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Earth AI: From Development to Ethical Considerations
1. Introduction to Earth AI Development
Earth AI is at the forefront of addressing complex challenges in the Earth sciences. The development of Earth AI systems involves various stages, from data collection to model building and evaluation.
1.1 Data Collection and Preparation
- Multiple Sources : Data collection for Earth AI comes from diverse sources such as satellite altimetry measurements, remote sensing data, and ground observations. For example, the AirNow ground dataset and the Community Multiscale Air Quality Modeling System (CMAQ) simulation data are used in ozone prediction.
- Data Preprocessing : Once collected, data undergoes
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