Training materials for the MAGiC system

This repository contains notebooks that demonstrate usage of the Modeling and Analysis of Greenhouse Gases in Cropland (MAGiC) system, a cropland carbon monitoring and scenario analysis tool for California that has been built on multi-source remote sensing fused with CADWR land use maps, and simulated using the Sipnet biogeochemistry model using the PEcAn ecosystem modeling toolbox.

Each notebook presents a self-study demo to be completed asynchronously. These will then be discussed further in live training sessions.

If you have questions about any of this material, you can:

• Reach out to the author listed in the notebook
• Open an issue here
• Email Chris Black chris@poolsandfluxes.com

Topic	URL	Who for	Objectives	Notes
Environment setup	https://github.com/ccmmf/magic-training/blob/main/CARB-PEcAn-setup.md	everyone	Configure AWS and Conda	You will need this complete for all later notebooks
PEcAn demo 1: single-site ensemble	https://github.com/ccmmf/magic-training/blob/main/pecan-demo-1.md	everyone	Run a simple model using PEcAn	Uses Sipnet 1.3
PEcAn demo 2: uncertainty analysis	https://pecanproject.github.io/pecan-documentation/develop/run-demo-2.html	everyone	Adjust PEcAn settings, understand outputs	Uses Sipnet 1.3
MAGiC grass & tree ensembles	https://github.com/ccmmf/demo_sessions/blob/main/20260609/2a_grass_demo.md	MAGiC users	Run a simple MAGiC workflow
MAGiC row crop demo	https://github.com/ccmmf/workflows/blob/main/examples/3_rowcrop/README.md	MAGiC users	Run Sipnet with RS monitoring data	placeholder notebook
MAGiC downscaling demo	https://github.com/ccmmf/downscaling/blob/develop/docs/intro_to_downscaling.qmd	MAGiC users	Create carbon maps from a model ensemble
Aggregation
Monitoring Part 1: LandIQ
Monitoring Part 2: Phenology
Monitoring Part 3: Tillage + NCC + N
Monitoring Part 4: Irrigation
Monitoring Part 5: Crop Scenarios
Monitoring Part 6: All other Scenarios
Formal Training: Monitoring
Formal Training: Inventories
Formal Training: Scenario Configuration
Formal Training: Projections