Amorim Brandão, A. R.; Husic, A.; Almagro, A.; Schwamback, D.; Oliveira, P. T. S. (2026). Explaining Spatial Variation and Catchment Characteristics Thresholds in Streamflow Response. Journal of Hydrology, 674, 135492. DOI: https://doi.org/10.1016/j.jhydrol.2026.135492
Schwamback, D.; Aguiar, B. S.; Sone, J. S.; Brandão, A. R. A.; Ballarin, A. S.; de Miranda, J. H.; Wendland, E. C. (2026). SoilFutures-BR: Bias-Corrected Soil Temperature Projections for Brazil. Scientific Data. DOI: https://doi.org/10.1038/s41597-026-07500-z
Brandão, A. R. A.; Schwamback, D.; de Menezes Filho, F. C. M.; Oliveira, P. T. S.; Fava, M. C. (2025). Artificial Neural Networks for Flood Prediction in Current and CMIP6 Climate Change Scenarios. Journal of Flood Risk Management, 18, 1–18. DOI: https://doi.org/10.1111/jfr3.70029
Brandão, A. R. A.; Schwamback, D.; Ramirez-Avila, J. J.; Ballarin, A. S.; Oliveira, P. T. S. (2025). Comparing Frequency-Matched and Natural Data Approaches for Estimating the Curve Number from Rainfall-Runoff Data. Journal of Hydrologic Engineering, 30(3), 04025007. DOI: https://doi.org/10.1061/JHYEFF.HEENG-6400
Amorim Brandão, A. R.; Schwamback, D.; Ballarin, A. S.; Ramirez-Avila, J. J.; Vasconcelos, J. G.; Oliveira, P. T. S. (2025). Toward a Better Understanding of Curve Number and Initial Abstraction Ratio Values from a Large Sample of Watersheds Perspective. Journal of Hydrology, 132941. DOI: https://doi.org/10.1016/j.jhydrol.2025.132941
Schwamback, D.; Amorim Brandão, A. R.; Berndtsson, R.; Wendland, E.; Persson, M. (2025). Assessment of Water Fluxes under the Dual Threat of Changes in Land Cover and Climate Variability in the Brazilian Cerrado Biome. Journal of Hydrology: Regional Studies, 61, 102699. DOI: https://doi.org/10.1016/j.ejrh.2025.102699
Kobayashi, A. N. A.; Anache, J. A. A.; Sone, J. S.; Gesualdo, G. C.; Schwamback, D.; Wendland, E. (2025). Enhancing Representativeness of Eddy Covariance Evapotranspiration with Remote Sensing and In Situ Data: A Case Study in the Brazilian Cerrado. Ecohydrology, 18(2), e70012. DOI: https://doi.org/10.1002/eco.70012
Bertotto, L. E.; Reis, A.; Cobalchini, É. R. O.; Schwamback, D.; Sousa Mota Uchôa, J. G.; Wendland, E. C. (2024). Heated Fibre Optics to Monitor Soil Moisture under Successive Saturation-Drying Cycles: An Experimental Approach. European Journal of Soil Science, 75, e13535. DOI: https://doi.org/10.1111/ejss.13535
Schwamback, D.; Amorim Brandão, A. R.; Rosalem, L. M. P.; Oliveira, P. T. S.; Anache, J. A. A.; Wendland, E. C.; Berndtsson, R.; Persson, M. (2024). Land Use Transformations in the Brazilian Savanna: A Decade of Soil Erosion and Runoff Measurements. Catena, 246, 108412. DOI: https://doi.org/10.1016/j.catena.2024.108412
Schwamback, D.; Amorim Brandão, A. R.; Bertotto, L. E.; Berndtsson, R.; Zhang, L.; Wendland, E.; Persson, M. (2024). Quantifying Soil Loss in the Brazilian Savanna Ecosystem: Current Rates and Anticipated Impact of Climate Changes. Land Degradation & Development. DOI: https://doi.org/10.1002/ldr.5331
Ballarin, A. S.; Sone, J. S.; Gesualdo, G. C.; Schwamback, D.; Reis, A.; Almagro, A.; Wendland, E. C. (2023). CLIMBra – Climate Change Dataset for Brazil. Scientific Data, 10. DOI: https://doi.org/10.1038/s41597-023-01956-z
