EGU22-5211
https://doi.org/10.5194/egusphere-egu22-5211
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Towards global dataset of hydro-meteorological and landscape attributes for large-sample hydrological modelling studies

Dmitrii Abramov and Georgy Ayzel
Dmitrii Abramov and Georgy Ayzel
  • State Hydrological Institute, Saint Petersburg, Russian Federation (dmbrmv96@gmail.com)

How to cite: Abramov, D. and Ayzel, G.: Towards global dataset of hydro-meteorological and landscape attributes for large-sample hydrological modelling studies, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5211, https://doi.org/10.5194/egusphere-egu22-5211, 2022.

This abstract has been withdrawn on 31 Mar 2022.