Stochastic simulations and regional hazard assessment for CAMELS dataset over the United States

Authors:
Manuela Brunner
Owners: Manuela Brunner
  • Contributions
    Joined

Type: Resource
Storage: The size of this resource is 2.1 GB
Created: Jul 20, 2020 at 4:19 p.m.
Last updated: Oct 14, 2020 at 1:14 p.m. (Metadata update)
Published date: Oct 14, 2020 at 1:14 p.m.
DOI: 10.4211/hs.d2230071c2c145ffb722592073efb1af
Citation: See how to cite this resource
Sharing Status: Published
Views: 1252
Downloads: 82
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

This resource provides (1) stochastic continuous streamflow simulations for the 671 catchments in the CAMELS dataset by Addor et al. (2017), (2) peak-over-threshold events extracted from the observed and stochastically simulated series for different flood thresholds, and (3) an R-script to calculate regional flood hazard probabilities using the susceptibility index proposed by Brunner et al. (2020). It accompanies the manuscript How probable is widespread flooding in the United States by Brunner et al. (2020).

Brunner, M. I., Papalexiou, S., Clark, M. P., & Gilleland, E. (2020). How probable is widespread flooding in the UnitedStates? Water Resources Research, 56,e2020WR028096. https://doi.org/10.1029/2020WR028096.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Conterminous United States
North Latitude
49.3099°
East Longitude
-66.0876°
South Latitude
23.9449°
West Longitude
-124.9743°

Temporal

Start Date: 01/01/1980
End Date: 12/31/2018
Leaflet Map data © OpenStreetMap contributors

Content

    No files to display.

Related Resources

The content of this resource references Brunner, M. I., and E. Gilleland (2020), Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach, Hydrol. Earth Syst. Sci., 24, 3967–3982, https://doi.org/10.5194/hess-24-3967-2020.
The content of this resource references Addor, N., A. J. Newman, N. Mizukami, and M. P. Clark (2017), The CAMELS data set: Catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21(10), 5293–5313, https://doi.org/10.5194/hess-21-5293-2017.
This resource is referenced by Brunner, M. I., Papalexiou, S., Clark, M. P., & Gilleland, E. (2020). How probable is widespread flooding in the UnitedStates?.Water Resources Research, 56,e2020WR028096. https://doi.org/10.1029/2020WR028096

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Swiss National Science Foundation Spatial dependence of floods in the United States: Relevant scales, governing processes, expected changes, and uncertainty P400P2_183844

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Martyn Clark University of Saskatchewan
Eric Gilleland National Center for Atmospheric Research
Simon Papalexiou University of Saskatchewan

How to Cite

Brunner, M. (2020). Stochastic simulations and regional hazard assessment for CAMELS dataset over the United States, HydroShare, https://doi.org/10.4211/hs.d2230071c2c145ffb722592073efb1af

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required