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 |