%0 Journal Article %1 Torres-Freyermuth20191359 %A Torres-Freyermuth, A. %A Pintado-Patiño, J.C. %A Pedrozo-Acuña, A. %A Puleo, J.A. %A Baldock, T.E. %D 2019 %I Springer %J Ocean Dynamics %K 2019 Parameterization RANSmodel Runup SwashZone Uncertainty from:erick007 %N 11-12 %P 1359-1371 %R 10.1007/s10236-019-01305-y %T Runup uncertainty on planar beaches %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074592609&doi=10.1007%2fs10236-019-01305-y&partnerID=40&md5=c8d8bc4e816fc0d2f2b60b063ef94b25 %V 69 %X Parameterization of wave runup is of paramount importance for an assessment of coastal hazards. Parametric models employ wave (e.g., Hs and Lp) and beach (i.e., β) parameters to estimate extreme runup (e.g., R2%). Thus, recent studies have been devoted to improving such parameterizations by including additional information regarding wave forcing or beach morphology features. However, the effects of intra-wave dynamics, related to the random nature of the wave transformation process, on runup statistics have not been incorporated. This work employs a phase- and depth- resolving model, based on the Reynolds-averaged Navier-Stokes equations, to investigate different sources of variability associated with runup on planar beaches. The numerical model is validated with laboratory runup data. Subsequently, the role of both aleatory uncertainty and other known sources of runup variability (i.e., frequency spreading and bed roughness) is investigated. Model results show that aleatory uncertainty can be more important than the contributions from other sources of variability such as the bed roughness and frequency spreading. Ensemble results are employed to develop a new parametric model which uses the Hunt (J Waterw Port Coastal Ocean Eng 85:123–152, 1959) scaling parameter β(HsLp)1/2. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

@article{Torres-Freyermuth20191359, abbrev_source_title = {Ocean Dyn.}, abstract = {Parameterization of wave runup is of paramount importance for an assessment of coastal hazards. Parametric models employ wave (e.g., Hs and Lp) and beach (i.e., β) parameters to estimate extreme runup (e.g., R2%). Thus, recent studies have been devoted to improving such parameterizations by including additional information regarding wave forcing or beach morphology features. However, the effects of intra-wave dynamics, related to the random nature of the wave transformation process, on runup statistics have not been incorporated. This work employs a phase- and depth- resolving model, based on the Reynolds-averaged Navier-Stokes equations, to investigate different sources of variability associated with runup on planar beaches. The numerical model is validated with laboratory runup data. Subsequently, the role of both aleatory uncertainty and other known sources of runup variability (i.e., frequency spreading and bed roughness) is investigated. Model results show that aleatory uncertainty can be more important than the contributions from other sources of variability such as the bed roughness and frequency spreading. Ensemble results are employed to develop a new parametric model which uses the Hunt (J Waterw Port Coastal Ocean Eng 85:123–152, 1959) scaling parameter β(HsLp)1/2. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.}, added-at = {2021-05-28T02:25:01.000+0200}, affiliation = {Instituto de Ingenieria, Universidad Nacional Autonoma de Mexico, Puerto de Abrigo s/n, Sisal, YU 97356, Mexico; Escuela Nacional de Estudios Superiores, Unidad Merida, Universidad Nacional Autonoma de Mexico, Carretera Merida-Tetiz, Km 4, Ucu, YU 97357, Mexico; Instituto de Ingenieria, Universidad Nacional Autonoma de Mexico, Circuito Escolar s/n, Ciudad Universitaria, Delegacion Coyoacan, CDMX 04510, Mexico; Center for Applied Coastal Research, University of Delaware, Newark, DE 19716, United States; School of Civil Engineering, University of Queensland, St Lucia, QLD 4072, Australia}, author = {Torres-Freyermuth, A. and Pintado-Patiño, J.C. and Pedrozo-Acuña, A. and Puleo, J.A. and Baldock, T.E.}, biburl = {https://www.bibsonomy.org/bibtex/2436cd62ac51e4ad5a4b7644391f7fbb5/publ_del_lipc}, correspondence_address1 = {Torres-Freyermuth, A.; Instituto de Ingenieria, Puerto de Abrigo s/n, Mexico; email: ATorresF@iingen.unam.mx}, document_type = {Article}, doi = {10.1007/s10236-019-01305-y}, funding_details = {490080}, funding_text 1 = {We acknowledge ONR Global and CONACYT (CB-2016-284430 and LN 271544) for financial support. Additional financial support was provided by UNAM through PAPIIT DGAPA (PAPIIT IN101218) and the International Collaborative Project between Instituto de Ingenieria and the University of Delaware. J.C. Pintado-Patiño acknowledges the financial support provided by the Mexican National Council of Science and Technology (CoNACyT) under the graduate scholarship 490080. Acknowledgments}, interhash = {d7cd238ee87a216ab2568395e81025f8}, intrahash = {436cd62ac51e4ad5a4b7644391f7fbb5}, issn = {16167341}, journal = {Ocean Dynamics}, keywords = {2019 Parameterization RANSmodel Runup SwashZone Uncertainty from:erick007}, language = {English}, number = {11-12}, pages = {1359-1371}, publisher = {Springer}, source = {Scopus}, timestamp = {2021-06-23T06:14:38.000+0200}, title = {Runup uncertainty on planar beaches}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074592609&doi=10.1007%2fs10236-019-01305-y&partnerID=40&md5=c8d8bc4e816fc0d2f2b60b063ef94b25}, volume = 69, year = 2019 }