Global Flood and Landslide Monitoring

Current Heavy Rain, Flood, and Landslide Estimates

Rain information is from real-time TRMM-based Multi-Satellite Precipitation Analysis

View a text report of areas with estimates of severe flooding near weather station locations

Displays of realtime data on this site may be intermittent today due to server maintenance.

Other Resources

Heavy Rain Areas Map

latest heavy rain areas map

UMD Global Flood Monitoring System (GFMS)

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The GFMS is a NASA-funded experimental system using real-time TRMM Multi-satellite Precipitation Analysis (TMPA) precipitation information as input to a quasi-global (50°N - 50°S) hydrological runoff and routing model running on a 1/8th degree latitude/longitude grid. Flood detection/intensity estimates are based on 13 years of retrospective model runs with TMPA input, with flood thresholds derived for each grid location using surface water storage statistics (95th percentile plus parameters related to basin hydrologic characteristics). Streamflow, surface water storage,inundation variables are also calculated at 1km resolution.In addition, the latest maps of instantaneous precipitation and totals from the last day, three days and seven days are displayed.

Click Here to visit the UMD GFMS Webpage

Wu, H., R. F. Adler, Y. Tian, G. J. Huffman, H. Li, and J. Wang (2014), Real-time global flood estimation using satellite-based precipitation and a coupled land surface and routing model, Water Resour. Res., 50, 2693.2717, doi:10.1002/2013WR014710.

Global Flood Potential from Hydrological Maps

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A relevent publication for the hydrological model shown above is: Hong, Y., R. F. Adler, F. Hossain, S. Curtis, and G. J. Huffman (2007), A First Approach to Global Runoff Simulation using Satellite Rainfall Estimation, Water Resources Research, Vol. 43, No.8, W08502, doi: 10.1029/2006WR005739


Click here for more DETAILED maps !


Click here for more DETAILED maps ! Click here for more DETAILED maps !


  1. GEOS-5 model data were adjusted to be similar to 3B42 data with an algorithm by Yudong Tian. Click here for more information.
  2. Most Tropical cyclone positions are from the NOAA Tropical Storm Position and Intensity Page.