PyAOS：大气和海洋科学Python社区

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PyAOS(Python for Atmosphere and Ocean Science)是面向大气和海洋科学的Python社区，由Damien Irving博士创建维护，旨在为大气和海洋科学领域的科研人员提供相关的Python资源。

PyAOS网站总结了大气和海洋科学领域所使用的Python工具，以及工作流，包括所涉及到的核心库、高级工具库等，比如 xarray、MetPy、Iris、eofs、PyART、pandas、Dask等。

PyAOS工具栈

PyAOS社区对大气和海洋科学领域常用的工具进行了总结：

通用工具

• GeoCAT-comp (GeoCAT project) Computational routines from the NCAR Command Language (NCL).
• PyFerret (PMEL) Quick exploration of oceanographic data.
• eofs (Andrew Dawson) EOF analysis of spatial-temporal data.
• windspharm (Andrew Dawson) Computations on global wind fields in spherical geometry.
• cf-xarray (Deepak Cherian) Lightweight accessor for xarray objects that interprets CF attributes.
• Siphon (UniData) Utilities for downloading data from remote data services.
• regionmask (Mathias Hauser) Masks for commonly used geographic regions (Giorgi, SREX, etc)

可视化

• Cartopy (SciTools project) Geographic map projections for plotting.
• geoviews (HoloViz project) Interactive exploration and visualisation of geographical, meteorological, and oceanographic datasets.
• cmocean (Kristen Thyng) Beautiful colormaps for oceanography.

气象学

• MetPy (UniData) Tools for reading, visualising and performing calculations with weather data.
• Satpy (PyTroll community) Reading, manipulating, and writing data from remote-sensing earth-observing meteorological satellite instruments.
• Py-ART (ARM User Facility) Weather radar algorithms and utilities.
• ACT (ARM User Facility) Toolkit for working with atmospheric time-series datasets of varying dimensions.
• PyDSD (Joseph Hardin and Nick Guy) Utilities for working with disdrometer data.
• pyPI (Daniel Gilford) Tropical cyclone potential intensity calculations.

海洋学

• GSW-Python Python implementation of the Thermodynamic Equation of Seawater 2010 (TEOS-10).
• argopy (Guillaume Maze) Argo data access, visualisation and manipulation.
• mixsea (Jesse Cusack & Gunnar Voet) Turbulence parameter estimation from fine scale oceanographic data.

气候

• climpred (Riley Brady and Aaron Spring) Verification of weather and climate forecasts.
• climtas (Scott Wales) Climtas is a package for working with large climate analyses. It focuses on the time domain with custom functions for Xarray and Dask data.
• climate-indices (James Adams) Various climate index algorithms relating to precipitation and temperature.

Regridding

• xESMF (Jiawei Zhuang) Universal regridder for geospatial data.
• gridded (NOAA-ORR-ERD) A single way to work with results from any hydrodynamic/oceanographic model regardless of what type of grid it was computed on.
• pyResample (PyTroll community) Resampling geospatial image data.
• ESMPy Interface to the Earth System Modeling Framework (ESMF) regridding utility.
• pyproj Interface to PROJ (cartographic projections and coordinate transformations library).

模式

• wrf-python (GeoCAT project) A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
• climlab (Brian Rose) Process-oriented climate modeling.
• climt (Joy Monteiro et al) Climate modelling and diagnostics toolkit.
• pyrcel (Daniel Rothenberg) Adiabatic cloud parcel model for studying aerosol activation.
• PyCLES (Kyle Pressel and Colleen Kaul) Atmospheric large eddy simulation infrastructure designed to simulate boundary layer clouds and deep convection.

工作流管理

• aospy (Spencer Hill) Automated climate data analysis and management.
• cmdline-provenance (Damien Irving) For keeping track of your data processing steps.

除了对上述工具的总结，PyAOS网站还推荐了一些大气和海洋科学领域的教程和书籍，感兴趣的可以点击 阅读原文 查看。