Hurricane Jose

Home

Event Support Map

Event Support Map

Track hurricane data and USGS resources.

View Tool

Flood Event Viewer (FEV)

Flood Event Viewer (FEV)

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

Go to Data

News

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.

Date published: September 22, 2017

USGS Tidal Network Monitoring Elevated Water Levels Off Hampton Roads

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, 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.