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User Guide. 🗺 Model Tutorials. GFS # This demonstrates how to access and plot GFS data. Note: The product names are not as simple as the HRRR dataset, but we can still get GFS data. [1]: from herbie import Herbie from toolbox import EasyMap, pc from paint.standard2 import cm_tmp import matplotlib.pyplot as plt import cartopy.crs as ccrs. [2]:
- Herbie 2024.5.0.post35 documentation
🗺 Model Tutorials. GFS # This demonstrates how to access and...
- Herbie: Retrieve NWP Model Data
Herbie is a python package that downloads recent and...
- Herbie 2024.5.0.post35 documentation
- Herbie: Retrieve NWP Model Data 🏁
- Installation
- Capabilities
- Data Sources
- History
- How to Cite and Acknowledge
Herbie is a python package that downloads recent and archived numerical weather prediction (NWP) model output from different cloud archive sources. Its most popular capability is to download HRRR model data. NWP data in GRIB2 format can be read with xarray+cfgrib. Much of this data is made available through the NOAA Open Data Dissemination (NODD) Program (formerly the Big Data Program) which has made weather data more accessible than ever before.
Herbie helps you discover, download, and read data from:
•High Resolution Rapid Refresh (HRRR) | HRRR-Alaska
•Rapid Refresh (RAP)
•Global Forecast System (GFS)
•Global Ensemble Forecast System (GEFS)
The easiest way to instal Herbie and its dependencies is with Conda from conda-forge.
You may also create the provided Conda environment, environment.yml.
Alternatively, Herbie is published on PyPI and you can install it with pip, but it requires some dependencies that you will have to install yourself:
•Python 3.8 to 3.11
•cURL
•Cartopy, which requires GEOS and Proj.
•Search for model output from different data sources.
•Download full GRIB2 files.
•Download subset GRIB2 files (by grib field).
•Read data with xarray.
•Read index file with Pandas.
•Plot data with Cartopy (very early development).
Herbie downloads model data from the following sources, but can be extended to include others:
•NOMADS
•NOAA Open Data Dissemination Program (NODD) partners (i.e., AWS, Google, Azure).
•[ECMWF Open Data}(https://www.ecmwf.int/en/forecasts/datasets/open-data)Azure storage
•University of Utah CHPC Pando archive
•Local file system
During my PhD at the University of Utah, I created, at the time, the only publicly-accessible archive of HRRR data. Over 1,000 research scientists and professionals used that archive.
In the later half of 2020, the HRRR dataset from 2014 to present was made available through the NODD Program (formerly NOAA's Big Data Program). Herbie organizes and expands my original download scripts into a more coherent package with the extended ability to download data for other models from many different archive sources.
I originally released this package under the name “HRRR-B” because it only worked with the HRRR dataset; the “B” was for my first-name initial. Since then, I have added the ability to download RAP, GFS, ECMWF, GEFS, RRFS, and others with potentially more models in the future. Thus, this package was renamed Herbie, named after one of my favorite childhood movie characters.
The University of Utah MesoWest group now manages a HRRR archive in Zarr format. Maybe someday, Herbie will be able to take advantage of that archive.
If Herbie played an important role in your work, please tell me about it! Also, consider including a citation or acknowledgement in your article or product.
Suggested Citation
Suggested Acknowledgment
Thanks for using Herbie, and happy racing!
🏁 Brian
P.S. If you like Herbie, check out my other repos:
Jun 11, 2024 · 🗺 Model Tutorials. GFS # This demonstrates how to access and plot GFS data. Note: The product names are not as simple as the HRRR dataset, but we can still get GFS data. [2]: from herbie import Herbie from toolbox import EasyMap, pc from paint.standard2 import cm_tmp import matplotlib.pyplot as plt import cartopy.crs as ccrs. [3]:
May 4, 2024 · Herbie is a python package that downloads recent and archived numerical weather prediction (NWP) model output from different cloud archive sources. NWP data is distributed in GRIB2 format and can be read with xarray+cfgrib.
Herbie is a python package that downloads recent and archived numerical weather prediction (NWP) model output from different cloud archive sources. NWP data is distributed in GRIB2 format which Herbie reads using xarray+cfgrib. Herbie also provides some extra features to help visualize and extract data.
Herbie: Automatically Improving Floating Point Accuracy. Find and fix floating-point problems: sqrt(x+1) - sqrt(x) → 1/(sqrt(x+1) + sqrt(x)) Herbie detects inaccurate expressions and finds more accurate replacements. The red expression is inaccurate when x > 1 ; Herbie's replacement, in blue, is accurate for all x . Use. Web demo. Install. News.
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This was recorded on 1993 in Antonio Carlos Jobim's Free Jazz Festival at Sao Paulo, Brazil. Original recording link: https://youtu.be/CHQg2NZOTXE.
- 2 min
- 5.5K
- Turnedjazz
