Articles | Volume 22, issue 16
https://doi.org/10.5194/bg-22-4135-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-22-4135-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Aug 2025
Research article |
| 26 Aug 2025
| 26 Aug 2025
Climate impact on mean annual cycle and interannual variability of CO2 fluxes in European deciduous broadleaf and evergreen needleleaf forests: insights from observations and state-of-the-art data-driven and process-based models
Asmat Ullah
Biogéosciences, UMR 6282 CNRS, Université Bourgogne Europe, Dijon, France
Biogéosciences, UMR 6282 CNRS, Université Bourgogne Europe, Dijon, France
Gaïa Michel
Biogéosciences, UMR 6282 CNRS, Université Bourgogne Europe, Dijon, France
AgroParisTech, 91120, Palaiseau, France
Olivier Mathieu
Biogéosciences, UMR 6282 CNRS, Université Bourgogne Europe, Dijon, France
Mathieu Thevenot
Biogéosciences, UMR 6282 CNRS, Université Bourgogne Europe, Dijon, France
Andrey Dara
CarbonSpace Ltd., D04H1F3 Dublin, Ireland
Robert Granat
CarbonSpace Ltd., D04H1F3 Dublin, Ireland
Zhendong Wu
Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
ICOS ERIC, Carbon Portal, Lund, Sweden
Clément Bonnefoy-Claudet
Biogéosciences, UMR 6282 CNRS, Université Bourgogne Europe, Dijon, France
Julianne Capelle
Biogéosciences, UMR 6282 CNRS, Université Bourgogne Europe, Dijon, France
Jean Cacot
Bibracte, Glux-en-Glenne, France
John S. Kimball
Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT, United States of America
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Jinyang Du, K. Arthur Endsley, Kazem Bakian Dogaheh, John Kimball, Mahta Moghaddam, Tom Douglas, Asem Melebari, Sepehr Eskandari, Jinhyuk Kim, Jane Whitcomb, Yuhuan Zhao, and Sophia Henze
EGUsphere, https://doi.org/10.5194/egusphere-2025-3236, https://doi.org/10.5194/egusphere-2025-3236, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
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Active layer thickness (ALT) is a sensitive indicator of the thawing Alaskan frozen soil, which may lead to increased greenhouse gas emissions, vegetation changes, and infrastructure damage. This study represents a multi-scale assessment of ALT spatial variations using observations including intensive field sampling, and drone, airborne and satellite remote sensing. Our study allows for improved interpretation of remote sensing and process-based ALT simulations for the changing Arctic.
Caleb G. Pan, Kristofer Lasko, Sean P. Griffin, John S. Kimball, Jinyang Du, Tate G. Meehan, and Peter B. Kirchner
The Cryosphere, 19, 2797–2819, https://doi.org/10.5194/tc-19-2797-2025, https://doi.org/10.5194/tc-19-2797-2025, 2025
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This study examines 35 years of snow cover changes in Alaska’s Yukon River Basin using machine learning to track snowmelt timing and disappearance. Results show snow is melting earlier and disappearing faster due to rising temperatures, highlighting the effects of climate change on water resources, ecosystems, and communities. The findings improve understanding of snow dynamics and provide critical insights for addressing climate-driven challenges in the region.
Aurélien Royer, Julien Crétat, Rémi Laffont, Sara Gamboa, Belén Luna, Iris Menéndez, Benjamin Pohl, Sophie Montuire, and Manuel Hernandez Fernandez
EGUsphere, https://doi.org/10.5194/egusphere-2025-815, https://doi.org/10.5194/egusphere-2025-815, 2025
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Continental scale temperature maps have been generated based on rodent associations and spatial generalized linear mixed model for six different periods (LGM, Heinrich Stadial, Bølling, Allerød, Younger Dryas and present-day conditions). We assess their reliability by comparing with General Circulation Models. The spatial patterns obtained from the rodent associations are very similar to those of the GCMs, but with slightly cooler estimations in western Europe and warmer ones in eastern Europe.
