EGU21-8542
https://doi.org/10.5194/egusphere-egu21-8542
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Hydrology without Dimensions

Amilcare Porporato
Amilcare Porporato
  • Princeton, PRINCETON NJ, United States of America (aporpora@princeton.edu)
 
Dimensional analysis offers an ideal playground to tackle complex hydrological problems. The powerful dimension reduction, in terms of governing dimensionless groups, afforded by the PI-theorem and the related self-similarity arguments is especially fruitful in case of nonlinear models and complex datasets. After briefly reviewing these main concepts, in this lecture I will present several applications ranging from hydrologic partitioning (Budyko's curve) and stochastic ecohydrology, to global weathering rates and soil formation, as well as landscape evolution and channelization. Since Copernicus-dot-org asks me to add at least 25 words to the abstract, I would like to thank the colleagues who supported my nomination for the Dalton medal and my many collaborators.

How to cite: Porporato, A.: Hydrology without Dimensions, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-8542, https://doi.org/10.5194/egusphere-egu21-8542, 2021.

Corresponding presentation materials formerly uploaded have been withdrawn.