Harnessing the Seasonal Predictability of Streamflow (Extended Abstract)
Title | Harnessing the Seasonal Predictability of Streamflow (Extended Abstract) |
Publication Type | Conference Proceedings |
Year of Conference | 2016 |
Authors | Mendoza, Pablo, Vano Julie, Wood Andy, Clark Elizabeth, Nijssen Bart, Rothwell Eric, Clark Martyn, Brekke Levi, and Arnold Jeffrey |
Conference Name | 84th Annual Western Snow Conference |
Date Published | 2016 |
Conference Location | Seattle, Washington |
Abstract | In the western United States, most operational forecasts of seasonal streamflow either use: (i) regression equations based on in situ observations (e.g., snow water equivalent, rainfall) or (ii) hydrologic model simulations that employ current hydrologic conditions and historically observed weather sequences to generate an ensemble of possible futures (e.g., Ensemble Streamflow Prediction, ESP) (Day, 1985; Wood and Lettenmaier, 2006; Pagano et al, 2014;). In this project, we are developing a framework that includes benchmark forecasts and new techniques which include additional predictive information. More specifically, the framework currently generates forecasts for a range of techniques (statistical, dynamical, and hybrid methods) that leverage predictability from both the land surface and climate |
URL | /files/PDFs/2016Mendoza.pdf |