Projecting Changes in Expected Annual Damages From Riverine Flooding in the United States
Summary of datasets for flooding analysis reported in Wobus et al. (2019)
1) Wobus_Flood_Damages_huc10.xlsx – contains total flood damages for floods of each specified recurrence interval, organized by HUC10, for watersheds with RiskMAP data from 3 or 5 recurrence intervals. Also includes lookup table to crosswalk from HUC10 to NCA region, and from HUC10 to the ReachID associated with the modeled flow data.
2) CONUS_model_dT.xlsx – contains the year that each of the 29 models evaluated meets the specified temperature threshold relative to 2001-2020 baseline, on a CONUS average basis. Sheet “Summary” in that workbook is the main result from that analysis.
3) annmaxs_all85.zip – Contains annual maximum timeseries from all nodes in the geospatial fabric as modeled by NCAR/USBR in the VIC downscaled hydrologic dataset. These are the raw data used to generate extreme value statistics for baseline (2001-2020) and future time periods (see below). Variables are “reaches” (57116x1) with reachIDs; “modelnames85” (1x29) with model IDs; “years” (150x1) with years from 1950-2100; and “annmaxs_rcp85” (57116x150x29) with annual maximum flow values by reachID, year and model. Note the step function in annual maximum flows as reported by Wobus et al. (2017) in the year 2000 – do NOT compare pre-2000 vs post-2000 data. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.
Complete Metadata
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| contactPoint |
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"fn": "Jeremy Martinich",
"hasEmail": "mailto:martinich.jeremy@epa.gov"
}
|
| description | Summary of datasets for flooding analysis reported in Wobus et al. (2019) 1) Wobus_Flood_Damages_huc10.xlsx – contains total flood damages for floods of each specified recurrence interval, organized by HUC10, for watersheds with RiskMAP data from 3 or 5 recurrence intervals. Also includes lookup table to crosswalk from HUC10 to NCA region, and from HUC10 to the ReachID associated with the modeled flow data. 2) CONUS_model_dT.xlsx – contains the year that each of the 29 models evaluated meets the specified temperature threshold relative to 2001-2020 baseline, on a CONUS average basis. Sheet “Summary” in that workbook is the main result from that analysis. 3) annmaxs_all85.zip – Contains annual maximum timeseries from all nodes in the geospatial fabric as modeled by NCAR/USBR in the VIC downscaled hydrologic dataset. These are the raw data used to generate extreme value statistics for baseline (2001-2020) and future time periods (see below). Variables are “reaches” (57116x1) with reachIDs; “modelnames85” (1x29) with model IDs; “years” (150x1) with years from 1950-2100; and “annmaxs_rcp85” (57116x150x29) with annual maximum flow values by reachID, year and model. Note the step function in annual maximum flows as reported by Wobus et al. (2017) in the year 2000 – do NOT compare pre-2000 vs post-2000 data. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section. |
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|
| identifier | https://doi.org/10.23719/1504044 |
| keyword |
[
"climate change",
"flood risk",
"hydrology"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2019-05-03 |
| programCode |
[
"020:000"
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| publisher |
{
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
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|
| references |
[
"https://dx.doi.org/10.1029/2018ef001119"
]
|
| rights |
null
|
| title | Projecting Changes in Expected Annual Damages From Riverine Flooding in the United States |
