Determination of XCO2 Concentrations from Airborne Lidar Measurements During ACT-America

Joel Campbell; Sandip Pal

Determination of XCO2 Concentrations from Airborne Lidar Measurements During ACT-America

Joel Campbell, Sandip Pal

Geosciences

Research output: Contribution to conference › Paper

Abstract

A model is developed to derive XCO2 concentrations from CO2 optical depth and range measurements from the airborne Multi-functional Fiber Laser Lidar (MFLL), which is an intensity-modulated continuous-wave lidar system. We first use weather data from the reanalysis of Modern-Era Retrospective analysis for Research and Applications (MERRA-2) at NASA Goddard Space Flight Center to determine atmospheric pressure, temperature, and humidity as a function of time, location and altitude. The geopotential heights given in MERRA-2 is converted into geometric heights using a gravity model. We then use a spectroscopic model, which is based on a lookup table derived from HITRAN, in combination with the weather data to determine the CO2 absorption cross section in individual atmospheric layers assuming atmospheric CO2 concentration of 400 ppm, and vertically integrate the absorption cross section to determine a model-derived CO2 optical depth. We scale the model-derived optical depth from the init

Original language	English
State	Published - Dec 10 2018

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title = "Determination of XCO2 Concentrations from Airborne Lidar Measurements During ACT-America",

abstract = "A model is developed to derive XCO2 concentrations from CO2 optical depth and range measurements from the airborne Multi-functional Fiber Laser Lidar (MFLL), which is an intensity-modulated continuous-wave lidar system. We first use weather data from the reanalysis of Modern-Era Retrospective analysis for Research and Applications (MERRA-2) at NASA Goddard Space Flight Center to determine atmospheric pressure, temperature, and humidity as a function of time, location and altitude. The geopotential heights given in MERRA-2 is converted into geometric heights using a gravity model. We then use a spectroscopic model, which is based on a lookup table derived from HITRAN, in combination with the weather data to determine the CO2 absorption cross section in individual atmospheric layers assuming atmospheric CO2 concentration of 400 ppm, and vertically integrate the absorption cross section to determine a model-derived CO2 optical depth. We scale the model-derived optical depth from the init",

author = "Joel Campbell and Sandip Pal",

year = "2018",

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AU - Campbell, Joel

AU - Pal, Sandip

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N2 - A model is developed to derive XCO2 concentrations from CO2 optical depth and range measurements from the airborne Multi-functional Fiber Laser Lidar (MFLL), which is an intensity-modulated continuous-wave lidar system. We first use weather data from the reanalysis of Modern-Era Retrospective analysis for Research and Applications (MERRA-2) at NASA Goddard Space Flight Center to determine atmospheric pressure, temperature, and humidity as a function of time, location and altitude. The geopotential heights given in MERRA-2 is converted into geometric heights using a gravity model. We then use a spectroscopic model, which is based on a lookup table derived from HITRAN, in combination with the weather data to determine the CO2 absorption cross section in individual atmospheric layers assuming atmospheric CO2 concentration of 400 ppm, and vertically integrate the absorption cross section to determine a model-derived CO2 optical depth. We scale the model-derived optical depth from the init

AB - A model is developed to derive XCO2 concentrations from CO2 optical depth and range measurements from the airborne Multi-functional Fiber Laser Lidar (MFLL), which is an intensity-modulated continuous-wave lidar system. We first use weather data from the reanalysis of Modern-Era Retrospective analysis for Research and Applications (MERRA-2) at NASA Goddard Space Flight Center to determine atmospheric pressure, temperature, and humidity as a function of time, location and altitude. The geopotential heights given in MERRA-2 is converted into geometric heights using a gravity model. We then use a spectroscopic model, which is based on a lookup table derived from HITRAN, in combination with the weather data to determine the CO2 absorption cross section in individual atmospheric layers assuming atmospheric CO2 concentration of 400 ppm, and vertically integrate the absorption cross section to determine a model-derived CO2 optical depth. We scale the model-derived optical depth from the init

M3 - Paper

ER -