EGU22-8203
https://doi.org/10.5194/egusphere-egu22-8203
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.
Using dichotomous satellite observations of dust emission to improve dust emission modelling for future climate predictions
- 1Cardiff university, School of Earth and Environmental Sciences, Cardiff, United Kingdom of Great Britain – England, Scotland, Wales (hennenm@cardiff.ac.uk)
- 2USDA-ARS Jornada Experimental Range, Las Cruces, NM, 88003, USA.
- 3Institute of Meteorology, Freie Universität Berlin, Germany
- 4Geography and Environment, Loughborough University, Loughborough, UK
- 5Department of Environmental and Geographical Science, University of Cape Town, Rondebosch 7701, South Africa.
- 6Centre for Earth Observation, Yale University, USA.
- 7Texas Tech University, Texas, USA
- 8Telespazio UK Ltd, Capability Green, Luton LU1 3LU, Bedfordshire, UK.
How to cite: Hennen, M., Chappell, A., Webb, N., Schepanski, K., Baddock, M., Eckardt, F., Kandakji, T., Lee, J., Nobakht, M., and von Holdt, J.: Using dichotomous satellite observations of dust emission to improve dust emission modelling for future climate predictions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8203, https://doi.org/10.5194/egusphere-egu22-8203, 2022.