Dataset Identification:
Resource Abstract:
- description: Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey
of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central
United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing
depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through
cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model
for the Lower Missouri River, which simulated water surface elevations at cross sections spaced (<1 kilometer) to sufficiently
characterize water surface profiles along an approximately 800 kilometer stretch upstream from the confluence with the Mississippi
River over an 80-year record at a daily time step. To translate these water surface elevations to inundation depths, we subtracted
a merged terrain model consisting of floodplain LIDAR and bathymetric surveys of the river channel. We completed these calculations
for an 800 kilometer stretch of the Missouri River, spanning from Rulo, Nebraska to the river's confluence with the Mississippi
River. This approach resulted in a 29,000+ day time series of inundation depths across the floodplain using grid cells with
30 meter spatial resolution. This dataset presents 17 metrics for each of two scenarios, one using a baseline timeseries of
stages from the HEC-RAS simulation and one using a timeseries of stages adjusted to account for changes in discharge under
one possible climate change scenario. These metrics are calculated on a per pixel basis and encompass a variety of temporal
criteria generally relevant to flora and fauna of interest to floodplain managers, including, for example, the average number
of days inundated per year within a growing season. We also include a series of maps of water depths across the floodplain
by return interval for each scenario, and the minimum return interval at which each pixel is inundated. Lastly, we include
the base elevation layer that we generated to calculate depth of inundation from interpolated water-surface elevations.; abstract:
Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers
of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States
found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth,
extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based
interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the
Lower Missouri River, which simulated water surface elevations at cross sections spaced (<1 kilometer) to sufficiently
characterize water surface profiles along an approximately 800 kilometer stretch upstream from the confluence with the Mississippi
River over an 80-year record at a daily time step. To translate these water surface elevations to inundation depths, we subtracted
a merged terrain model consisting of floodplain LIDAR and bathymetric surveys of the river channel. We completed these calculations
for an 800 kilometer stretch of the Missouri River, spanning from Rulo, Nebraska to the river's confluence with the Mississippi
River. This approach resulted in a 29,000+ day time series of inundation depths across the floodplain using grid cells with
30 meter spatial resolution. This dataset presents 17 metrics for each of two scenarios, one using a baseline timeseries of
stages from the HEC-RAS simulation and one using a timeseries of stages adjusted to account for changes in discharge under
one possible climate change scenario. These metrics are calculated on a per pixel basis and encompass a variety of temporal
criteria generally relevant to flora and fauna of interest to floodplain managers, including, for example, the average number
of days inundated per year within a growing season. We also include a series of maps of water depths across the floodplain
by return interval for each scenario, and the minimum return interval at which each pixel is inundated. Lastly, we include
the base elevation layer that we generated to calculate depth of inundation from interpolated water-surface elevations.
Citation
- Title Science to Inform Management of Floodplain Conservation Lands under Non-Stationary Conditions.
-
- creation Date
2018-06-08T20:11:32.054973
Resource language:
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Digital Transfer Options
-
- Linkage for online resource
-
- name Dublin Core references URL
- URL: https://doi.org/10.5066/F7HM56KG
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Linkage for online resource
- name Dublin Core references URL
- URL: https://doi.org/10.5066/F7HM56KG
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Metadata data stamp:
2018-08-06T23:02:46Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T23:02:46Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
-
-
- Address
-
- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:ee00b4d3-7886-4688-8d8b-fc43a756a589
Metadata record format is ISO19139 XML (MD_Metadata)