Assessing the dependence structure between oceanographic, fluvial, and pluvial flooding drivers along the United States coastline

Nasr, Ahmed A.; Wahl, Thomas; Rashid, Md Mamunur; Camus, Paula; Haigh, Ivan D.

doi:https://doi.org/10.5194/hess-25-6203-2021

Articles | Volume 25, issue 12

https://doi.org/10.5194/hess-25-6203-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Understanding compound weather and climate events and related...

https://doi.org/10.5194/hess-25-6203-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 12

Research article

| Highlight paper

|

06 Dec 2021

Research article | Highlight paper |

| 06 Dec 2021

Assessing the dependence structure between oceanographic, fluvial, and pluvial flooding drivers along the United States coastline

Ahmed A. Nasr, Thomas Wahl, Md Mamunur Rashid, Paula Camus, and Ivan D. Haigh

Data sets

ERA5 hourly data on single levels from 1979 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47

River discharge and related historical data from the Global Flood Awareness System S. Harrigan, E. Zsoter, C. Barnard, F. Wetterhall P. Salamon, and C. Prudhomme https://doi.org/10.24381/cds.a4fdd6b9

Model code and software

R package for discovering and retrieving water data available from U.S. federal hydrologic web services L. A. De Cicco, D. Lorenz, R. M. Hirsch, and W. Watkins https://CRAN.R-project.org/package=ataRetrieval

rnoaa: NOAA weather data from R S. Chamberlain, B. Anderson, M. Salmon, A. Erickson, N. Potter, J. Stachelek, A. Simmons, K. Ram, and H. Edmund https://CRAN.R-project.org/package=rnoaa

dplyr: a grammar of data manipulation R Package H. Wickham, R. Francois, L. Henry, and K. Müller https://CRAN.R-project.org/package=dplyr

lubridate: make dealing with dates a little easier R package V. Spinu, G. Grolemund, and H. Wickham https://CRAN.R-project.org/package=lubridate

Tidy Messy Data R package H. Wickham https://CRAN.R-project.org/package=tidyr

ggplot2: create elegant data visualisations using the grammar of graphics R package H. Wickham, W. Chang, L. Henry, T. L. Pedersen, K. Takahashi, C. Wilke, K. Woo, H. Yutani, and D. Dunnington https://CRAN.R-project.org/package=ggplot2

pheatmap: pretty heatmaps in R R. Kolde https://CRAN.R-project.org/package=pheatmap

Short summary

We analyse dependences between different flooding drivers around the USA coastline, where the Gulf of Mexico and the southeastern and southwestern coasts are regions of high dependence between flooding drivers. Dependence is higher during the tropical season in the Gulf and at some locations on the East Coast but higher during the extratropical season on the West Coast. The analysis gives new insights on locations, driver combinations, and the time of the year when compound flooding is likely.