Learning

Instrumentation for Atmospheric Measurements

Atmospheric Measurement Fundamentals → Data Processing and Uncertainty Analysis

This learning path provides a systematic introduction to the instruments used to measure atmospheric variables, from in-situ ground-based sensors to remote sensing platforms such as radar, lidar, and satellites. It covers fundamental physical principles, data quality, and calibration, ensuring learners can understand how measurements are made and how to assess their reliability.