本帖最后由 hillside 于 2017-9-22 17:48 编辑
说明：本人只是介绍，对Python语言的具体用法并不熟悉。
此前，曾介绍过免费书籍《Python语言编程艺术——面向水文学子的编程（含气象应用）》（http://bbs./forum.php?mod=viewthread&tid=51176），并介绍过《喜爱Python的国外气候学者谈为之着迷的原因》（http://bbs./forum.php?mod=viewthread&tid=19799），也写过《介绍气候数据分析工具—Climate Data Analysis Tools(python)》（http://bbs./forum.php?mod=viewthread&tid=14911）。现在介绍专注于“Python的气象气候应用”的二本英文书籍及作者网站。
第一本《A Hands-On Introduction to Using Python in the Atmospheric and Oceanic Sciences(2012)》（大气科学python的入门书）已有园友在气象介绍（http://bbs./forum.p ... ad&tid=52084&page=2）。
关于“Python的气象气候应用”的第二本英文书籍《Principles of Planetary Climat)》（）及作者网站如下：
《行星气候原理》（Principles of Planetary Climate）全书，虽然名称上没有出现“PYTHON”，但其实主要使用python作为该书配套的计算机语言。 《行星气候原理》的作者在个人网站提供了不少配套内容，有兴趣的园友可前往了解。
附1：PYTHON书籍一览表
http://nicolasfauchereau./climatecode/posts/resources/
Some books- Python for Data Analysis: From Wes McKinney (Developer of Pandas)
- Think stats: Probability and statistics for programmers, from Allen Downey, pdf available for free.
- Think complexity: Complexity science (graphs, cellular automata, agent-based models), from Allen Downey, pdf available for free.
- Python in hydrology: A book freely available in pdf, from Sat Kumar Tomer.
- Programming collective intelligence: By Toby Segaran, Good intro on (general) Machine Learning algorithms.
- Machine Learning in action: By Peter Harrington.
- Introduction to Python for Econometrics, Statistics and Numerical Analysis: Second Edition: By Kevin Sheppard, Oxford Uni.
- A Hands-On Introduction to Using Python in the Atmospheric and Oceanic Sciences: By Johnny Lin, Professor of physics and head of the Climate Research Group at North Park University.
- principles of planetary climate: by Ray Pierrehumbert. Excellent book on the physics of planetary climates, with freely downloadable python code to follow the examples given in the book.
- Effective computation in physics: by Katy Huff and Anthony Scopatz, Field Guide to Research with Python. Excellent. Code examples at https://github.com/physics-codes.
附2：PYTHON的地球科学应用模块
https://www./topical-software.html
Geosciences- CDAT: (Climate Data Analysis Tools) is a suite of tools for analysis of climate models.
- Jeff Whitaker has made a number of useful tools for atmospheric modelers, including the basemap toolkit for matplotlib, and a NumPy compatible netCDF4 interface.
- seawater is a package for computing properties of seawater (UNESCO 1981 and UNESCO 1983).
- atmqty computes atmospheric quantities on earth.
- TAPPy - Tidal Analysis Program in Python decomposes an hourly time-series of water levels into tidal compenents. It uses SciPy’s least squares optimization.
- ClimPy Hydrologic orientated library
- GIS Python Python programs and libraries for geodata processing
- SimPEG Simulation and parameter estimation in geophysics (including 3D forward modelling and inversion routines for electromagnetics, magnetotellurics, direct-current resistivity, magnetics, and gravity)
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