D
Deleted member 3607
Guest
Good afternoon everyone,
With the release of WRF 4.4.1 some people have been asking me if my code will be updated. I am currently waiting for another software package included in my scripts to be updated then I will update everything soon.
The bug that was fixed in v4.4.1 about needing a module for the WRFCHEM to work has a workaround which I included in the V4.4 scripts I have listed below.
Also if you are looking for a WRF-Solar install script there isn't one. This is due to the fact that all the programs needed for WRF-Solar is already included in the WRF v4.4 code. If you go to the WRF-Solar website you will find everything you need to use it once the WRF is installed. (WRF-Solar® | Research Applications Laboratory)
If anyone has any questions about the WRF or how to use or modify my codes please let me know.
I have included below my old announcement for v4.4 below.
Thank you again,
Will
________________________________________
In my previous emails, I told you about my BASH code in Ubuntu that allows the Weather Research Forecasting Model (WRF) to be self-installed with very little user input on Linux 32-bit, Linux 64-bit and MacOS. It should be noted it will also work on Window's Sub-Linux system but everything will need to be done via command line.
With the rollout of Ubuntu 22.04 (Jammy Jellyfish) there have been some compatibility issues with my code, due to GNU 11, that I have resolved with my latest update. Also, there have been newer libraries created that I have updated my code to reflect as well.
Below is a summary of all the features that the latest code that I recently updated, will include on my new github links:
The WRF install scripts will now include the latest versions of the following:
Below you will find links to the install scripts for Linux 32/64bit and MacOS.
WRF:
WRFCHEM
WRF-Hydro Coupled
GEMPAK
WRF CHEM Tools
Now for the BIG announcement.
Over the past couple of months I have been working with another meteorologist here in Texas ( https://github.com/mkr39) on building an install script for the Hurricane Weather Research Forecasting Model (HWRF) version 4.0a. That script is now completed. HWRF is another tool that helps forecasters around the world with hurricane research.
dtcenter.org
HWRF
A few things about the HWRF install script:
Please make sure to read over all the scripts to make sure you know what they are doing and comment out lines of code if needed for your specific application.
Pay attention to the GEOG files as they take up over 200GB if they are all downloaded and unpacked.
Also, the WRF-CHEM tools are around 50GB.
In total the WRF installation, with everything downloaded, takes about ~250-275GB of storage space if nothing is left out.
If you have downloaded and utilized my scripts before, please make sure to download this version and reinstall to get all the tools and processors and latest patches in the WRF code.
It has been recommended to me to have a citation included for my scripts should they be used in any research application. In the Github code there is a citation script that writes a citation in APA form. This is the format accepted by Github, if you need it in another format I can provide information for you.
As always, I write these scripts to better help the greater atmospheric community. I seek no recognition or accolades. If I can help the advancement of the global atmospheric community through this small effort then I will be happy.
I ask that you please share these scripts amongst your friends, colleagues, any email lists you manage, or newsletters. WRF is a powerful tool and it is my hope that with these scripts it will be easier for researchers to utilize.
If you like my code please feel free to star and follow it on github as well as add me on LinkedIn!
Regards,
Will Hatheway
https://www.linkedin.com/in/williamhatheway
HathewayWill - Overview
With the release of WRF 4.4.1 some people have been asking me if my code will be updated. I am currently waiting for another software package included in my scripts to be updated then I will update everything soon.
The bug that was fixed in v4.4.1 about needing a module for the WRFCHEM to work has a workaround which I included in the V4.4 scripts I have listed below.
Also if you are looking for a WRF-Solar install script there isn't one. This is due to the fact that all the programs needed for WRF-Solar is already included in the WRF v4.4 code. If you go to the WRF-Solar website you will find everything you need to use it once the WRF is installed. (WRF-Solar® | Research Applications Laboratory)
If anyone has any questions about the WRF or how to use or modify my codes please let me know.
I have included below my old announcement for v4.4 below.
Thank you again,
Will
________________________________________
In my previous emails, I told you about my BASH code in Ubuntu that allows the Weather Research Forecasting Model (WRF) to be self-installed with very little user input on Linux 32-bit, Linux 64-bit and MacOS. It should be noted it will also work on Window's Sub-Linux system but everything will need to be done via command line.
With the rollout of Ubuntu 22.04 (Jammy Jellyfish) there have been some compatibility issues with my code, due to GNU 11, that I have resolved with my latest update. Also, there have been newer libraries created that I have updated my code to reflect as well.
