G. B. Osterman

Comparing v11.2 OCO-2 and v11 OCO-3 X$_{CO_2}$ Retrievals With Ground-Based COCCON Measurements

Saswati Das, Mahesh Kumar Sha, Darko Dubravica, Thomas E. Taylor et autres

The Orbiting Carbon Observatory-2 and -3 (collectively termed “OCO-2/3,” hereafter) missions, together, provide precise and accurate global data records that contribute to a better understanding of the variability in atmospheric carbon dioxide (CO2). The retrieval algorithm used to process the satellite data, …

Comparing v11.2 OCO‐2 and v11 OCO‐3 XCO2 Retrievals With Ground‐Based COCCON Measurements

Saswati Das, Mahesh Kumar Sha, Darko Dubravica, Thomas E. Taylor et autres

Abstract The Orbiting Carbon Observatory‐2 and ‐3 (collectively termed “OCO‐2/3,” hereafter) missions, together, provide precise and accurate global data records that contribute to a better understanding of the variability in atmospheric carbon dioxide (CO 2 ). The retrieval algorithm used to process …

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Orbiting Carbon Observatory‐3: Preflight Spectral Calibration and Performance Evaluation

R. A. M. Lee, D. Fu, Robert Rosenberg, G. R. Keller et autres

Abstract The Orbiting Carbon Observatory‐3 (OCO‐3) payload was installed on the International Space Station (ISS) in May 2019. OCO‐3 is providing measurements to quantify the column average carbon dioxide dry air mole fraction ( X CO2 ) near the ISS ground track. …

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Predicting CO2 over European Urban Areas from Targeted Satellite Observations Using Machine Learning

Ayah F.S. Abu-Hani, Jia Chen, Vigneshkumar Balamurugan, G. B. Osterman et autres

This study presents a machine learning framework for predicting CO₂ over European urban regions at a spatiotemporal resolution of 0.02° and daily frequency, using satellite-based NO₂ observations, reanalysis meteorological variables, and vegetation indices. The approach employs OCO-2 target-mode observations, which provide high-density …

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Quantifying biases in TROPESS AIRS, CrIS, and joint AIRS+OMI tropospheric ozone products using ozonesondes

Elyse A. Pennington, G. B. Osterman, Vivienne H. Payne, Kazuyuki Miyazaki et autres

Quantifying changes in global and regional tropospheric ozone is critical for understanding global atmospheric chemistry and its impact on air quality and climate. Satellites now provide multi-decadal records of daily global ozone profiles, but previous studies have found large disagreements in satellite-based …

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Comparisons of the v11.1 Orbiting Carbon Observatory‐2 (OCO‐2) XCO2 Measurements With GGG2020 TCCON

Saswati Das, Matthäus Kiel, Joshua L. Laughner, G. B. Osterman et autres

Abstract The Orbiting Carbon Observatory 2 (OCO‐2) is NASA's first Earth observation satellite mission dedicated to studying the sources and sinks of carbon dioxide (CO2) on a global scale. The observations of reflected sunlight are inverted in a retrieval algorithm to produce …

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From Gaps to Generalization: Predicting CO2 over European Urban Areas from Targeted Satellite Observations Using Machine Learning

Ayah F.S. Abu-Hani, Jia Chen, Vigneshkumar Balamurugan, G. B. Osterman et autres

This study presents a machine learning framework to predict CO2 over European urban regions using NO2 satellite observations, reanalysis meteorological variables, and vegetation indices. The approach uses OCO-2’s target-mode observations, which provide high-density measurements, as the ground-truth. Two predictive scenarios were developed …

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Fiducial Reference Measurements for Greenhouse Gases (FRM4GHG): Validation of Satellite (Sentinel-5 Precursor, OCO-2, and GOSAT) Missions Using the COllaborative Carbon Column Observing Network (COCCON)

Mahesh Kumar Sha, Saswati Das, Matthias Frey, Darko Dubravica et autres

The COllaborative Carbon Column Observing Network has become a reliable source of high-quality ground-based remote sensing network data that provide column-averaged dry-air mole fractions of carbon dioxide (XCO2), methane (XCH4), and carbon monoxide (XCO). The fiducial reference measurements of these gases from …

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Quantifying biases in TROPESS AIRS, CrIS, and joint AIRS+OMI tropospheric ozone products using ozonesondes

Elyse A. Pennington, G. B. Osterman, Vivienne H. Payne, Kazuyuki Miyazaki et autres

Abstract. Quantifying changes in global and regional tropospheric ozone are critical for understanding global atmospheric chemistry and it's impact on air quality and climate. Satellites now provide multi-decadal records of daily global ozone profiles, but previous studies have found large disagreements in …

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Supplementary material to "Quantifying biases in TROPESS AIRS, CrIS, and joint AIRS+OMI tropospheric ozone products using ozonesondes"

Elyse A. Pennington, G. B. Osterman, Vivienne H. Payne, Kazuyuki Miyazaki et autres

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Joint spectral retrievals of ozone with Suomi NPP CrIS augmented by S5P/TROPOMI

Edward Malina, K. W. Bowman, Valentin Kantchev, Le Kuai et autres

The vertical distribution of ozone plays an important role in atmospheric chemistry, climate change, air pollution, and human health. Over the 21st century, spaceborne remote-sensing methods and instrumentation have evolved to better determine this distribution. We quantify the ability of ozone retrievals …

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Quantification and evaluation of TROPESS ozone trends

Elyse A. Pennington, Jessica L. Neu, K. W. Bowman, Kazuyuki Miyazaki et autres

We present an analysis of ozone data products retrieved from multiple satellite observations. Specifically, we highlight data from the TRopospheric Ozone and its Precursors from Earth System Sounding (TROPESS) project which is a NASA effort that provides retrievals of atmospheric ozone utilizing …

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