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