Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

Positioning Risk – Climate variability, Nonstationarity and Hydrological Extremes


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: Resource
Storage: The size of this resource is 5.8 MB
Created: Aug 20, 2018 at 7:10 p.m.
Last updated: Aug 20, 2018 at 7:12 p.m.
Citation: See how to cite this resource
Sharing Status: Public
Views: 2230
Downloads: 63
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

Water and the Changing Climate
Chair: Jeanne VanBriesen (Carnegie Mellon University)
Global climate change is changing the frequency and magnitude of precipitation events in many regions, and further change is expected. Effects on precipitation-dependent events (drought, flood) as well as on rainfall-dependent systems (water supply, energy systems, agriculture) will challenge our study and management of hydrologic systems. This session will explore methods to study, model, and plan for hydrologic systems under changing climactic conditions.

"Positioning Risk – Climate variability, Nonstationarity and Hydrological Extremes"
Speaker: Ana Barros (Duke University)

The notion of positioning risk in the context of nonstationarity and future climate is based on the premise that the metrics of risk change conditional on climate regime. The IPCC defines climate regime as a state of the climate system that occurs more frequently than nearby states due to either more persistence or more frequent recurrence, that is a local maximum in the probability density function. First, Global climate Model simulations of past and current climate are analyzed against observations to assess the predictability of multi-decadal to century scale climate regimes relevant to hydrological extremes (precipitation and streamflow) in the Southeast US. Next, we separately address high and low precipitation statistics and space-time variability conditional on climate regime and physiography, and explore the development of a framework for adaptively positioning risk in the assessment of future extremes that also incorporates understanding of regional and local hydrology.

Subject Keywords

Content

Related Resources

This resource belongs to the following collections:
Title Owners Sharing Status My Permission
CUAHSI's 2018 Biennial Colloquium Liz Tran  Public &  Shareable Open Access

How to Cite

Barros, A. (2018). Positioning Risk – Climate variability, Nonstationarity and Hydrological Extremes, HydroShare, http://www.hydroshare.org/resource/62d33e87ec4140b0a99c212a41121c70

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