Articles | Volume 30, issue 14
https://doi.org/10.5194/hess-30-4799-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-4799-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Jul 2026
Research article |
| 29 Jul 2026
| 29 Jul 2026
A non-stationary trans-Gaussian model for daily rainfall over complex topography
Lionel Benoit
CORRESPONDING AUTHOR
Biostatistics and Spatial Processes (BioSP), INRAE, 84914 Avignon CEDEX 9, France
Matthew P. Lucas
Water Resources Research Center, University of Hawai`i at Mānoa, Honolulu, Hawaii, USA
Denis Allard
Biostatistics and Spatial Processes (BioSP), INRAE, 84914 Avignon CEDEX 9, France
Keri M. Kodama
University of Hawai`i Sea Grant College Program, University of Hawai`i at Mānoa, Honolulu, Hawaii, USA
Thomas W. Giambelluca
Water Resources Research Center, University of Hawai`i at Mānoa, Honolulu, Hawaii, USA
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Short summary
In mountainous regions the interactions between topography and prevailing winds generate orographic effects, which modulate rainfall occurrence and intensity depending on slope exposure, finally creating strong rainfall gradients. This study introduces a geostatistical model dedicated to rainfall mapping in mountainous areas, which explicitly account for possible orographic effects.
In mountainous regions the interactions between topography and prevailing winds generate...
