The U.S. Geological Survey has deployed storm-tide sensors, forecast what coastal change to expect, and is ready to measure the extent of flooding likely to result from this powerful storm, Hurricane Harvey.
Event Support Map
Track hurricane data and USGS resources.View Tool
Flood Event Viewer (FEV)
FEV (an interactive map) provides viewable and downloadable flood event data.Go to Data
No one has a crystal ball to foresee what will happen during the 2018 hurricane season that begins June 1, but NOAA forecasters say there’s a 75 percent chance this hurricane season will be at least as busy as a normal year, or busier.
As thousands of people remain displaced by or are recovering from one of the four hurricanes that have affected the United States the past month, the U.S. Geological Survey is in the field providing science that will help with recovery from these historic hurricanes and with preparing for the next storm.
Pre- and post-storm photo comparisons using NOAA imagery
Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016
The passage of Hurricane Matthew across the central and eastern regions of North Carolina and South Carolina during October 7–9, 2016, resulted in heavy rainfall that caused major flooding in parts of the eastern Piedmont in North Carolina and coastal regions of both States. Rainfall totals of 3 to 8 inches and 8 to more than 15 inches were...Weaver, J. Curtis; Feaster, Toby D.; Robbins, Jeanne C.
Identifying and preserving high-water mark data
High-water marks provide valuable data for understanding recent and historical flood events. The proper collection and recording of high-water mark data from perishable and preserved evidence informs flood assessments, research, and water resource management. Given the high cost of flooding in developed areas, experienced hydrographers, using the...Koenig, Todd A.; Bruce, Jennifer L.; O'Connor, Jim; McGee, Benton D.; Holmes, Robert R.; Hollins, Ryan; Forbes, Brandon T.; Kohn, Michael S.; Schellekens, Mathew; Martin, Zachary W.; Peppler, Marie C.
Modelling multi-hazard hurricane damages on an urbanized coast with a Bayesian Network approach
Hurricane flood impacts to residential buildings in coastal zones are caused by a number of hazards, such as inundation, overflow currents, erosion, and wave attack. However, traditional hurricane damage models typically make use of stage-damage functions, where the stage is related to flooding depth only. Moreover, these models are deterministic...van Verseveld, H.C.W.; Van Dongeren, A. R.; Plant, Nathaniel G.; Jäger, W.S.; den Heijer, C.