Estimation of TRMM rainfall for landslide occurrences based on rainfall threshold analysis

TRMM satellite rainfall data

Spatial rainfall is a key input to Distributed Hydrological Models, which is the most important limitation for the accuracy of hydrological models. Model performance and uncertainty could increase when rain gauge is sparse. Satellite-based precipitation products would be an alternative to ground-based rainfall estimates in present and 5 the foreseeable future, however, it is necessary to evalua...

Sampling Simulation of Rainfall Estimation for Trmm and Gpm Mission

Analysis of Rainfall-Induced Landslide on Unsaturated Soil Slopes

This paper investigates rainfall-induced landslides on partially saturated soil slopes using the 2011 Umyeonsan landslides at the center of Seoul, Korea. An integrated analysis of rainfall-induced landslide was carried out through laboratory tests, field tests, and numerical analysis. The results of comprehensive investigations in the Umyeonsan region demonstrate that landslide activity is clos...

Satellite-based Flood Modeling Using TRMM-based Rainfall Products

Increasingly available and a virtually uninterrupted supply of satellite-estimatedrainfall data is gradually becoming a cost-effective source of input for flood predictionunder a variety of circumstances. However, most real-time and quasi-global satelliterainfall products are currently available at spatial scales ranging from 0.25o to 0.50o andhence, are considered somewhat coarse for dynamic h...

An Analysis of the MJO Guided by TRMM Rainfall Data

The Madden-Julian Oscillation (MJO), an eastward-propagating equatorial disturbance most active during the boreal winter, dominates atmospheric intraseasonal variability in the tropical Eastern Hemisphere. The MJO involves cyclic patterns of suppressed convection and intense rainfall, has a period ranging from 20-100 days, and is manifested in numerous atmospheric and oceanic variables. This st...