Depth-dependent predictability of soil temperature under Mediterranean climatic conditions: a frequency-based perspective

Basit Öğe Kaydı
dc.contributor.authorGuleryuz, Didem
dc.contributor.authorYildirim, Umit
dc.contributor.authorGuler, Cuneyt
dc.date.accessioned2026-09-01T15:53:10Z
dc.date.available2026-09-01T15:53:10Z
dc.date.issued2026
dc.departmentBayburt Üniversitesi
dc.description.abstractSoil-temperature predictability is inherently depth-dependent because atmospheric forcing is progressively attenuated and transformed into smoother, lower-frequency thermal dynamics with increasing depth. Under Mediterranean climatic conditions, where pronounced seasonality and strong surface forcing coexist, this depth-dependent transformation provides an informative basis for evaluating model behaviour. This study examines soil-temperature prediction at depths of 5, 10, 20, 50, and 100 cm using a multivariate dataset comprising 5,285 retained daily observations from the Mersin meteorological station on T & uuml;rkiye's eastern Mediterranean coast. Precipitation, air temperature, relative humidity, wind speed, and evaporation were used as predictors. Support vector regression, random forest, and LightGBM were evaluated using R & sup2;, RMSE, and MAE. All three models performed strongly in the near-surface layers, with test R & sup2; values ranging from 0.948 to 0.954 at depths of 5-20 cm. Predictive performance declined with increasing depth as short-period variability weakened and the thermal signal became smoother and more seasonally structured. RF and LightGBM showed a greater numerical decline at 50-100 cm, whereas SVR achieved test R & sup2; values of 0.923 at 50 cm and 0.847 at 100 cm; however, inter-model differences remained modest and were interpreted descriptively. Lomb-Scargle spectral analysis, applied using the actual observation dates, indicated that short-period variability became relatively less pronounced with depth while seasonal-scale and low-frequency components remained prominent. Overall, the findings suggest that soil-temperature prediction should be interpreted in relation to depth-dependent temporal signal characteristics rather than as a search for a universally superior algorithm.
dc.identifier.doi10.1007/s00704-026-06433-2
dc.identifier.issn0177-798X
dc.identifier.issn1434-4483
dc.identifier.issue8
dc.identifier.scopus2-s2.0-105045230083
dc.identifier.scopusqualityQ2
dc.identifier.urihttp://dx.doi.org/10.1007/s00704-026-06433-2
dc.identifier.urihttps://hdl.handle.net/20.500.12403/8564
dc.identifier.volume157
dc.identifier.wosWOS:001826896800002
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Wien
dc.relation.ispartofTheoretical and Applied Climatology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20260820
dc.subject[Keyword Not Available]
dc.titleDepth-dependent predictability of soil temperature under Mediterranean climatic conditions: a frequency-based perspective
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu