Urban XCO2_2 Gradients From a Dense Network of Solar Absorption Spectrometers and OCO‐3 Over Mexico City

Abstract

Satellite measurements of urban CO2_2 plumes offer a global approach to track CO2_2 emissions for large cities. To examine and to quantify the feasibility of space-based monitoring, an intensive measurement campaign (MERCI-CO2_2) using seven solar-tracking Fourier transform infrared (FTIR) spectrometers has been conducted over the Mexico City Metropolitan Area (MCMA) to monitor urban emissions and to evaluate Snapshot Area Map (SAM) observations from the NASA\u27s Orbiting Carbon Observatory-3 (OCO-3) mission. Once adjusted for their respective averaging kernels, we diagnosed a positive difference between OCO-3 and FTIR column measurements (1.06 ppm). Thanks to this unprecedented amount of column observations over a large city, we demonstrate that XCO2_2 gradients within OCO-3 SAMs align with the inter-calibrated FTIR measurements (mean bias of 0.3 ppm), confirming the potential to track CO2_2 emissions from space over large metropolitan areas. XCO2_2 urban-rural differences across the FTIR network, show a strong correlation with observed gradients, with Pearson\u27s correlation coefficients (R) around 0.92. The correlation is significantly lower when considering intra-urban gradients, where R drop to around 0.24. Simulated XCO2_2 enhancements (ΔXCO2_2) based on X-STILT for both FTIR and OCO-3 show relatively high correlations (R is around 0.6) using high-resolution footprints and two gridded inventories. Spatial correlations with OCO-3 improve when aggregating satellite retrievals at coarser resolutions (10 km). Our study demonstrates the capabilities of detecting urban gradients by FTIR network and OCO-3 SAM observations over MCMA, a promising result to evaluate the evolution of MCMA\u27s emissions over the coming decade

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