To what extent does the CO2 diurnal cycle impact flux estimates derived from global and regional inversions? DOI Creative Commons
Saqr Munassar, Christian Rödenbeck, Michał Gałkowski

et al.

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(1), P. 639 - 656

Published: Jan. 17, 2025

Abstract. Ignoring the diurnal cycle in surface-to-atmosphere CO2 fluxes leads to a systematic bias mole fraction simulations sampled at daytime because daily mean flux systematically misses uptake during hours. In an atmospheric inversion using daytime-selected measurements most continental sites and not resolving cycles flux, this biases estimates of annual sources sinks CO2. This study focuses on quantifying impact effect carbon estimated with CarboScope (CS) regional, continental, global scales for period time 2010–2020. Our analysis is based biogenic hourly net ecosystem exchange (NEE) obtained from data-driven FLUXCOM-X estimates, together regional transport models. Differences between mixing ratios simulated averaged NEE range around −2.5 7 ppm annually throughout site network across world. These differences lead inversions. Although total negligible (around 2 % overall land −1.79 Pg C yr−1), we find significant budgets scales. For Europe, difference arising indirectly through boundary condition amounts 48 posterior (0.31 yr−1) CarboScope-Regional (CSR). Furthermore, calculated CS increase magnitude some regions such as North American temperate forests northern Africa by factor about 1.5. To extent that are realistic all latitudes station set including many stations used our inversions here, conclude ignoring variations overestimation both tropical lands zones.

Language: Английский

Modelling changes in vegetation productivity and carbon balance under future climate scenarios in southeastern Australia DOI
Bin Wang, Benjamin Smith, Cathy Waters

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 924, P. 171748 - 171748

Published: March 15, 2024

Language: Английский

Citations

5
Verifying Methane Inventories and Trends With Atmospheric Methane Data DOI Creative Commons
John R. Worden, Sudhanshu Pandey, Yuzhong Zhang

et al.

AGU Advances, Journal Year: 2023, Volume and Issue: 4(4)

Published: Aug. 1, 2023

Abstract The 2015 Paris Climate Agreement and Global Methane Pledge formalized agreement for countries to report reduce methane emissions mitigate near‐term climate change. Emission inventories generated through surface activity measurements are reported annually or bi‐annually, evaluated periodically a “Global Stocktake.” Emissions inverted from atmospheric data support evaluation of inventories, but their systematic use is stifled by spatially variable biases prior errors combined with limited sensitivity observations (also called smoothing error), as‐well‐as poorly characterized information content. Here, we demonstrate Bayesian, optimal estimation (OE) algorithm evaluating state‐of‐the‐art inventory (EDGAR v6.0) using satellite‐based 2009 2018. OE quantifies the content (uncertainty reduction, sectoral attribution, spatial resolution) disentangles effect error when comparing an inventory. We find robust differences between satellite EDGAR total livestock, rice, coal emissions: 14 ± 9, 12 8, −11 6 Tg CH 4 /yr respectively. agree that livestock increasing (0.25–1.3 /yr/yr), primarily in Indo‐Pakistan region, sub‐tropical Africa, Southern Brazilian; East Asia rice also increasing, highlighting importance agriculture on growth rate. In contrast, low waste fossil emission trends confounds comparison satellite; increased sampling resolution therefore needed evaluate changes these sectors.

Language: Английский

Citations

12
A Review of Satellite-Based CO2 Data Reconstruction Studies: Methodologies, Challenges, and Advances DOI Creative Commons
Kai Hu, Ziran Liu,

Pengfei Shao

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(20), P. 3818 - 3818

Published: Oct. 14, 2024

Carbon dioxide is one of the most influential greenhouse gases affecting human life. CO2 data can be obtained through three methods: ground-based, airborne, and satellite-based observations. However, ground-based monitoring typically composed sparsely distributed stations, while airborne has limited coverage spatial resolution; they cannot fully reflect spatiotemporal distribution CO2. Satellite remote sensing plays a crucial role in global atmospheric CO2, offering high observation accuracy wide coverage. satellite still faces constraints, such as interference from clouds (or aerosols) limitations orbits, which lead to significant loss. Therefore, reconstruction becomes particularly important. This article summarizes methods for data, including interpolation, fusion, super-resolution techniques, their advantages disadvantages, it also provides comprehensive overview classification applications techniques. Finally, offers future perspectives, suggesting that ideas like image represent trend field reconstruction.

Language: Английский

Citations

4
Biome-scale temperature sensitivity of ecosystem respiration revealed by atmospheric CO2 observations DOI Creative Commons
Wu Sun, Xiangzhong Luo, Yuanyuan Fang

et al.

Nature Ecology & Evolution, Journal Year: 2023, Volume and Issue: 7(8), P. 1199 - 1210

Published: June 15, 2023

The temperature sensitivity of ecosystem respiration regulates how the terrestrial carbon sink responds to a warming climate but has been difficult constrain observationally beyond plot scale. Here we use observations atmospheric CO2 concentrations from network towers together with flux estimates state-of-the-art biosphere models characterize respiration, as represented by Arrhenius activation energy, over various North American biomes. We infer energies 0.43 eV for America and 0.38 0.53 major biomes therein, which are substantially below those reported plot-scale studies (approximately 0.65 eV). This discrepancy suggests that sparse do not capture spatial-scale dependence biome specificity sensitivity. further show adjusting apparent in model markedly improves their ability represent observed variability. study provides constrained directly at scale reveals sensitivities this lower than based on earlier studies. These findings call additional work assess resilience large-scale sinks warming.

Language: Английский

Citations

11
To what extent does the CO2 diurnal cycle impact flux estimates derived from global and regional inversions? DOI Creative Commons
Saqr Munassar, Christian Rödenbeck, Michał Gałkowski

et al.

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(1), P. 639 - 656

Published: Jan. 17, 2025

Abstract. Ignoring the diurnal cycle in surface-to-atmosphere CO2 fluxes leads to a systematic bias mole fraction simulations sampled at daytime because daily mean flux systematically misses uptake during hours. In an atmospheric inversion using daytime-selected measurements most continental sites and not resolving cycles flux, this biases estimates of annual sources sinks CO2. This study focuses on quantifying impact effect carbon estimated with CarboScope (CS) regional, continental, global scales for period time 2010–2020. Our analysis is based biogenic hourly net ecosystem exchange (NEE) obtained from data-driven FLUXCOM-X estimates, together regional transport models. Differences between mixing ratios simulated averaged NEE range around −2.5 7 ppm annually throughout site network across world. These differences lead inversions. Although total negligible (around 2 % overall land −1.79 Pg C yr−1), we find significant budgets scales. For Europe, difference arising indirectly through boundary condition amounts 48 posterior (0.31 yr−1) CarboScope-Regional (CSR). Furthermore, calculated CS increase magnitude some regions such as North American temperate forests northern Africa by factor about 1.5. To extent that are realistic all latitudes station set including many stations used our inversions here, conclude ignoring variations overestimation both tropical lands zones.

Language: Английский

Citations

0