WRF
neural-fortran
WRF | neural-fortran | |
---|---|---|
8 | 3 | |
1,297 | 412 | |
2.5% | 0.7% | |
8.1 | 5.9 | |
1 day ago | 4 months ago | |
Fortran | Fortran | |
GNU General Public License v3.0 or later | MIT License |
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WRF
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Why hasn't there been more of an effort to create an open source network of weather stations?
WRF-ARW Modeling System is in the public domain and there is a fork called WRFg that can utilize GPU acceleration. The price of used Nvidia tesla GPUs could allow an enthusiast group to band together and thrive however that doesn't solve the sheer complexity of using the model and obtaining enough accurate data points to even run the model.
- 300M Resolution SF Forecast
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What amount of weather forecasting modelling is open source?
The NAM, RAP, and HRRR are all different smaller-scale, higher-resolution models for the US and North America based on the Weather Research and Forecasting model. These are due to eventually be replaced by the RRFS, based on the UFS Short-Range Weather Application.
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What Is the Oldest Computer Program Still in Use?
example: https://github.com/wrf-model/WRF
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Why C?
Hi, I'm going to nitpick and say that most physics modeling software is not written in C. A whole bunch of physics programs are in Fortran (like weather models) .
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GPUs open the potential to forecast urban weather for drones and air taxis
For some context, WRF (https://github.com/wrf-model/WRF) the current state-of-the-art weather modeling system (also developed by NCAR) can only run on CPU. There have been efforts to run it on GPU (https://wrfg.net)... though it doesn't look like it's been kept up to date.
It seems like FastEddy mostly replaces WRF-LES, which is used for high-resolution localized modeling.
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Does anyone know of any self hosted weather prediction software?
Most of the weather models run on supercomputers, and require a LOT of input data. Here’s one you can try if you’re so inclined. https://github.com/wrf-model/WRF
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My History in programming pt1: Meteorology
If anyone is curious, the WRF (Weather Research and Forecasting) model has a repository on GitHub.
neural-fortran
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Fortran 2023 has been published
A few more:
https://github.com/modern-fortran/neural-fortran (disclaimer, I originally created this one)
https://github.com/BerkeleyLab/inference-engine
https://git.exeter.ac.uk/hepplestone/athena
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Any help or tips for Neural Networks on Computer Clusters
check out this, it's not really a framework but good enough to start with
- PyTorch Fortran Bindings
What are some alternatives?
Full-Stack-Fortran - Fortran to WebAssembly
stdlib - Fortran Standard Library
json-fortran - A Modern Fortran JSON API
Fortran-code-on-GitHub - Directory of Fortran codes on GitHub, arranged by topic
E3SM - Energy Exascale Earth System Model source code. NOTE: use "maint" branches for your work. Head of master is not validated.
fpm - Fortran Package Manager (fpm)
fastGPT - Fast GPT-2 inference written in Fortran
llm.f90 - LLM inference in Fortran
ufs-srweather-app - UFS Short-Range Weather Application
ftl - The Fortran Template Library
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration