WetCH<sub>4</sub>: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022

WetCH<sub>4</sub>: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022

<p>Wetlands are the largest natural source of methane (CH<span class="inline-formula"><sub>4</sub></span>) emissions globally. Northern wetlands (<span class="inline-formula">&gt;45</span>° N), accounting for 42 % of global wetland ar...

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Main Authors: Q. Ying, B. Poulter, J. D. Watts, K. A. Arndt, A.-M. Virkkala, L. Bruhwiler, Y. Oh, B. M. Rogers, S. M. Natali, H. Sullivan, A. Armstrong, E. J. Ward, L. D. Schiferl, C. D. Elder, O. Peltola, A. Bartsch, A. R. Desai, E. Euskirchen, M. Göckede, B. Lehner, M. B. Nilsson, M. Peichl, O. Sonnentag, E.-S. Tuittila, T. Sachs, A. Kalhori, M. Ueyama, Z. Zhang
Format: Article
Language:English
Published: Copernicus Publications 2025-06-01
Series:Earth System Science Data
Online Access:https://essd.copernicus.org/articles/17/2507/2025/essd-17-2507-2025.pdf
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