wrf-python | interpolation routines for use with output from the Weather | Data Visualization library

by NCAR Python Version: 1.3.4.1 License: Apache-2.0

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kandi X-RAY | wrf-python Summary

wrf-python is a Python library typically used in Analytics, Data Visualization applications. wrf-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install wrf-python' or download it from GitHub, PyPI.

A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.

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wrf-python has a low active ecosystem.

It has 351 star(s) with 137 fork(s). There are 47 watchers for this library.

It had no major release in the last 12 months.

There are 54 open issues and 102 have been closed. On average issues are closed in 226 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of wrf-python is 1.3.4.1

Quality

wrf-python has no bugs reported.

Security

wrf-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

wrf-python is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

wrf-python releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed wrf-python and discovered the below as its top functions. This is intended to give you an instant insight into wrf-python implemented functionality, and help decide if they suit your requirements.

Run FOMP .
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Return a string representing the Intel Intel version .
Return supported flags
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wrf-python Key Features

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wrf-python Examples and Code Snippets

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Community Discussions

Trending Discussions on wrf-python

Interpolating 3D WRF Data against a 2D array in python

Can conda coexist with pip?

Access to a Dataset's netCDF4.Dataset

QUESTION

Interpolating 3D WRF Data against a 2D array in python

Asked 2019-Jun-26 at 06:13

I've been working on a python script that I'm using for my WRF model research and I'm having some difficulty with interpolation routines. In my case, I'm trying to plot a specific field, however, using a sweeping pressure level across the board, especially for the lower levels (1000, 850) usually result in extreme maxima or nan values when dealing with the mountain regions as they are below the ground level.

So, my idea was to write a script that detects the pressure level of the ground (Easily done with the following):

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ANSWER

Answered 2019-Jun-26 at 06:13

There is no simple way to do this and it does involve using loops. I have my own WRF routine that linearly interpolates a 4D variable field to constant height surfaces that I specify. I trust you should be able to modify this function for pressure surfaces. I have been working though WRF data troubles myself.

Source https://stackoverflow.com/questions/45624095

QUESTION

Can conda coexist with pip?

Asked 2018-Feb-01 at 17:04

Maybe is a stupid question but I would like to install a python package that is in conda but not in pip. This is the package:

https://wrf-python.readthedocs.io/en/latest/installation.html

I don't have conda installed. My concern is that can conda coexist with pip? In other words, if I install conda and install that package, I would be able to use it with all the packages that I already have installed in pip?

thanks

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ANSWER

Answered 2018-Feb-01 at 17:04

You can do this by running

conda config --add create_default_packages pip

and pip will be installed in any new environment.

But, the whole point of conda is for it to work better than pip, so I would suggest using conda instead of pip at all times.

Source https://stackoverflow.com/questions/48567883

QUESTION

Access to a Dataset's netCDF4.Dataset

Asked 2017-Mar-09 at 17:29

After I load a netCDF4 file using the xr.open_dataset (or xr.open_mfdataset) function, is there any way to access the underlying netCDF4.Dataset objects of the xarray.Dataset?

The problem is that I want to use the wrf-python library, but it only works properly with netCDF4.Dataset objects. And I would prefer only having to touch each file once, i.e., create a xarray.Dataset or a netCDF4.Dataset.

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ANSWER

Answered 2017-Mar-09 at 17:29

This is Python, so of course it's possible to pull out this object :

Source https://stackoverflow.com/questions/42699765

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install wrf-python

You can install using 'pip install wrf-python' or download it from GitHub, PyPI.
You can use wrf-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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