EGU22-12168
https://doi.org/10.5194/egusphere-egu22-12168
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.Estimating tropical cyclone rainfall using the STORM dataset
- 1University of Bristol, Cabot Institute, School of Geographical Sciences, Bristol, United Kingdom of Great Britain – England, Scotland, Wales (natalie.lord@bristol.ac.uk)
- 2Fathom, Square Works, Bristol, UK.
- 3Lamont-Doherty Earth Observatory, Columbia Climate School, Columbia University, New York, USA.
- 4School of Ocean and Earth Science, National Oceanography Centre, University of Southampton, Southampton, UK.
How to cite: Lord, N., Bloemendaal, N., Haigh, I., Quinn, N., Uhe, P., and Sampson, C.: Estimating tropical cyclone rainfall using the STORM dataset, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12168, https://doi.org/10.5194/egusphere-egu22-12168, 2022.