Publicações
Oliveira, S., Moura, D., Boski, T., & Horta, J. (2019). Coastal paleokarst landforms: A morphometric approach via UAV for coastal management (Algarve, Portugal case study). Ocean & Coastal Management, 167, 245-261. https://doi.org/10.1016/j.ocecoaman.2018.10.025
Herrero, X., Costas, S., & Kombiadou, K. (2019). Coastal ridge constructive processes at a multi‐decadal scale in Barreta Island (southern Portugal). Earth Surface Processes and Landforms, 45, 411-423. https://doi.org/10.1002/esp.4742
Kwan, Y. H., Zhang, D., Mestre, N. C., Wong, W. C., Wang, X., Lu, B., … Sun, J. (2019). Comparative Proteomics on Deep-Sea Amphipods after in Situ Copper Exposure. Environmental Science & Technology, 53, 13981-13991. https://doi.org/10.1021/acs.est.9b04503
Roelvink, D., McCall, R., Costas, S., & VAN DER LUGT, M. (2019). CONTROLLING SWASH ZONE SLOPE IS KEY TO BEACH PROFILE MODELLING. Coastal Sediments 2019. Apresentado em. WORLD SCIENTIFIC. https://doi.org/10.1142/9789811204487_0014
Naughton, F., Costas, S., Gomes, S., Desprat, S., Rodrigues, T., Goñi, M. S., … Abrantes, F. (2019). Coupled ocean and atmospheric changes during Greenland stadial 1 in southwestern Europe. Quaternary Science Reviews, 212, 108-120. https://doi.org/10.1016/j.quascirev.2019.03.033
Roelvink, D., & Costas, S. (2019). Coupling nearshore and aeolian processes: XBeach and duna process-based models. Environmental Modelling & Software, 115, 98-112. https://doi.org/10.1016/j.envsoft.2019.02.010
Almeida, L. P., Almar, R., Bergsma, E. W. J., Berthier, E., Baptista, P., Garel, E., … Alves, B. (2019). Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery. Remote Sensing, 11, 590. https://doi.org/10.3390/rs11050590
DOSI Paper - Deep-Sea Research. (2019).
Lazarus, E. D., Davenport, K. L., & Matias, A. (2019). Dynamic allometry in coastal overwash morphology. Copernicus GmbH. https://doi.org/10.5194/esurf-2019-39
Ferreira, Ó., Plomaritis, T. A., & Costas, S. (2019). Effectiveness assessment of risk reduction measures at coastal areas using a decision support system: Findings from Emma storm. Science of The Total Environment, 657, 124-135. https://doi.org/10.1016/j.scitotenv.2018.11.478
Sem publicações.