Moreira, L. L.; Vanelli, F. M.; Schwamback, D.; Kobiyama, M.; de Brito, M. M. (2023). Sensitivity Analysis of Indicator Weights for the Construction of Flood Vulnerability Indexes: A Participatory Approach. Frontiers in Water, 5, 970469. DOI: https://doi.org/10.3389/frwa.2023.970469
Schwamback, D.; Persson, M.; Berndtsson, R.; Bertotto, L. E.; Kobayashi, A. N. A.; Wendland, E. C. (2023). Automated Low-Cost Soil Moisture Sensors: Trade-Off between Cost and Accuracy. Sensors, 23, 2451. DOI: https://doi.org/10.3390/s23052451
Schwamback, D.; Persson, M.; Berndtsson, R.; Anache, J. A. A.; Wendland, E. C. (2023). Adaptive Design of Tipping Bucket Flow Meters for Continuous Runoff Measurement. Frontiers in Environmental Science, 11, 1286929. DOI: https://doi.org/10.3389/fenvs.2023.1286929
Schwamback, D.; Anache, J. A. A.; Wendland, E. C. (2022). Calibration and Error Investigation of Large Tipping Bucket Flow Meters. Catena, 209, 105834. DOI: https://doi.org/10.1016/j.catena.2021.105834
Schwamback, D.; Gesualdo, G. C.; Sone, J. S.; Kobayashi, A. N. A.; Bertotto, L. E.; Garcia, M. V. S.; Almagro, A.; Oliveira, P. T. S. (2022). Are Brazilian Catchments Gaining or Losing Water? The Effective Area of Tropical Catchments. Hydrological Processes, 36(3), e14535. DOI: https://doi.org/10.1002/hyp.14535
Melo, D. C. D.; Anache, J. A. A.; Almeida, C. N.; Coutinho, J. V.; Ramos Filho, G. M.; Rosalem, L. M. P.; Pelinson, N. S.; Ferreira, G. L. R. A.; Schwamback, D.; et al. (2020). The Big Picture of Field Hydrology Studies in Brazil.Hydrological Sciences Journal, 65(8), 1262–1280. DOI: https://doi.org/10.1080/02626667.2020.1747618
Moreira, L. L.; Novais, R. R.; Schwamback, D.; Carvalho Júnior, S. M. (2020). Spatial-Temporal Dynamics of Rainfall Erosivity in the State of Espírito Santo (Brazil) from Remote Sensing Data. World Journal of Science, Technology and Sustainable Development, 17(3), 297–309. DOI: https://doi.org/10.1108/WJSTSD-08-2019-0059
Schwamback, D.; Moreira, L. L.; Rigo, D. (2020). Effects of Native Vegetation Recovery on Soil Loss. Journal of Applied Water Engineering and Research, 8, 194–204. DOI: https://doi.org/10.1080/23249676.2020.1787244
Moreira, L. L.; Schwamback, D.; Rigo, D. (2020). Different Calibration Procedures for Flow Estimation Using the SWAT Model. Journal of Applied Water Engineering and Research, 8, 205–218. DOI: https://doi.org/10.1080/23249676.2020.1787246
Moreira, L. L.; Schwamback, D.; Rigo, D. (2019). Soil Parameters for Estimating Streamflow in Watersheds.Revista Verde de Agroecologia e Desenvolvimento Sustentável, 14(1), 78–84. DOI: https://doi.org/10.18378/rvads.v14i1.5854
Moreira, L. L.; Schwamback, D.; Rigo, D. (2018). Sensitivity Analysis of the Soil and Water Assessment Tool (SWAT) Model in Streamflow Modeling in a Rural River Basin. Revista Ambiente & Água, 13(6). DOI: https://doi.org/10.4136/ambi-agua.2221
Moreira, L. L.; Schwamback, D.; Correa, N. R.; Coelho, A. L. N. (2016). GIS Applied to the Selection of Potential Areas for Landfill Installation in the Municipality of Serra, Espírito Santo, Brazil. Geociências, 35, 531–541.
Ruschi Mendes Saade, M.; G. da Silva, M.; Gomes, V.; Gumez Franco, H.; Schwamback, D.; Lavor, B. (2014). Material Eco-Efficiency Indicators for Brazilian Buildings. Smart and Sustainable Built Environment, 3(1), 54–71. DOI: https://doi.org/10.1108/SASBE-04-2013-0024