Below is a summary of all the features that the latest code that I recently updated, will include on my new github links:
The WRF install scripts will now include the latest versions of the following:
- Miniconda3
- NCAR Command Language (NCL) v6.6.2
- WRF-Python v1.3.4.1
- MET 10.1.2
- METPLUS 4.1.3
- OBSGRID
- WRFDA
- WRFPLUS
- RIP4
- ARWpost V3.1
- UPP 4.1
- OpenGrADS v 2.2.1
- All the latest compilers and libraries
- Zlib 1.2.12
- libpng 1.6.37
- Jasper 1.900.1
- MPICH 4.0.2
- HDF5 1.12.2
- NETCDF-C 4.9.0
- Built with NETCDF-4 Support
- NETCDF-Fortran 4.6.0
- Built with NETCDF-4 Support
- WRFCHEM-Tools
- MOZBC
- MEGAN
- WES COLDENS
- ANTHRO_EMIS
- EDGAR_HTAP
- EPA_ANTHRO_EMIS
- UBC
- Aircraft
- FINN
- WRFHYDRO Preprocessor
- Utilizing OpenGIS
- Installation Process is now in Parallel
- Uses -j to speed up process
- Except on MasOS -j is not used
- Will lead to significantly shorter install times
- Uses -j to speed up process
Below you will find links to the install scripts for Linux 32/64bit and MacOS.
WRF:
- GitHub - HathewayWill/WRF-4.4-install-script-linux-64bit: Self install tool for the Weather Research Forecasting Model (WRF), on 64bit
- GitHub - HathewayWill/WRF-4.4-install-script-linux-32bit: Self install tool for the Weather Research Forecasting Model (WRF), on 32bit
- GitHub - HathewayWill/WRF-4.4-install-script-macOS-32bit: Self install tool for the Weather Research Forecasting Model (WRF), on macOS
WRFCHEM
- GitHub - HathewayWill/WRFCHEM-4.4-install-script-linux-64bit: Self install tool for the Weather Research Forecasting Model (WRF) CHEM, on 64bit
- GitHub - HathewayWill/WRFCHEM-4.4-install-script-linux-32bit: Self install tool for the Weather Research Forecasting Model (WRF) CHEM, on 32bit
- GitHub - HathewayWill/WRFCHEM-4.4-install-macOS-32bit: Self install tool for the Weather Research Forecasting Model (WRF) CHEM, on macOS
- GitHub - HathewayWill/WRFHYDRO-Standalone-5.2-install-script-linux-32_64bit: Self install tool for the Weather Research Forecasting Model (WRF) Hydro, standalone systems on 32/64bit systems
- https://github.com/HathewayWill/WRFHYDRO-Standalone-5.2-install-script-linux-macOS
WRF-Hydro Coupled
- GitHub - HathewayWill/WRFHYDRO-Coupled-5.2-install-script-linux-64bit: Self install tool for the Weather Research Forecasting Model (WRF) Hydro, Coupled system on 64bit systems
- GitHub - HathewayWill/WRFHYDRO-Coupled-5.2-install-script-linux-32bit: Self install tool for the Weather Research Forecasting Model (WRF) Hydro, Coupled system on 32bit systems
- https://github.com/HathewayyWill/WRFHYDRO-Coupled-5.2-install-script-macOS
- GitHub - HathewayWill/MET_self_install_tools_Linux_32bit: Self install tool for DTC's Model Evaluation Tools on 32bit systems
- GitHub - HathewayWill/MET_self_install_tools_Linux_64bit: Self install tool for DTC's Model Evaluation Tools on 64bit systems
GEMPAK
WRF CHEM Tools
Now for the BIG announcement.
Over the past couple of months I have been working with another meteorologist here in Texas ( https://github.com/mkr39) on building an install script for the Hurricane Weather Research Forecasting Model (HWRF) version 4.0a. That script is now completed. HWRF is another tool that helps forecasters around the world with hurricane research.
dtcenter.org
HWRF
A few things about the HWRF install script:
- This script is a "one-click" install
- No user input is needed to configure libraries or install packages.
- Utilizes Intel compilers
- Uses different install libraries than the other WRF scripts.
- Can run cases only up to March 2021 due to changes in input data
- The model only uses Grib2 data
- Newer cases studies will have to convert NETCDF/NETCDF4 code to Grib2 data
Please make sure to read over all the scripts to make sure you know what they are doing and comment out lines of code if needed for your specific application.
Pay attention to the GEOG files as they take up over 200GB if they are all downloaded and unpacked.
Also, the WRF-CHEM tools are around 50GB.
In total the WRF installation, with everything downloaded, takes about ~250-275GB of storage space if nothing is left out.
If you have downloaded and utilized my scripts before, please make sure to download this version and reinstall to get all the tools and processors and latest patches in the WRF code.
It has been recommended to me to have a citation included for my scripts should they be used in any research application. In the Github code there is a citation script that writes a citation in APA form. This is the format accepted by Github, if you need it in another format I can provide information for you.
As always, I write these scripts to better help the greater atmospheric community. I seek no recognition or accolades. If I can help the advancement of the global atmospheric community through this small effort then I will be happy.
I ask that you please share these scripts amongst your friends, colleagues, any email lists you manage, or newsletters. WRF is a powerful tool and it is my hope that with these scripts it will be easier for researchers to utilize.
If you like my code please feel free to star and follow it on github as well as add me on LinkedIn!
Regards,
Will Hatheway
https://www.linkedin.com/in/williamhatheway
HathewayWill - Overview
