Recent Releases of https://github.com/cryogars/goshawk
https://github.com/cryogars/goshawk - GOSHAWK v1.0.5
Optical shape of grains now follow recent paper titled, "Unraveling the optical shape of snow", Alvaro Robledano 2023.
https://doi.org/10.1038/s41467-023-39671-3
- Jupyter Notebook
Published by brentwilder over 1 year ago
https://github.com/cryogars/goshawk - GOSHAWK v1.0.4
- following recommendations from Ned Bair et al. (2024), we have derived suitable background reflectance to better inform diffuse irradiance in libRadtran.
- further cleaning of the bash/SLURM scripts
- Jupyter Notebook
Published by brentwilder over 1 year ago
https://github.com/cryogars/goshawk - GOSHAWK v1.0.3
- version used in our Cryosphere manuscript
- For our paper, radiation from slopes is diffuse only (the correct way). See Picard, 2020 for a much better paper/explanation https://doi.org/10.5194/tc-14-1497-2020, 2020.
- Jupyter Notebook
Published by brentwilder over 1 year ago
https://github.com/cryogars/goshawk - GOSHAWK v1.0.3
- version used in The Cryosphere manuscript
- (citation to come)
- Jupyter Notebook
Published by brentwilder over 1 year ago
https://github.com/cryogars/goshawk - GOSHAWK v1.0.2
- Greatly speeding up k-means clustering by using Dask
- Impurities type parameter: allows for Dust (China PM-2.5 tabulated in Caponi 2017) or Soot (Bond 2006)
- Faster/better .yml files for rebuilding on Borah and similar Linux systems
- Jupyter Notebook
Published by brentwilder over 1 year ago
https://github.com/cryogars/goshawk - 24 July 2024 Updates
- Now using 30 m canopy height dataset from "Global Forest Cover Change (GFCC) Tree Cover Multi-Year Global 30m"
- Now using updated landcover map from V200 ESA WorldCover
- Now pulling average weekly ozone from S5P product. This is input into libRadtran instead of fixed 300 DU.
- Improved Dozier,2022 sky view function (includes the slope from the pixel itself). Also parallelized.
- Small usability improvements
- Missing escape function in Alex K. equation
- zonal stats/PySpark part in clustering includes arctan2 to account for aspect ranging from 0-360
- Jupyter Notebook
Published by brentwilder over 1 year ago
https://github.com/cryogars/goshawk - 2024 July 23 Updates
Updates
- Now using 30 m canopy height dataset from "Global Forest Cover Change (GFCC) Tree Cover Multi-Year Global 30m"
- Now using updated landcover map from V200 ESA WorldCover
- Improved Dozier,2022 sky view function (includes the slope from the pixel itself)
- Small usability improvements
- Missing escape function in Alex K. equation
- Jupyter Notebook
Published by brentwilder over 1 year ago
https://github.com/cryogars/goshawk - Initial Release
- Jupyter Notebook
Published by brentwilder almost 2 years ago
https://github.com/cryogars/goshawk - Initial release
This release accompanies two papers by Wilder et al. 2024.
- Jupyter Notebook
Published by brentwilder about 2 years ago