EGU22-10665, updated on 09 Jan 2023
https://doi.org/10.5194/egusphere-egu22-10665
EGU General Assembly 2022
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

SnoDRI: A Machine Learning Based Index to Measure Snow Droughts

Sinan Rasiya Koya, Kanak Kanti Kar, Shivendra Srivastava, and Tirthankar Roy
Sinan Rasiya Koya et al.
  • University of Nebraska-Lincoln, Civil and Environmental Engineering, United States of America (ssinanrk2@huskers.unl.edu)

How to cite: Rasiya Koya, S., Kar, K. K., Srivastava, S., and Roy, T.: SnoDRI: A Machine Learning Based Index to Measure Snow Droughts, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10665, https://doi.org/10.5194/egusphere-egu22-10665, 2022.

This abstract has been withdrawn on 26 May 2022.