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config.yaml
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baseURL: http://amsimp.github.io/
languageCode: en-uk
title: AMSIMP
theme: hugo-fresh
disableKinds: ["taxonomyTerm"]
googleAnalytics: UA-131031265-2
DefaultContentLanguage: en
markup:
goldmark:
renderer:
unsafe: true
params:
description: An open-source solution which leverages machine learning to improve numerical weather prediction
navColor: blue
navbarlogo:
image: logos/amsimp.svg
link: /
font:
name: "Lato"
sizes: [400,900]
hero:
# Main hero title
title: AMSIMP
# Hero subtitle (optional)
subtitle: An open-source solution which leverages machine learning to improve numerical weather prediction
# Button text
buttontext: Get started
# Where the main hero button links to
buttonlink: "/install"
# Hero image (from static/images/___)
image: logos/amsimp.svg
# Customizable navbar. For a dropdown, add a "sublinks" list.
news:
title: AMSIMP Developer Blog is LIVE!
content: get the latest news on the developments with AMSIMP
url: /news
shell:
title: placeholder
vars:
title: PROGNOSTIC VARIABLES
features:
- title: 2 metre temperature
text: The 2 metre temperature field gives forecasters a general idea of what the temperature is now and what it will be in the future at the Earth's surface.
img: images/content_images/vars/t2m.png
alttext: Example 2 metre temperature prediction from the AMSIMP GFM.
url: https://apps.ecmwf.int/codes/grib/param-db?id=167
- title: 850 hPa air temperature
text: The second air temperature parameter is at a pressure surface of 850 hPa. The 850 hPa pressure surface is usually above the planetary boundary layer and therefore not affected by diurnal variations but provides information about broader temperature trends.
img: images/content_images/vars/t.png
alttext: Example 850 hPa air temperature prediction from the AMSIMP GFM.
url: https://apps.ecmwf.int/codes/grib/param-db/?id=130
- title: 500 hPa geopotential
text: Geopotential at 500 hPa pressure is a commonly used variable that encodes the synoptic-scale pressure distribution. It is the standard verification variable for most medium-range numerical weather prediction models.
img: images/content_images/vars/z.png
alttext: Example 500 hPa air temperature prediction from the AMSIMP GFM.
url: https://apps.ecmwf.int/codes/grib/param-db/?id=129
keyfeatures:
features:
- title: Powerful Neural Networks
text: Fast and accurate, AMSIMP's neural networks provide high quality weather forecasts and predictions.
- title: Operational Model
text: AMSIMP offers a pretrained operational model architecture. It is trained on a dataset from the past decade, ranging from the year 2009 to the year 2016.
- title: Near Real-Time NWP
text: AMSIMP offers near real-time numerical weather prediction through initialisation conditions provided by the Global Data Assimilation System.
- title: Performance
text: The core of AMSIMP is well-optimized Python code. A performance increase of 6.18 times can be expected in comparison against a physics-based model of a similar resolution.
- title: Easy to use
text: AMSIMP's high level and intuitive syntax makes it accessible for programmers and atmospheric scientists of any experience level.
- title: Open source
text: Distributed under the [GNU General Public License v3.0](https://github.com/amsimp/amsimp/blob/master/LICENSE), AMSIMP is developed [publicly on GitHub](https://github.com/amsimp/amsimp).
languages:
en:
title: AMSIMP
languageName: English
weight: 1
contentDir: content/en
navbar:
- title: Install
url: /install
- title: Documentation
url: https://docs.amsimp.com
- title: Roadmap
url: /roadmap
- title: Community
url: /community
- title: About Us
url: /about
- title: Contribute
url: /contribute
footer:
logo: footer.png
socialmediatitle: ""
socialmedia:
- link: https://github.com/amsimp/amsimp
icon: github
- link: https://twitter.com/amsimp_team
icon: twitter
quicklinks:
column1:
title: ""
links:
- text: Install
link: /install
- text: Documentation
link: https://docs.amsimp.com
- text: Roadmap
link: /roadmap
- text: GitHub organisation
link: https://github.com/amsimp
column2:
links:
- text: About us
link: /about
- text: Community
link: /community
- text: Contribute
link: /contribute
- text: Code of conduct
link: /code-of-conduct