Assessing the impact of terrestrial photography-derived roughness lengths on evaposublimation from seasonal snow in the Mediterranean mountains of Sierra Nevada (Spain)
1. Study Region The Sierra Nevada mountain range in Spain. 2. Study focus We estimate time series of snow aerodynamic roughness length from daily terrestrial photographs, leveraging textural features to analyze its influence on evaposublimation estimates in our regional snow model under an isotropic...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-08-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825002563 |
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| author | Katharina Theresa Scheidt Rafael Pimentel Valentina Premier Carlo Marin María José Polo Claudia Notarnicola |
| author_facet | Katharina Theresa Scheidt Rafael Pimentel Valentina Premier Carlo Marin María José Polo Claudia Notarnicola |
| author_sort | Katharina Theresa Scheidt |
| collection | DOAJ |
| description | 1. Study Region The Sierra Nevada mountain range in Spain. 2. Study focus We estimate time series of snow aerodynamic roughness length from daily terrestrial photographs, leveraging textural features to analyze its influence on evaposublimation estimates in our regional snow model under an isotropic fetch assumption. Over a long-term study (2010–2021), we compare our derived roughness length time series with a constant roughness length, examining their implications for model performance and evaposublimation trends. 3. New hydrological insights for the region Our comparison reveals that the estimated contribution of evaposublimation to total annual snow ablation using roughness length time series is significantly higher (up to (48.8±3.6)%) than previously reported values (30–35%) and improve performance of our regional snow model upon using roughness length time series. In our study period spanning twelve years, cumulative evaposublimation decline (-7.23mm/yr), likely linked to decreasing snow cover duration (-4.57d/yr) and decreasing annual solid precipitation (-24.81mm/yr), though no trend in evaposublimation rates is observed. The Sierra Nevada’s shallow snowpacks and multiple accumulation and ablation periods create mixed surface types with patchy snow, rocks, and vegetation influencing roughness lengths. Consequently, we identify a relationship between roughness length and snow cover fraction, with the potential to facilitate evaposublimation rate estimates on a spatio-temporal scale for this region in the future. |
| format | Article |
| id | doaj-art-d99c6cf61c834e0782d22f17b099b1cc |
| institution | Kabale University |
| issn | 2214-5818 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj-art-d99c6cf61c834e0782d22f17b099b1cc2025-08-20T03:31:15ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-08-016010243110.1016/j.ejrh.2025.102431Assessing the impact of terrestrial photography-derived roughness lengths on evaposublimation from seasonal snow in the Mediterranean mountains of Sierra Nevada (Spain)Katharina Theresa Scheidt0Rafael Pimentel1Valentina Premier2Carlo Marin3María José Polo4Claudia Notarnicola5Fluvial Dynamics and Hydrology Research Group, Andalusian Institute for Earth System Research, University of Córdoba, Campus Rabanales, Edificio Leonardo da Vinci, Área de Ingeniería Hidráulica, Córdoba, 14014, Spain; Department of Agronomy, Unit of Excellence María de Maeztu (DAUCO), University of Córdoba, Córdoba, 14014, Spain; Eurac Research, Institute for Earth Observation, Viale Druso 1, Bolzano, 39100, Italy; Corresponding author at: Fluvial Dynamics and Hydrology Research Group, Andalusian Institute for Earth System Research, University of Córdoba, Campus Rabanales, Edificio Leonardo da Vinci, Área de Ingeniería Hidráulica, Córdoba, 14014, Spain.Fluvial Dynamics and Hydrology Research Group, Andalusian Institute for Earth System Research, University of Córdoba, Campus Rabanales, Edificio Leonardo da Vinci, Área de Ingeniería Hidráulica, Córdoba, 14014, Spain; Department of Agronomy, Unit of Excellence María de Maeztu (DAUCO), University of Córdoba, Córdoba, 14014, SpainEurac Research, Institute for Earth Observation, Viale Druso 1, Bolzano, 39100, ItalyEurac Research, Institute for Earth Observation, Viale Druso 1, Bolzano, 39100, ItalyFluvial Dynamics and Hydrology Research Group, Andalusian Institute for Earth System Research, University of Córdoba, Campus Rabanales, Edificio Leonardo da Vinci, Área de Ingeniería Hidráulica, Córdoba, 14014, Spain; Department of Agronomy, Unit of Excellence María de Maeztu (DAUCO), University of Córdoba, Córdoba, 14014, SpainEurac Research, Institute for Earth Observation, Viale Druso 1, Bolzano, 39100, Italy1. Study Region The Sierra Nevada mountain range in Spain. 2. Study focus We estimate time series of snow aerodynamic roughness length from daily terrestrial photographs, leveraging textural features to analyze its influence on evaposublimation estimates in our regional snow model under an isotropic fetch assumption. Over a long-term study (2010–2021), we compare our derived roughness length time series with a constant roughness length, examining their implications for model performance and evaposublimation trends. 3. New hydrological insights for the region Our comparison reveals that the estimated contribution of evaposublimation to total annual snow ablation using roughness length time series is significantly higher (up to (48.8±3.6)%) than previously reported values (30–35%) and improve performance of our regional snow model upon using roughness length time series. In our study period spanning twelve years, cumulative evaposublimation decline (-7.23mm/yr), likely linked to decreasing snow cover duration (-4.57d/yr) and decreasing annual solid precipitation (-24.81mm/yr), though no trend in evaposublimation rates is observed. The Sierra Nevada’s shallow snowpacks and multiple accumulation and ablation periods create mixed surface types with patchy snow, rocks, and vegetation influencing roughness lengths. Consequently, we identify a relationship between roughness length and snow cover fraction, with the potential to facilitate evaposublimation rate estimates on a spatio-temporal scale for this region in the future.http://www.sciencedirect.com/science/article/pii/S2214581825002563EvaposublimationRoughness lengthTerrestrial photography |
| spellingShingle | Katharina Theresa Scheidt Rafael Pimentel Valentina Premier Carlo Marin María José Polo Claudia Notarnicola Assessing the impact of terrestrial photography-derived roughness lengths on evaposublimation from seasonal snow in the Mediterranean mountains of Sierra Nevada (Spain) Journal of Hydrology: Regional Studies Evaposublimation Roughness length Terrestrial photography |
| title | Assessing the impact of terrestrial photography-derived roughness lengths on evaposublimation from seasonal snow in the Mediterranean mountains of Sierra Nevada (Spain) |
| title_full | Assessing the impact of terrestrial photography-derived roughness lengths on evaposublimation from seasonal snow in the Mediterranean mountains of Sierra Nevada (Spain) |
| title_fullStr | Assessing the impact of terrestrial photography-derived roughness lengths on evaposublimation from seasonal snow in the Mediterranean mountains of Sierra Nevada (Spain) |
| title_full_unstemmed | Assessing the impact of terrestrial photography-derived roughness lengths on evaposublimation from seasonal snow in the Mediterranean mountains of Sierra Nevada (Spain) |
| title_short | Assessing the impact of terrestrial photography-derived roughness lengths on evaposublimation from seasonal snow in the Mediterranean mountains of Sierra Nevada (Spain) |
| title_sort | assessing the impact of terrestrial photography derived roughness lengths on evaposublimation from seasonal snow in the mediterranean mountains of sierra nevada spain |
| topic | Evaposublimation Roughness length Terrestrial photography |
| url | http://www.sciencedirect.com/science/article/pii/S2214581825002563 |
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