Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/141527
Title: Daily station-level records of air temperature, snow depth, and ground temperature in the Northern Hemisphere
Authors: Tran, V. N.
Zhou, W.
Kim, T.
Mazepa, V.
Valdayskikh, V.
Ivanov, V. Y.
Issue Date: 2024
Publisher: Nature Research
Citation: Tran, V. N., Zhou, W., Kim, T., Mazepa, V., Valdayskikh, V., & Ivanov, V. (2024). Daily station-level records of air temperature, snow depth, and ground temperature in the Northern Hemisphere. Scientific Data, 11(1), [645]. https://doi.org/10.1038/s41597-024-03483-x
Abstract: Air temperature (Ta), snow depth (Sd), and soil temperature (Tg) are crucial variables for studying the above- and below-ground thermal conditions, especially in high latitudes. However, in-situ observations are frequently sparse and inconsistent across various datasets, with a significant amount of missing data. This study has assembled a comprehensive dataset of in-situ observations of Ta, Sd, and Tg for the Northern Hemisphere (higher than 30°N latitude), spanning 1960–2021. This dataset encompasses metadata and daily data time series for 27,768, 32,417, and 659 gages for Ta, Sd, and Tg, respectively. Using the ERA5-Land reanalysis data product, we applied deep learning methodology to reconstruct the missing data that account for 54.5%, 59.3%, and 74.3% of Ta, Sd, and Tg daily time series, respectively. The obtained high temporal resolution dataset can be used to better understand physical phenomena and relevant mechanisms, such as the dynamics of land-surface-atmosphere energy exchange, snowpack, and permafrost. © The Author(s) 2024.
Keywords: ATMOSPHERE
SNOW
SOIL
TEMPERATURE
SNOW
ATMOSPHERE
SOIL
TEMPERATURE
URI: http://elar.urfu.ru/handle/10995/141527
Access: info:eu-repo/semantics/openAccess
cc-by
SCOPUS ID: 85196307991
WOS ID: 001249467800001
PURE ID: 58894441
ISSN: 2052-4463
DOI: 10.1038/s41597-024-03483-x
metadata.dc.description.sponsorship: National Science Foundation, NSF, (2053429, 2126792); National Science Foundation, NSF
Valeriy Y. Ivanov acknowledges the support of the U.S. National Science Foundation (NSF) CMMI program award # 2053429, and the NSF Navigating the New Arctic Program Track-I grant 2126792.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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