Hurricane Jose

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

A USGS hydrologic technician installs a Rapid-Deployment Gauge on a bridge in Norfolk, Virginia.
September 22, 2017

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.

A USGS hydrologic technician installs a Rapid-Deployment Gauge on a bridge in Norfolk, Virginia.
September 22, 2017

To learn more about USGS’ role providing science to decision makers before, during and after Hurricane Jose, visit the USGS Hurricane Jose page at https://www.usgs.gov/jose.

A USGS specialist installs a storm-tide sensor in Massachusetts before Hurricane Jose's arrival.
September 19, 2017

To learn more about USGS’ role providing science to decision makers before, during and after Hurricane Jose, visit the USGS Hurricane Jose page at https://www.usgs.gov/jose.

Publications

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, Jr., 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.

Year Published: 2015

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.
H.C.W. van Verseveld, A.R. van Dongeren, N.G. Plant, W.S. Jäger, C. den Heijer, Modelling multi-hazard hurricane damages on an urbanized coast with a Bayesian Network approach, Coastal Engineering, Volume 103, September 2015, Pages 1-14, ISSN 0378-3839, http://dx.doi.org/10.1016/j.coastaleng.2015.05.006.

Year Published: 2014

National assessment of hurricane-induced coastal erosion hazards: Northeast Atlantic Coast

Beaches serve as a natural buffer between the ocean and inland communities, ecosystems, and natural resources. However, these dynamic environments move and change in response to winds, waves, and currents. During extreme storms, changes to beaches can be great, and the results are sometimes catastrophic. Lives may be lost, communities destroyed,...

Birchler, Justin J.; Stockdon, Hilary F.; Doran, Kara S.; Thompson, David M.
Birchler, J.J., Stockdon, H.F., Doran, K.S., and Thompson, D.M., 2014, National assessment of hurricane-induced coastal erosion hazards—Northeast Atlantic Coast: U.S. Geological Survey Open-File Report 2014–1243, 36 p., http://dx.doi.org/10.3133/ofr20141243.