Abstract
This chapter will guide you to learn the seven-step procedure of data assimilation by replicating a published study on the assimilation of observational data into the TECO model to calibrate decomposition rate parameters for multiple soil organic matter pools. We will first review the seven steps in Chapter 21 and learn how to program these steps using code examples in Python. Then we will perform three exercises to reproduce figures from an earlier paper on the study with the CarboTrain toolkit. It is recommended that you go over the source code of the three exercises in CarboTrain. You are expected to program a data assimilation algorithm with your own model or data sets after this practice.
| Original language | English |
|---|---|
| Title of host publication | Land Carbon Cycle Modeling |
| Subtitle of host publication | Matrix Approach, Data Assimilation, Ecological Forecasting, and Machine Learning, Second Edition |
| Publisher | CRC Press |
| Pages | 152-160 |
| Number of pages | 9 |
| ISBN (Electronic) | 9781040026298 |
| ISBN (Print) | 9781032698496 |
| DOIs | |
| State | Published - Jan 1 2024 |