Hurricane Harvey

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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

Event Support Map

Track hurricane data and USGS resources.

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Flood Event Viewer (FEV)

Flood Event Viewer (FEV)

FEV (an interactive map) provides viewable and downloadable flood event data.

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News

Date published: July 9, 2018

Post-Harvey Report Provides Inundation Maps and Flood Details on “Largest Rainfall Event Recorded in US History”

Nineteen inundation maps and detailed flood information from Hurricane Harvey are now available from the U.S. Geological Survey, in cooperation with the Federal Emergency Management Agency. Hurricane Harvey was the most significant rainfall event in U.S. history, both in scope and peak rainfall amounts, since records began in the 1880s.

Date published: May 31, 2018

USGS Hurricane Response Met Challenges in 2017, Prepares for 2018

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.

Date published: September 22, 2017

USGS Continues Response to Four Hurricanes

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.

Publications

Year Published: 2018

Characterization of peak streamflows and flood inundation of selected areas in southeastern Texas and southwestern Louisiana from the August and September 2017 flood resulting from Hurricane Harvey

Hurricane Harvey made landfall near Rockport, Texas, on August 25, 2017, as a Category 4 hurricane with wind gusts exceeding 150 miles per hour. As Harvey moved inland, the forward motion of the storm slowed down and produced tremendous rainfall amounts over southeastern Texas, with 8-day rainfall amounts exceeding 60 inches in some locations,...

Watson, Kara M.; Harwell, Glenn R.; Wallace, David S.; Welborn, Toby L.; Stengel, Victoria G.; McDowell, Jeremy S.
Watson, K.M., Harwell, G.R., Wallace, D.S., Welborn, T.L., Stengel, V.G., and McDowell, J.S., 2018, Characterization of peak streamflows and flood inundation of selected areas in southeastern Texas and southwestern Louisiana from the August and September 2017 flood resulting from Hurricane Harvey: U.S. Geological Survey Scientific Investigations Report 2018–5070, 44 p., https://doi.org/10.3133/sir20185070.

Year Published: 2016

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.
Weaver, J.C., Feaster, T.D., and Robbins, J.C., 2016, Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016: U.S. Geological Survey Open-File Report 2016–1205, 38 p., https://doi.org/10.3133/ofr20161205.

Year Published: 2016

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.
Koenig, T.A., Bruce, J.L., O’Connor, J.E., McGee, B.D., Holmes, R.R., Jr., Hollins, Ryan, Forbes, B.T., Kohn, M.S., Schellekens, M.F., Martin, Z.W., and Peppler, M.C., 2016, Identifying and preserving high-water mark data: U.S. Geological Survey Techniques and Methods, book 3, chap. A24, 47 p., http://dx.doi.org/10.3133/tm3A24.