Charles E. Miller, Peter C. Griffith, Elizabeth Hoy, Naiara S. Pinto, Yunling Lou, Scott Hensley, Bruce D. Chapman, Jennifer Baltzer, Kazem Bakian-Dogaheh, W. Robert Bolton, Laura Bourgeau-Chavez, Richard H. Chen, Byung-Hun Choe, Leah K. Clayton, Thomas A. Douglas, Nancy French, Jean E. Holloway, Gang Hong, Lingcao Huang, Go Iwahana, Liza Jenkins, John S. Kimball, Tatiana Loboda, Michelle Mack, Philip Marsh, Roger J. Michaelides, Mahta Moghaddam, Andrew Parsekian, Kevin Schaefer, Paul R. Siqueira, Debjani Singh, Alireza Tabatabaeenejad, Merritt Turetsky, Ridha Touzi, Elizabeth Wig, Cathy J. Wilson, Paul Wilson, Stan D. Wullschleger, Yonghong Yi, Howard A. Zebker, Yu Zhang, Yuhuan Zhao, and Scott J. Goetz
Earth Syst. Sci. Data, 16, 2605–2624, https://doi.org/10.5194/essd-16-2605-2024, https://doi.org/10.5194/essd-16-2605-2024, 2024
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NASA’s Arctic Boreal Vulnerability Experiment (ABoVE) conducted airborne synthetic aperture radar (SAR) surveys of over 120 000 km2 in Alaska and northwestern Canada during 2017, 2018, 2019, and 2022. This paper summarizes those results and provides links to details on ~ 80 individual flight lines. This paper is presented as a guide to enable interested readers to fully explore the ABoVE L- and P-band SAR data.
Zhendong Wu, Alex Vermeulen, Yousuke Sawa, Ute Karstens, Wouter Peters, Remco de Kok, Xin Lan, Yasuyuki Nagai, Akinori Ogi, and Oksana Tarasova
Atmos. Chem. Phys., 24, 1249–1264, https://doi.org/10.5194/acp-24-1249-2024, https://doi.org/10.5194/acp-24-1249-2024, 2024
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This study focuses on exploring the differences in calculating global surface CO2 and its growth rate, considering the impact of analysis methodologies and site selection. Our study reveals that the current global CO2 network has a good capacity to represent global surface CO2 and its growth rate, as well as trends in atmospheric CO2 mass changes. However, small differences exist in different analyses due to the impact of methodology and site selection.
Hylke E. Beck, Ming Pan, Diego G. Miralles, Rolf H. Reichle, Wouter A. Dorigo, Sebastian Hahn, Justin Sheffield, Lanka Karthikeyan, Gianpaolo Balsamo, Robert M. Parinussa, Albert I. J. M. van Dijk, Jinyang Du, John S. Kimball, Noemi Vergopolan, and Eric F. Wood
Hydrol. Earth Syst. Sci., 25, 17–40, https://doi.org/10.5194/hess-25-17-2021, https://doi.org/10.5194/hess-25-17-2021, 2021
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We evaluated the largest and most diverse set of surface soil moisture products ever evaluated in a single study. We found pronounced differences in performance among individual products and product groups. Our results provide guidance to choose the most suitable product for a particular application.
Yonghong Yi, John S. Kimball, Jennifer D. Watts, Susan M. Natali, Donatella Zona, Junjie Liu, Masahito Ueyama, Hideki Kobayashi, Walter Oechel, and Charles E. Miller
Biogeosciences, 17, 5861–5882, https://doi.org/10.5194/bg-17-5861-2020, https://doi.org/10.5194/bg-17-5861-2020, 2020
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We developed a 1 km satellite-data-driven permafrost carbon model to evaluate soil respiration sensitivity to recent snow cover changes in Alaska. Results show earlier snowmelt enhances growing-season soil respiration and reduces annual carbon uptake, while early cold-season soil respiration is linked to the number of snow-free days after the land surface freezes. Our results also show nonnegligible influences of subgrid variability in surface conditions on model-simulated CO2 seasonal cycles.
Seyedmohammad Mousavi, Andreas Colliander, Julie Z. Miller, and John S. Kimball
The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-297, https://doi.org/10.5194/tc-2020-297, 2020
Manuscript not accepted for further review
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Short summary
We analyse how climate drives seasonal and interannual CO2 flux variability in European forests using data from 19 sites and both process-based and data-driven models. The impact of climate on the CO2 flux annual cycle is strong and quite similar across Europe. On the other hand, the impact of climate on year-to-year CO2 flux variability depends on the region and the season, with reversed correlations between spring and summer in northern and central Europe.
We analyse how climate drives seasonal and interannual CO2 flux variability in European forests...
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