In downloading this resource contents you are ethically bound to respect the terms of this license.
Please confirm that you accept the terms of this license below before you can do any downloads for this resource.
Resource License Agreement
This resource is shared under the Creative Commons Attribution CC BY.
In downloading this resource contents you are ethically bound to respect the terms of this license.
Please confirm that you accept the terms of this license below before you can do any downloads for this resource.
Please wait for the process to complete.
Redirecting to the referenced web URL
The content you have requested to access is not stored in HydroShare, and we can’t guarantee its availability,
quality, security, or size. If the externally linked content is large, access may take time.
Get file URL
You have requested the URL for a file that is within a Discoverable resource.
This resource has Private Link Sharing enabled.
This means that anyone with the link will be able to access the file,
but users without the link will not be permitted unless they have "view" permission on this resource.
You have requested the URL for a file that is within a Discoverable resource.
Only you and other HydroShare users who have been granted at least "view" permission will be able to access this URL.
If you want this URL to be publicly available,
change the sharing status of your resource to "public" or enable Private Link Sharing.
You have requested the URL for a file that is within a Private resource.
This resource has Private Link Sharing enabled.
This means that anyone with the link will be able to access the file,
but users without the link will not be permitted unless they have "view" permission on this resource.
You have requested the URL for a file that is within a Private resource.
Only you and other HydroShare users who have been granted at least "view" permission will be able to access this URL.
If you want this URL to be publicly available, change the sharing status of your resource to "public" or enable Private Link Sharing.
Choose coordinates
Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
The following files/folders contain non-preferred characters in their name.
This may result in problems and you are encouraged to change the name to follow the
HydroShare preferred character set.
Continuous, near-real time predictions of winter flooding are critical to protecting life and property while managing water resources for consumptive use of California’s Truckee River, in the northern Sierra Nevada. Rain-on-snow (ROS) events can lead to widespread flooding and are expected to increase in frequency and magnitude with anthropogenic climate change. ROS flood severity depends on terrestrial water input (TWI), the sum of rain and snow melt that reaches land. However, an incomplete understanding of TWI generation mechanisms limit flood prediction by operational and/or research models. We examine how antecedent snowpack conditions alter TWI during 71 ROS events between water years 1981-2019. Observations from three weather stations within the Independence Creek subwatershed, across a 500 m a.s.l. elevation gradient, force SNOWPACK, a 1-dimensional, physically-based snow model, initiated with the Richard's Equation and calibrated with snow pillow observations. We compare observed `historical' and `scenario' ROS events, where we hold meteorologic conditions constant but vary snowpack conditions. Snowpack variables examined were: cold content, snow density, liquid water content, and snow water equivalent. Results indicate that historical events with TWI $>$ rain associate with the largest observed Sagehen Creek streamflows. A multiple linear regression analysis of scenario events suggests that TWI increases by 0.75 mm water for every 1 MJ decrease in cold content, highlighting the importance of integrated snowpack temperature as a rarely measured variable that could improve forecast models. As ROS becomes more frequent, enhanced observations of cold content could improve flood forecasting and reservoir management in ROS-prone mountain regions worldwide
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
Confirm files deletion
This file will be permanently deleted. Consider saving a copy if it is
important to you. If this is the last file in the resource and it is public,
the sharing status will revert to private. If you are not the owner of
this resource, then an owner will need to reset this to public after a new
file has been added. If you want to replace this file, add the new file
first then delete the old one, so that sharing status does not change.
Comments
There are currently no comments
New Comment