Characterizing the scale of regional landslide  triggering from storm hydrometeorology

Perkins, Jonathan; Oakley, Nina S.; Collins, Brian D.; Corbett, Skye C.; Burgess, W. Paul

doi:https://doi.org/10.5194/nhess-25-1037-2025

Articles | Volume 25, issue 3

https://doi.org/10.5194/nhess-25-1037-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-25-1037-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 3

Research article

| Highlight paper

|

10 Mar 2025

Research article | Highlight paper |

| 10 Mar 2025

Characterizing the scale of regional landslide triggering from storm hydrometeorology

Jonathan Perkins, Nina S. Oakley, Brian D. Collins, Skye C. Corbett, and W. Paul Burgess

Data sets

Landslides triggered by th February 2019 atmospheric river storm in the vicinity of Bee Canyon, Riverside County, CA, USA Skye C. Corbett and Jonathan P. Perkins https://doi.org/10.5066/P92XCRSZ

Landslides triggered by the January 11th, 2005 storm in the vicinity of La Conchita, Ventura County, CA, USA Skye C. Corbett and Jonathan P. Perkins https://doi.org/10.5066/P9K6E6MW

QPE (6-Hour Observed Precipitation) California Nevada River Forecast Center https://www.cnrfc.noaa.gov/arc_search.php?product=netcdfqpe

IEM Cow (NSW storm based warning verification) Iowa Environmental Mesonet https://mesonet.agron.iastate.edu/cow/

Shuttle Radar Topography Mission (SRTM) Global NASA https://doi.org/10.5069/G9445JDF

30-Year Normals PRISM https://prism.oregonstate.edu/

Precipitation-Frequency Atlas of the United States, Version 2.3, California Sanja Perica et al. https://repository.library.noaa.gov/view/noaa/22614

Model code and software

PyGMT: A Python interface for the Generic Mapping Tools Dongdong Tian et al. https://doi.org/10.5281/zenodo.14868324

Executive editor

This paper presents a method for characterizing regional landslide potential, which the authors suggest as an improved basis for landslide hazard forecasting during storms. It discusses the advantage of using considering the relative soil-saturation rather than a rainfall recurrence interval to understand landsliding triggered by rainfall, focusing on data from California.