Preprints
https://doi.org/10.5194/egusphere-2024-3976
https://doi.org/10.5194/egusphere-2024-3976
21 Jan 2025
 | 21 Jan 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Uncertainties in OCO-2 satellite retrievals of XCO2 limit diagnosis of transport model simulation uncertainty

Chiranjit Das, Ravi Kumar Kunchala, Prabir K. Patra, Naveen Chandra, Kentaro Ishijima, and Toshinobu Machida

Abstract. Estimating regional CO2 sources and sinks is challenging due to limited data and uncertainties in transport models. Orbiting Carbon Observatory-2 (OCO-2) overcomes measurement limits, providing CO2 variations beyond in-situ networks. This study analyses altitude-wise model-observation CO2 differences from surface to upper troposphere using aircraft observations from ATom, Amazon, and CONTRAIL campaigns over OCO-2 total column CO2 (XCO2) sampling location to characterise sources of uncertainty in MIROC4-ACTM. We show model aligns better with ATom tropospheric columns (0.03 ± 0.03 ppm) than OCO-2 XCO2 (0.2 ± 0.5 ppm), especially over oceans, highlighting the need for expanded profile measurements to characterise errors robustly. Altitude-wise comparisons reveal this differences primarily occur in the lower troposphere (0–2 km), likely due to ACTM's near-surface land CO2 flux errors. In contrast, ACTM better matches aircraft CO2 in the middle (2–5 km) and upper (5–8 km) troposphere, likely due to accurate large-scale transport representation. Over the Amazon, CO2 differences with aircraft and OCO-2 differ, likely due to a lack of regional surface sites for inversion and insufficient high-altitude profile (~4 km) not representative of XCO2. Over Asian megacity airports, which are significant emission hotspots, the model shows a large negative difference with CONTRAIL than OCO-2. This discrepancy likely hints that MIROC4-ACTM is unable to capture urban fossil CO2 emission signals at airports due to coarse resolution (~2.8° x 2.8°) and higher resolution of OCO-2 limits ability to fully capture actual emission footprints.

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Chiranjit Das, Ravi Kumar Kunchala, Prabir K. Patra, Naveen Chandra, Kentaro Ishijima, and Toshinobu Machida

Status: open (until 04 Mar 2025)

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Chiranjit Das, Ravi Kumar Kunchala, Prabir K. Patra, Naveen Chandra, Kentaro Ishijima, and Toshinobu Machida
Chiranjit Das, Ravi Kumar Kunchala, Prabir K. Patra, Naveen Chandra, Kentaro Ishijima, and Toshinobu Machida
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Latest update: 21 Jan 2025
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Short summary
Our study compares model CO2 with aircraft and OCO-2 data to identify transport model errors to better policy-related flux estimation. The model align better with aircraft data than satellite data, especially over oceans, but struggles near the surface due to inaccurate CO2 estimates. Over the Amazon and Asian megacities, differences arise from limited measurements and coarse model resolution, highlighting the need for improved monitoring and higher-resolution data to capture emissions better.