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

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Tarih

2026

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Springer Wien

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Soil-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.

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Anahtar Kelimeler

[Keyword Not Available]

Kaynak

Theoretical and Applied Climatology

WoS Q Değeri

Q3

Scopus Q Değeri

Q2

Cilt

157

Sayı

8

Künye