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Siphon
>Siphon is a collection of Python utilities for downloading data from remote data services. Much of Siphon’s current functionality focuses on access to data hosted on a THREDDS Data Server. It also prhttps://unidata.github.io/siphon/latest/
GFS
[** Examples][MetPy Mondays][MetPy Mondays #290 - Calculating and Plotting Height Changes from the GFS : Unidata Developer's Blog https://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-290-calculating-and]
MetPy Mondays
>Unidata Program Center's weekly series on using the Python programming language in the atmospheric and related sciences.https://www.unidata.ucar.edu/blogs/news/entry/metpy-mondaysListshttps://www.unidata.ucar.edu/blogs/developer/en/tags/metpymonday
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]
MetPy
>MetPy is a collection of tools in Python for reading, visualizing, and performing calculations with weather data.https://unidata.github.io/MetPy/latest/index.htmlhttps://github.com/Unidata/MetPyRelease note https://github.com/Unidata/MetPy/releases
remote data
reading remote data[Siphon][PyTROLL][** Subpages][THREDDS]
io
[CSV & text files][netcdf][HDF5][grib][remote data]
Gini
[** Examples][Plotting GINI Water Vapor Imagery (Part 2) : Unidata Developer's Blog - https://www.unidata.ucar.edu/blogs/developer/entry/plotting-gini-water-vapor-imagery1]> This is Part 2 of a series of notebooks showing how to plot GINI-formatted satellite data from a [THREDDS] server using MetPy and Siphon.
OpenClimateGIS
>OpenClimateGIS (OCGIS) is a Python package designed for geospatial manipulation, subsetting, computation, and translation of spatiotemporal datasets stored in local [NetCDF] files or files served thrhttps://www.earthsystemcog.org/projects/openclimategis/
Siphon
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
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.
matplotlib axis
SMS
[MetPy Mondays] `#147 - Making the [GFS] Text You with Twilio Part 1 : Unidata Developer's Bloghttps://www.unidata.ucar.edu/blogs/developer/entry/metpy-mondays-147-making-theTwilio - Communication APIs for SMS, Voice, Video and Authentication
cache
[MetPy Mondays][MetPy Mondays #324 - Build a Custom Local Data Cache with Python : Unidata Developer's Blog - https://www.unidata.ucar.edu/blogs/developer/entry/metpy-mondays-324-build-a]>Tired of downloading the same [sounding data] over and over? This week we show you how to build a local [cache] for NWS soundings using Python's Path library and [Siphon]! Learn how to automate your
github
[MetPy Mondays][MetPy Mondays #314 - Tips for Contributing to Open Source Projects : Unidata Developer's Blog - https://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-314-tips-for][Siphon]
sounding
[MetPy Mondays][MetPy Mondays #294 - Which Sounding Archive to Use? : Unidata Developer's Blog https://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-294-which-sounding]> The week we cover using the Siphon Python library to access sounding data from three prominent archives: Wyoming, Iowa State, and IGRA upper air soundings. The video takes viewers through a step-by-
Metpy Unit
[MetPy Mondays]`#4 - Units in MetPyhttps://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-4-units-in`#13 - [Temperature] Unitshttps://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-13-temperature-units
GOES
[MetPy Mondays] `#10 - Harvey and Irmahttps://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-monday-10-harvey-and`#11 - Plotting GOES-16 Data with Widgetshttps://www.unidata.ucar.edu/blogs/developer/en/entry/metpy-mondays-9-plotting-goes
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
MetPy Mondays
Search 108 pages
GFS
geostrophic wind
[MetPy Mondays][MetPy Mondays #297 - Calculating and Plotting Geostrophic and Ageostrophic Wind : Unidata Developer's Blog https://www.unidata.ucar.edu/blogs/developer/entry/metpy-mondays-297-calculating-and]
Herbie
https://github.com/blaylockbk/HerbieDownload numerical weather prediction GRIB2 output like [HRRR], [RAP], and [GFS], from NOAA Big Data Partners (AWS, Google, Azure) and [NOMADS]. Can subset files by grib message.
Created
6 years ago
by
Toru Miyama
Updated
5 years ago
by
Toru Miyama
Views: 63
Page rank: 10.39
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THREDDS
Siphon
MetPy Mondays
'#107 - Declarative Plotting the GFS : Unidata Developer's Blog
https://www.unidata.ucar.edu/blogs/developer/entry/metpy-mondays-107-declarative-plotting
#GFS
MetPy Mondays `#113 - Declarative Plotting Regions and Features : Unidata Developer's Blog
https://www.unidata.ucar.edu/blogs/developer/entry/metpy-mondays-113-declarative-plotting