Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
|This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (email@example.com) for information on this resource.
|The size of this resource is 7.3 MB
|May 08, 2020 at 2:29 a.m.
|May 22, 2020 at 8:40 a.m.
|See how to cite this resource
|Geographic Raster Content
|Be the first one to this.
|No comments (yet)
Manmade reservoirs are important components of the terrestrial water balance. Thus, considering the hydro‐climatic effects of reservoirs is important in water cycle studies at a river basin to global scales; yet, reservoirs are represented poorly in large‐scale hydrological and climate models. Here we present a high‐resolution (5 km) continental‐scale reservoir storage dynamics and release scheme by enhancing existing schemes and adding critical novel parameterizations to improve reservoir storage and release simulations. The new scheme simulates river‐floodplain‐reservoir storages in an integrated manner considering their spatial and temporal variations. A new calibration scheme is also incorporated to better simulate reservoir dynamics considering cascade‐reservoir effects. Further, since no reservoir bathymetry data are available over large domains, we use a state‐of‐the‐art digital elevation model and reservoir extent data to derive reservoir bed elevation. The new scheme is integrated within the river‐floodplain routing scheme of a continental hydrological model LEAF‐Hydro‐Flood. Results from the simulation of ~1,900 reservoirs within the contiguous United States suggest that the model well captures the observed reservoir storage‐release dynamics. Comparison of our results with those from the existing schemes suggest a significant improvement; importantly, the new scheme reduces the excessive and frequent reservoir overfilling and underfilling. Comparison of results with satellite‐based surface water data shows that the model accurately reproduces the large‐scale patterns of reservoir‐floodplain inundation extents. It is expected that the results of this study will inform the incorporation of reservoirs in hyper‐resolution models to improve simulations of terrestrial water storage and flow and examine reservoir‐atmosphere interactions over large domains.
Web Map Service
Web Coverage Service
|This resource is referenced by
|Shin, S., Pokhrel, Y., & Miguez‐Macho, G. (2019). High‐Resolution Modeling of Reservoir Release and Storage Dynamics at the Continental Scale. Water Resources Research, 55(1), 787–810. https://doi.org/10.1029/2018WR023025
This resource was created using funding from the following sources:
|National Science Foundation (NSF)
|Michigan State University
How to Cite
This resource is shared under the Creative Commons Attribution-NoCommercial CC BY-NC.http://creativecommons.org/licenses/by-nc/4.0/