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contributor authorKirschbaum, Dalia
contributor authorAdler, Robert
contributor authorAdler, David
contributor authorPeters-Lidard, Christa
contributor authorHuffman, George
date accessioned2017-06-09T17:15:04Z
date available2017-06-09T17:15:04Z
date copyright2012/10/01
date issued2012
identifier issn1525-755X
identifier otherams-81847.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4224895
description abstractt is well known that extreme or prolonged rainfall is the dominant trigger of landslides worldwide. While research has evaluated the spatiotemporal distribution of extreme rainfall and landslides at local or regional scales using in situ data, few studies have mapped rainfall-triggered landslide distribution globally because of the dearth of landslide data and consistent precipitation information. This study uses a newly developed global landslide catalog (GLC) and a 13-yr satellite-based precipitation record from Tropical Rainfall Measuring Mission (TRMM) data. For the first time, these two unique products provide the foundation to quantitatively evaluate the co-occurrence of precipitation and rainfall-triggered landslides globally. Evaluation of the GLC indicates that 2010 had a large number of high-impact landslide events relative to previous years. This study considers how variations in extreme and prolonged satellite-based rainfall are related to the distribution of landslides over the same time scales for three active landslide areas: Central America, the Himalayan arc, and central eastern China. Several test statistics confirm that TRMM rainfall generally scales with the observed increase in landslide reports and fatal events for 2010 and previous years over each region. These findings suggest that the co-occurrence of satellite precipitation and landslide reports may serve as a valuable indicator for characterizing the spatiotemporal distribution of landslide-prone areas in order to establish a global rainfall-triggered landslide climatology. This study characterizes the variability of satellite precipitation data and reported landslide activity at the global scale in order to improve landslide cataloging and attempt to quantify landslide triggering at daily, monthly, and yearly time scales.
publisherAmerican Meteorological Society
titleGlobal Distribution of Extreme Precipitation and High-Impact Landslides in 2010 Relative to Previous Years
typeJournal Paper
journal volume13
journal issue5
journal titleJournal of Hydrometeorology
identifier doi10.1175/JHM-D-12-02.1
journal fristpage1536
journal lastpage1551
treeJournal of Hydrometeorology:;2012:;Volume( 013 ):;issue: 005
contenttypeFulltext


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