# Characterization of the Surface Energy Balance Residual in Complex Terrain

**Authors:** Martina Destro, Mathias W. Rotach, Manuela Lehner

PMC · DOI: 10.1007/s10546-026-00964-x · Boundary-Layer Meteorology · 2026-02-26

## TL;DR

This study analyzes energy balance residuals in complex terrain, finding that energy gains and losses vary with atmospheric stability and local wind patterns.

## Contribution

The study provides a multi-site analysis of surface energy balance residuals in complex terrain, linking them to atmospheric stability and flow conditions.

## Key findings

- Positive energy residuals occur during the day and negative at night, influenced by atmospheric stability.
- Unstable conditions reduce residual magnitude, while stable conditions increase it.
- Foehn events and valley winds add variability to energy balance residuals.

## Abstract

The closure of the surface energy balance (SEB) in complex terrain remains a persistent challenge. We present a multi-site analysis based on the i-Box network in the Inn Valley, Austria, to characterize the SEB residual (Res) normalized by net radiation (Rn) across different conditions. Diurnal cycles of Res/Rn and turbulent fluxes show a significant residual, positive (i.e., an energy gain) during the day and negative (i.e., an energy loss) during the night. Large Res/Rn is observed during nighttime stable conditions, and minimum values are found under convective mixing. Annual cycles show a distinct pattern for most of the sites, with warmer months displaying the smallest Res/Rn during daytime and largest values during nighttime, while colder months are associated with the opposite behaviour. The study examines the influence of atmospheric stability, turbulent mixing and flow conditions on Res/Rn. Results reveal that unstable conditions, associated with higher vertical mixing, tend to reduce the magnitude of Res/Rn. In contrast, stable conditions are linked to larger residuals. Especially for certain stations, foehn events and valley wind days introduce additional variability. Our findings thus point out not only the need to account for atmospheric stability, turbulence structure, and flow regimes, but also the site-specific response of Res/Rn to the above conditions which highlights the importance of collecting spatially distributed complex terrain observations.

## Full-text entities

- **Genes:** SF1 (splicing factor 1) [NCBI Gene 7536] {aka BBP, D11S636, MBBP, ZCCHC25, ZFM1, ZNF162}
- **Diseases:** EC (MESH:D005955), VWDs (MESH:D014842)
- **Chemicals:** oxygen (MESH:D010100), FLUXNET (-), water (MESH:D014867)
- **Cell lines:** MT21 — Homo sapiens (Human), Breast carcinoma, Cancer cell line (CVCL_7932), NF27 — Homo sapiens (Human), Ovarian carcinosarcoma, Cancer cell line (CVCL_W770)

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12945958/full.md

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Source: https://tomesphere.com/paper/PMC12945958