Articles | Volume 18, issue 1
https://doi.org/10.5194/tc-18-231-2024
https://doi.org/10.5194/tc-18-231-2024
Research article
 | 
12 Jan 2024
Research article |  | 12 Jan 2024

Modeling snowpack dynamics and surface energy budget in boreal and subarctic peatlands and forests

Jari-Pekka Nousu, Matthieu Lafaysse, Giulia Mazzotti, Pertti Ala-aho, Hannu Marttila, Bertrand Cluzet, Mika Aurela, Annalea Lohila, Pasi Kolari, Aaron Boone, Mathieu Fructus, and Samuli Launiainen

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Cited articles

Aalto, J., Aalto, P., Keronen, P., Kolari, P., Rantala, P., Taipale, R., Kajos, M., Patokoski, J., Rinne, J., Ruuskanen, T., Leskinen, M., Laakso, H., Levula, J., Pohja, T., Siivola, E., Kulmala, M., and Ylivinkka, I.: SMEAR II Hyytiälä forest meteorology, greenhouse gases, air quality and soil, Fairdata, https://doi.org/10.23729/62f7ad2c-7fe0-4f66-b0a4-8d57c80524ec, 2022. a, b
Ala-Aho, P., Autio, A., Bhattacharjee, J., Isokangas, E., Kujala, K., Marttila, H., Menberu, M., Meriö, L. J., Postila, H., Rauhala, A., Ronkanen, A. K., Rossi, P. M., Saari, M., Haghighi, A. T., and Klove, B.: What conditions favor the influence of seasonally frozen ground on hydrological partitioning? A systematic review, Environ. Res. Lett., 16, 4, https://doi.org/10.1088/1748-9326/abe82c, 2021. a
Alekseychik, P., Kolari, P., Rinne, J., Haapanala, S., Laakso, H., Taipale, R., Matilainen, T., Salminen, T., Levula, J., and Tuittila, E.: SMEAR II Siikaneva 1 wetland meteorology and soil, Fairdata, https://doi.org/10.23729/7d205559-3ef9-4f34-8e08-ea24316f50c8, 2022a. a, b, c
Alekseychik, P., Peltola, O., Li, X., Aurela, M., Hatakka, J., Pihlatie, M., Rinne, J., Haapanala, S., Laakso, H., Taipale, R., Matilainen, T., Salminen, T., and Levula, J.: SMEAR II Siikaneva 1 wetland eddy covariance, Fairdata, https://doi.org/10.23729/f6455f02-905b-4bf7-a870-743bd3788bf6, 2022b. a
Alekseychik, P. K., Korrensalo, A., Mammarella, I., Vesala, T., and Tuittila, E. S.: Relationship between aerodynamic roughness length and bulk sedge leaf area index in a mixed-species boreal mire complex, Geophys. Res. Lett., 44, 5836–5843, https://doi.org/10.1002/2017GL073884, 2017. a, b, c
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Short summary
The snowpack has a major impact on the land surface energy budget. Accurate simulation of the snowpack energy budget is difficult, and studies that evaluate models against energy budget observations are rare. We compared predictions from well-known models with observations of energy budgets, snow depths and soil temperatures in Finland. Our study identified contrasting strengths and limitations for the models. These results can be used for choosing the right models depending on the use cases.
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