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  • (-) WSL Research Units = Mountain Hydrology and Mass Movements
  • (-) Publication Year = 2019
  • (-) Keywords ≠ PREVAH model
  • (-) Keywords ≠ assessment
  • (-) WSL Authors ≠ Landmann, Johannes M.
  • (-) Publication Type = Book Chapter
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Combination of decisive properties of soil in science and geotechnics
Gerber, W. (2019). Combination of decisive properties of soil in science and geotechnics. In W. Wu (Ed.), Springer series in geomechanics and geoengineering. Recent advances in geotechnical research (pp. 45-56). https://doi.org/10.1007/978-3-319-89671-7_5
Hydrological ensemble prediction systems around the globe
Liechti, K., & Zappa, M. (2019). Hydrological ensemble prediction systems around the globe. In Q. Duan, F. Pappenberger, A. Wood, H. L. Cloke, & J. C. Schaake (Eds.), Handbook of hydrometeorological ensemble forecasting (pp. 953-975). https://doi.org/10.1007/978-3-642-39925-1_5
Hydrological ensemble prediction systems around the globe
Pappenberger, F., Pagano, T. C., Brown, J. D., Alfieri, L., Lavers, D. A., Berthet, L., … Thielen-del Pozo, J. (2019). Hydrological ensemble prediction systems around the globe. In Q. Duan, F. Pappenberger, A. Wood, H. L. Cloke, & J. C. Schaake (Eds.), Handbook of hydrometeorological ensemble forecasting (pp. 1187-1221). https://doi.org/10.1007/978-3-642-39925-1_47
Shallow landslides: retrospective analysis of the protective effects of forest and conclusions for prediction
Rickli, C., Bebi, P., Graf, F., & Moos, C. (2019). Shallow landslides: retrospective analysis of the protective effects of forest and conclusions for prediction. In W. Wu (Ed.), Springer series in geomechanics and geoengineering. Recent advances in geotechnical research (pp. 175-185). https://doi.org/10.1007/978-3-319-89671-7_15
Introduction to ensemble forecast applications and showcases
Zappa, M., van Andel, S. J., & Cloke, H. L. (2019). Introduction to ensemble forecast applications and showcases. In Q. Duan, F. Pappenberger, A. Wood, H. L. Cloke, & J. C. Schaake (Eds.), Handbook of hydrometeorological ensemble forecasting (pp. 1181-1185). https://doi.org/10.1007/978-3-642-39925-1_45