Airborne IPDA Lidar Measurements: Factors in Optimizing Measurement Sensitivity and Precision

摘要

The JPL CO2LAS airborne instrument is an IPDA lidar with a coherent detection receiver that is used for atmospheric CO2 measurements. Since the objective is high accuracy retrievals of column CO2, dealing with environmental variables, along with speckle-induced fluctuations, is a major consideration. Surface reflectance is an inherent data product, hi fact it is an essential dataset used in the algorithm for high accuracy retrieval of the CO2 column abundances. We discuss the use of surface reflectance and elevation datasets for tuning the differential absorption retrieval algorithm to optimize sensitivity to CO2 sources and sinks of various spatial scales. Extensions to measurement of other atmospheric constituents are included.