Research wind profile models.
Project description
Wind Models
Numerical wind-profile research models and examples.
Notes:
- This repository contains a refactored and packaged implementation derived from the published code accompanying Chavas et al. (2015, JAS): https://purr.purdue.edu/publications/4066/1
- Refactoring, updates, and packaging by Aaron Spaulding.
- GPT-5.3 Codex assisted with packaging boilerplate and formatting.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
wind_models-0.1.0.tar.gz
(11.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file wind_models-0.1.0.tar.gz.
File metadata
- Download URL: wind_models-0.1.0.tar.gz
- Upload date:
- Size: 11.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0fb07430f20d001822bb918c394c2eb298ce48b1207d9cc4e9184d37ae3fd848
|
|
| MD5 |
89be93fccbf9509bf535f3e62ebebb58
|
|
| BLAKE2b-256 |
a40e841cc497104e2bc586e0274d3c6c669eec2467e9aac0cde91f6926edc387
|
File details
Details for the file wind_models-0.1.0-py3-none-any.whl.
File metadata
- Download URL: wind_models-0.1.0-py3-none-any.whl
- Upload date:
- Size: 10.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6cbb03016a96100ba7dec1a11cf71acbe2cbac5ee815c7f5953df5615839cfbc
|
|
| MD5 |
11d8062895edac48eed1ce673009c0e8
|
|
| BLAKE2b-256 |
d10cbfc3c9e156ab9652543413652505b5944749d517340c726d581cb69b6421
|
