Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add machine learning model for downscaling module #296

Merged
merged 7 commits into from
Sep 4, 2024

Conversation

leelew
Copy link
Contributor

@leelew leelew commented Aug 30, 2024

  1. Use MPI to couple machine learning model with CoLM for precipitation downscaling.
  2. Fix bug of aggregating topographic factors (change aspect from deg to rad).
  3. Fix bug of precipitation downscaling method II (change the unit of $\chi$ from $m^{-1}$ to $km^{-1}$.
  4. Remove boundary constraint of Cosine zenith angle.

leelew and others added 7 commits August 30, 2024 16:57
1. Use MPI to couple machine learning model with CoLM for precipitation downscaling.
2. Fix bug of aggregating topographic factors (change aspect from deg to rad).
3. Fix bug of precipitation downscaling method II (change the unit of $\chi$ from $m^{-1}$ to $km^{-1}$).
4. Remove boundary constraint of Cosine zenith angle.

Co-Authored-By: Chen Sisi <[email protected]>
1. Add USESplitAI to split process for Python and Fortran (must use GNU compiler)

Co-Authored-By: Chen Sisi <[email protected]>
1. Define switch of ML-CoLM.
2. Debug for calculation of shadow factor.

Co-Authored-By: Chen Sisi <[email protected]>
1. Cannot use ML-based precipitation downscaling for single point simulation.
2. Constrain the upper boundary of sun zenith angle.
@CoLM-SYSU CoLM-SYSU merged commit e7d665d into CoLM-SYSU:master Sep 4, 2024
24 checks passed
xuxh1 pushed a commit to xuxh1/CoLM202X that referenced this pull request Oct 26, 2024
Add machine learning model for downscaling module
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants