探讨，出版了专著《熵气象学》（张学文、马力，1992，气象出版社）。 然而，《熵气象学》与张先生的《组成论》等原创作品似乎仅是张先生的自弹自唱，并未引起行内人士的足够重视、令人有空谷足音之叹。 美国德州农工大学教授、国际水文学重量级人物辛格（Vijay P. Singh）先生也一直在探讨熵信息理论在水文学中的应用，并撰有专著《Entropy-Based Parameter Estimation in Hydrology》等多篇文献。 在国内水文学界，对于熵信息理论在水文学中的研究与应用呈持续上升、方兴未艾之势。最近，一本国产的著作《信息熵理论在水系统中的研究与应用》（王栋等，中国水利水电出版社，2012）业已出版。 附1：张学文先生熵气象学有关页面： http://zxw.xjxnw.com/ 熵气象学和它的电子版 张学文 2007.02.24 1992年气象出版社出版的《熵气象学》一书的著者是张学文、马力，国际书号是7-5029-1047-6/P.0521，售价5.4元，14.4万字，7章，32开本，印量850册，为国家自然科学基金资助项目。 该书出版后不久既脱销，2007年我逐步把它变成电子版，供需要者下载自由阅读（引用时需要注明出处）。 该书是在1981年新疆气象工作者把物理学中的统计力学和信息论、最大熵原理应用于降水、风的分布、同一时刻的全球大气能量分布的基础上而形成的一个知识体系，它成书于1991年。 熵气象学从新角度研究气象问题，核心是揭露气象领域的各种分布函数（如不同雨量占的面积等）、借用分布与熵的联系，把最大熵原理广泛地用于说明大量的气象分布问题。熵在这个研究中居纽带作用，故名为“熵气象学”。10多年来这个知识体逐步扩展它的学术影响，其范围已经超出气象领域。时间使我们相信，这个理论思路是正确的，但 其潜力远没有被充分开发 。 诚如丑纪范院士所言，它离开了原动力学框架却从统计物理和熵的非决定论角度另辟蹊径。 2007年的电子版依然采取了原书的32开本格式，以使这里的页码基本与原书一致。限于水平，我对正文采取了WORD版式。读者可以从网上下载，靠自己的WORD打开它。 电子版修订了原书个别小错误（如公式编号错了）、补了个别的字以利读者理解。应当认为它是这忠于原稿又有小改进的书稿。 有需要联系的事，可以用下面的电子信箱； zhangxw@xj.cninfo.net 附2：GOOGLE上《Entropy-Based Parameter Estimation in Hydrology》的预览页面： http://books.google.com.hk/books?id=fjR3BDecQYsCprintsec=frontcoverhl=zh-CN#v=onepageqf=false 附3：开放获取的电子杂志《熵》： Entropy — Open Access Journal http://www.mdpi.com/journal/entropy 附4：开放电子杂志《熵》“熵在水文学中的应用”2014专卷征稿启事： Special Issue Entropy in Hydrology Quicklinks Special Issue Editors Special Issue Information Published Papers A special issue of Entropy (ISSN 1099-4300). Deadline for manuscript submissions: 20 January 2014 Special Issue Editor Guest Editor Dr. Nathaniel A. Brunsell Department of Geography，University of Kansas, Lawrence, KS 66045, USA Website: http://www.dept.ku.edu/~biomet E-Mail: brunsell@ku.edu Phone: +1 785 864 2021 Interests: information theory; maximum entropy production; scale; mutual information; land atmosphere interactions Special Issue Information Dear Colleagues, The hydrological system is inherently complex and exhibits variability across a range of temporal and spatial scales. Understanding and predicting this variability is essential for assessing future changes in response to such changes as climate and anthropogenic land cover. Entropy and associated methods may help to understand the range of variability of the hydrological system and the scales at which system organization occurs. In addition, understanding the propagation of uncertainty across scales, model-data comparisons and other relevant aspects of the application of entropy is of interest. These may include both thermodynamic as well as information theoretic applications of entropy to the hydrological sciences. Key areas of interest include hydrological applications of: Maximum entropy production Extremum principles in hydrology Information theory metrics: Shannon entropy, mutual Information, transfer entropy, etc. Using entropy to assess scale issues Entropy applications to model-data comparisons, particularly across scales We seek to highlight the application of entropy techniques to the hydrological sciences and welcome your contributions to the special issue. Dr. Nathaniel Brunsell Guest Editor Submission Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website . Once you are registered, click here to go to the submission form . Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed Open Access monthly journal published by MDPI . Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs).
标签: 熵气象学
