Hodograph - Python for climatology, oceanograpy and atmospheric science

Hodograph
Metpy
	MetPy Mondays `#38 - Making a Hodograph : Unidata Developer's Blog
		https://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-38-making-a
			metpy.calc.get_layer
	MetPy Mondays `#39 - Colormapped Hodograph : Unidata Developer's Blog
		https://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-39-colormapped-hodograph

metpy
xarray
xarray: N-D labeled arrays and datasets in Python>Xarray was inspired by and borrows heavily from [pandas], the popular data analysis package focused on labelled tabular data.>It is particularly tailored to working with [netCDF] files, which were the source of xarray’s data model, and integrates tightly with [dask] for parallel computing.
Cartopy
conda
[** [MetPy Mondays]]`#1 - Conda Installationhttps://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-1-conda-installation`#2 - Conda Forgehttps://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-2-conda-forge
pandas
>pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.https://pandas.pydata.org/[** Tutorials]
smoothing
[** convolution of a scaled window with the signal]Smoothing of a 1D signal, 2D signal — [SciPy] Cookbook documentationhttps://scipy-cookbook.readthedocs.io/items/SignalSmooth.htmlConvolution and Filtering (astropy.convolution) — [Astropy]
NOAA CLASS system
https://www.bou.class.noaa.gov/[MetPy Mondays]`#44 - Satellite Data with CLASS Part 1https://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-44-satellite-data#GOES
MetPy Plotting
from [MetPy][** Skew T diagram] #[Skew T][Project Pythia][Skew T Diagrams https://projectpythia.org/advanced-viz-cookbook/notebooks/5-skewt.html][MetPy Mondays]
Lifted condensation level
#LCL[MetPy][MetPy Mondays]`#186 - National LCL Map Part 1 : Unidata Developer's Blog> We're going to learn how to make a map of thermodynamic parameters from observed [sounding]s on a national scale!
intersection
[Metpy][MetPy Mondays] '#189 - Finding Intersections in Data : Unidata Developer's Blog>This week we look at how to find/interpolate intersections in data, a particularly useful feature in [sounding]s and other vertical coordinate datasets.
constants
[** [MetPy]][Constants (metpy.constants) — MetPy https://unidata.github.io/MetPy/latest/api/generated/metpy.constants.html]#MetPy_Mondays[MetPy Mondays #20 - Constants : Unidata Developer's Blog https://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-20-constants]
MetPy interpolation
[Metpy][** Examples][MetPy Mondays] `#17 - Resampling Wind Barbs : Unidata Developer's Bloghttps://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-resampling-wind-barbs[wind barb]
Unidata
Unidata Python Gallery: http://unidata.github.io/python-gallery/Unidata Online Python Training: http://unidata.github.io/online-python-training/Unidata Python Workshops: https://github.com/Unidata/unidata-python-workshop
Atmospheric Science
Packages[MetPy]: a collection of tools in Python for reading, visualizing, and performing calculations with weather data[Siphon]: downloading data from remote data services[Atmospheric Community Toolkit (ACT)]: Python toolkit for working with atmospheric time-series datasets of varying dimensions
nakametpy
> このモジュールは[MetPy]の関数をNumPyで動作するように書き換えた関数のほか、観測データを扱う上で便利な関数が含まれています。気象データをNumPyでベクトル(配列)として扱うことを想定しています。https://github.com/muchojp/NakaMetPy
Color
[matplotlib colorbar][matplotlib better colormap][matplotlib handling colors][Colorcet][metpy].ctables
wind
[** Library][Metpy]calchttps://unidata.github.io/MetPy/latest/api/generated/metpy.calc.html