From a23997c46773aae8b56f379a62a4498033de4e17 Mon Sep 17 00:00:00 2001 From: meetagrawal09 Date: Sun, 29 Sep 2024 11:19:13 +0530 Subject: [PATCH] added blog link --- blog/2024-08-26-gsoc-2024-wraps-up.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/blog/2024-08-26-gsoc-2024-wraps-up.md b/blog/2024-08-26-gsoc-2024-wraps-up.md index af658f9..e2bb729 100644 --- a/blog/2024-08-26-gsoc-2024-wraps-up.md +++ b/blog/2024-08-26-gsoc-2024-wraps-up.md @@ -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.