Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System.

ABSTRACT: Many existing models that predict landslide hazards utilize ground-based sources of precipitation data. In locations where ground-based precipitation observations are limited (i.e., a vast majority of the globe), or for landslide hazard models that assess regional or global domains, satellite multisensor precipitation products offer a promising near-real-time alternative to ground-based data. NASA's global Landslide Hazard Assessment for Situational Awareness (LHASA) model uses the Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG) product to issue hazard "nowcasts" in near-real time for areas that are currently at risk for landsliding. Satellite-based precipitation estimates, however, can contain considerable systematic bias and random error, especially over

SUBMITTER: Hartke SH 

PROVIDER: S-EPMC8152106 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature