Observation-driven model for calculating water-harvesting potential from advective fog in (semi-)arid coastal regions

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dc.catalogadorvzp
dc.contributor.authorLobos Roco, Felipe Andrés
dc.contributor.authorVila-Guerau de Arellano, Jordi
dc.contributor.authorDel Rio López, Camilo
dc.date.accessioned2025-03-18T16:03:46Z
dc.date.available2025-03-18T16:03:46Z
dc.date.issued2025
dc.description.abstractMotivated by the need to find complementary water sources in (semi-)arid regions, we develop and assess an observation-driven model to calculate fog-harvesting water potential. We aim to integrate this model with routine meteorological data collected under complex meteorological and topographic conditions to characterize the advective fog phenomenon. Based on the mass balance principle, the Advective fog Model for (semi-)Arid Regions Under climate change (AMARU) offers insights into fog-water-harvesting volumes across temporal and spatial domains. The model is based on a simple thermodynamic approach to calculate the dependence of the liquid water content (rl) on height. Based on climatological fog collection records, we introduce an empirical efficiency coefficient. When combined with rl, this coefficient facilitates the estimation of fog-harvesting volumes (L m-2). AMARU's outputs are validated against in situ observations collected over Chile's coastal (semi-)arid regions at various elevations and during various years (2018-2023). The model's representations of the seasonal cycle of fog harvesting follow observations, with errors of similar to 10 %. The model satisfactorily estimates the maximum rl (similar to 0.8 g kg-1) available for fog harvesting in the vertical column. To assess spatial variability, we combine the model with satellite-retrieved data, enabling the mapping of fog-harvesting potential along the Atacama coast. Our approach enables the application of the combined observation-AMARU model to other (semi-)arid regions worldwide that share similar conditions. Through the quantification of fog harvesting, our model contributes to water planning, ecosystem delimitation efforts, and the study of the climatological evolution of cloud water, among others.
dc.description.funderFONDECYT; Folio de beca: 1211846
dc.fechaingreso.objetodigital2025-03-18
dc.format.extent17 páginas
dc.fuente.origenWOS
dc.identifier.doi10.5194/hess-29-109-2025
dc.identifier.eissn1607-7938
dc.identifier.issn1027-5606
dc.identifier.urihttps://doi.org/10.5194/hess-29-109-2025
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/102743
dc.identifier.wosidWOS:001395026800001
dc.information.autorucInstituto de Geografía; Lobos Roco, Felipe Andrés; S/I; 157192
dc.information.autorucInstituto de Geografía; Del Rio Lopez Camilo; 0000-0002-6817-431X; 17960
dc.issue.numero1
dc.language.isoen
dc.nota.accesocontenido completo
dc.pagina.final125
dc.pagina.inicio109
dc.publisherCOPERNICUS GESELLSCHAFT MBH
dc.revistaHYDROLOGY AND EARTH SYSTEM SCIENCES
dc.rightsacceso abierto
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.subject.deweyCiencias de la tierraes_ES
dc.titleObservation-driven model for calculating water-harvesting potential from advective fog in (semi-)arid coastal regions
dc.typeartículo
dc.volumen29
sipa.codpersvinculados157192
sipa.codpersvinculados17960
sipa.trazabilidadWOS;2025-01-25
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