A new approach to estimating the sensible heat flux in bare soils
The estimation of sensible heat flux (H) in drylands is important because it constitutes a significant portion of the net available surface energy. A model to estimate H half-hourly measurements for bare soils was derived by combining the surface renewal (SR) theory and the Monin-Obukhov similarity...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat de Lleida (UdL) |
| Repositorio: | Repositori Obert UdL |
| OAI Identifier: | oai:repositori.udl.cat:10459.1/467968 |
| Acceso en línea: | https://doi.org/10.3390/atmos16040458 https://hdl.handle.net/10459.1/467968 |
| Access Level: | acceso abierto |
| Palabra clave: | Dry climates Bare soil Surface renewal Sensible heat flux |
| Sumario: | The estimation of sensible heat flux (H) in drylands is important because it constitutes a significant portion of the net available surface energy. A model to estimate H half-hourly measurements for bare soils was derived by combining the surface renewal (SR) theory and the Monin-Obukhov similarity theory (MOST), involving the land surface temperature (LST), wind speed, and the air temperature in a period of half an hour, HSR-LST. The surface roughness lengths for momentum (z(om)) and for heat (z(0h)) were estimated at neutral conditions. The dataset included dry climates and different measurement heights (1.5 m up to 20 m). Root mean square error (RMSE) over the mean actual sensible heat flux estimate (H-EC), E =(RMSE)/(HEC)100%, was considered excellent, good, and moderate for E values of up to 25%, 35%, and 40%, respectively. In stable conditions, HSR-LST and H-MOST values were comparable and both were unacceptable (E > 40%). However, the RMSE using HSR-LST ranged between 8 Wm(2 )and 12 Wm(2) and performed slightly better than H-MOST. In unstable conditions, HSR-LST was in excellent, good, and moderate agreement in 3, 6, and 5 cases, respectively; H-MOST was good in 3 cases; and the remaining 11 cases were intolerable because they required site-specific calibration. |
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