H12C-01:
Use of TRMM/GPM Rainfall in Real-Time Global Flood Calculations

Monday, 15 December 2014: 10:20 AM
Robert F Adler, University of Maryland, College Park, MD, United States and Huan Wu, University of Maryland College Park, College Park, MD, United States
Abstract:
A Global Flood Monitoring System (GFMS) has been developed and tested to provide real-time flood detection and streamflow estimates using NASA multi-satellite precipitation data calibrated by TRMM and, in the near future, by the GPM core satellite. Images and output data are available for use by the disaster relief and science communities with updates available every three hours (http://flood.umd.edu). The system currently uses the TRMM Multi-satellite Precipitation Analysis [TMPA]) and a hydrological and routing combination model, the Dominant river Routing Integrated with VIC Environment (DRIVE) system. The land surface and runoff calculations are carried out at 0.125° latitude-longitude resolution with routing and streamflow calculations done at that resolution and also at 1km resolution. Examples of results for recent flood events will be presented, including calculated inundation maps compared to those estimated from MODIS data.

Evaluation of the system against a global flood event archive indicates skill for longer duration floods in terms of Probability of Detection (POD) [~ 0.8] and False Alarm Rates (FAR) [~0.6]. False alarms are often associated with the presence of dams (not accounted for in the system at present), but sometimes with overestimates of rainfall or artifacts (false rain) related to surface conditions (e.g., cold/wet ground). Failures of detection are often related to underestimation of rainfall, frequently due to shallow, orographic systems unseen or underestimated due to lack of a strong scattering signal in the passive microwave observations. Results from GPM-related hydrology field experiments in Iowa (IFloods) and North Carolina (IPHEX) will also be presented where the GFMS is used in a regional mode with rainfall input from various satellite and surface rainfall products, with results compared in terms of rainfall and streamflow.