Comment on essd-2026-176

<strong class="journal-contentHeaderColor">Abstract.</strong> Wetlands are the largest natural source of atmospheric methane (CH₄), yet comprehensive global budgets are typically delayed by several years, preventing a timely understanding of CH₄ sources, sinks, and their trends. To reduce this delay, we present a model emulator-driven framework and accompanying workflow that enable timely, continuous emission updates and applying the framework to a global dataset of natural vegetated wetland CH₄ emissions to extend the most recent Global Methane Budget (GMB; Saunois et al., 2025) record through 2025 at monthly 1&deg;x1&deg; resolution. We developed a machine-learning emulator to reconstruct spatially explicit monthly emission fields (global R² =0.65 &plusmn; 0.003 (mean &plusmn; 95 % CI, hereafter) and RMSE=5.49 &plusmn; 0.12 &times;10^-3 Tg CH₄/year in test data which is ~30 % of the total data). The emulator is trained on 35 GMB model estimates (22 process-based model estimates and 13 atmospheric inversion estimates) paired with 10 ensemble realizations of 11 gridded climate predictor variables from atmospheric reanalyses. While the global mean predicted wetland CH₄ emissions for 2021&ndash;2025 (157.83 &plusmn; 2.38 Tg CH₄/year) are only marginally higher (~0.05 Tg CH₄/year) than the 2000&ndash;2020 baseline, this stability masks a significant hemispheric redistribution of emissions. We detect a surge in Northern Hemisphere emissions in 2021&ndash;2025, with mid- and high-latitudes increasing by 0.76 &plusmn; 0.07 (z-score: 2.21) and 0.35 &plusmn; 0.03 Tg/year (z-score:1.01), respectively, while the tropics and Southern Hemisphere extratropics show offsetting negative trends (-0.95 &plusmn; 0.19 and -0.11 &plusmn; 0.02 Tg/year with z-scores of -2.81 and -0.34, respectively). The predicted emissions capture the low emissions in 2023 in South America linked to El Ni&ntilde;o-related drought, as reported by recent studies (Ciais et al., 2026; Quinn et al., 2025). Post-2020 growth rates of emission anomalies are a magnitude higher than that in 2000&ndash;2025, suggesting an intensification of emission variability. Furthermore, we identify a distinct seasonal amplification of global emission growth peaking in late boreal summer. This new dataset and operational framework bridge the gap between latest updated budgets and low-latency monitoring, providing a scalable capacity to frequently update global emission estimates and critical early warnings of regional wetland feedback loops. The data are publicly available at <a href="https://doi.org/10.5281/zenodo.18870108" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.18870108</a> (Li et al., 2026).