A multi‐sensor evaluation of precipitation uncertainty for landslide‐triggering storm events

Culler, Elsa S.; Badger, Andrew M.; Minear, Justin Toby; Tiampo, Kristy F.; Zeigler, Spencer D.; Livneh, Ben

doi:10.1002/hyp.14260

i

A multi‐sensor evaluation of precipitation uncertainty for landslide‐triggering storm events

Supporting Files

2021
By Culler, Elsa S. ; Badger, Andrew M. ; Minear, Justin Toby ; ...

Details

Journal Title:

Hydrological Processes
Personal Author:

Culler, Elsa S. ; Badger, Andrew M. ; Minear, Justin Toby ; Tiampo, Kristy F. ; Zeigler, Spencer D. ; Livneh, Ben
NOAA Program & Office:

CIRES (Cooperative Institute for Research in Environmental Sciences)
Description:

Extreme precipitation can have profound conseq uences for communities, resulting in nat- ural hazards such as rainfall-triggered landslides that cause casualties and extensive prop- erty damage. A key challenge to understanding and predicting rainfall-triggered landslides comes from observational uncertainties in the d epth and intensity of precipitation preced- ing the event. Practitioners and researchers m ust select from a wide range of precipitation products, often with little guidance. Here we evaluate the degree of p recipitation uncer-
Keywords:

Water Science and Technology
Source:

Hydrological Processes, 35(7)
DOI:

https://doi.org/10.1002/hyp.14260
ISSN:

0885-6087 ; 1099-1085
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by-nc/4.0/
Rights Information:

CC BY-NC
Compliance:

Library
Main Document Checksum:

urn:sha256:1dd33a53fe400c635ce4b7f49d374d9196f62c4c53f294c84ee7802eb13afe24
Download URL:

https://repository.library.noaa.gov/view/noaa/52936/noaa_52936_DS1.pdf
File Type:

[PDF - 5.64 MB ]

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