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.

Sign up for GitHub

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

Jump to bottom

Added Link to Final Report #63

Merged
merged 1 commit into from
Sep 29, 2024
Merged

Added Link to Final Report #63

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion blog/2024-08-26-gsoc-2024-wraps-up.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@ This JSON schema allows for more flexible and standardized data storage of field

3. Sambhav Dixit: "Machine Learning Downscaling of PEcAn Outputs" used Convolutional Neural Networks to enable downscaling of ecosystem model output to high spatial resolution while retaining information contained in ensemble based uncertainty estimates. His final report ["Linking Earth System Modeling and Machine Learning: My GSoC Journey with PEcAn"](https://medium.com/@indosambhav/revolutionizing-climate-modeling-my-gsoc-journey-with-pecan-3232f6b18da3) is on Medium.

4. Meet Agrawal worked on "PEcAn Code Hardening by Integration Tests", a project that enhanced the reliability of PEcAn's codebase by improving integration tests.
4. Meet Agrawal worked on "PEcAn Code Hardening by Integration Tests", a project that enhanced the reliability of PEcAn's codebase by improving integration tests. His final report ["GSoC 2024 : Final Report"](https://medium.com/@meetagrawal09/google-summer-of-code-2024-final-report-f7efd59466c6) is on Medium.

These projects helped advance PEcAn's code, provided valuable experiences to both mentees and mentors. We are grateful to the participants, mentors, and everyone in the PEcAn community who continue to make the project and our GSOC experiences a success.

Loading