Validation of pan-Arctic soil temperatures in modern reanalysis and data assimilation systems

Abstract r > 0.9) in the warm season but show lower correlations (r = 0.55 –0.85) in the cold season. Similarly, the magnitude of monthly variability in soil temperatures is well captured in summer but overestimated by 20 %–50 % for several products in winter. The suggestion is that soil temperatures in reanalysis products are subject to much higher uncertainty when the soil is frozen and/or when the ground is snow covered, suggesting that the representation of processes controlling snow cover in reanalysis systems should be urgently studied. We also validate the ensemble mean of all available products and find that, when all seasons and metrics are considered, the ensemble mean generally outperforms any individual product, in terms of its correlation and variability, while maintaining relatively low biases. As such, we recommend the ensemble mean soil temperature product for a wide range of applications, such as the validation of soil temperatures in climate models, and to inform models that require soil temperature inputs, such as hydrological models.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Validation of pan-Arctic soil temperatures in modern reanalysis and data assimilation systems ; volume:18 ; number:4 ; year:2024 ; pages:1835-1861 ; extent:27 ; The Cryosphere ; 18, Heft 4 (2024), 1835-1861 (gesamt 27)

Contributors, Places and Time

• Creator: Herrington, Tyler C. ; Fletcher, Christopher G. ; Kropp, Heather

Further information

• DOI: 10.5194/tc-18-1835-2024
• URN: urn:nbn:de:101:1-2404250457413.181987203671
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:57 AM CEST