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Can I read Identifying Uncertainties in Hydrologic Fluxes and Seasonality from Hydrologic Model Components for Climate Change Impact Assessments on EtoBox?
Identifying Uncertainties in Hydrologic Fluxes and Seasonality from Hydrologic Model Components for Climate Change Impact Assessments by Feng, Dongmei; Beighley, Edward is a Environmental Science article available to read on EtoBox.
What is Identifying Uncertainties in Hydrologic Fluxes and Seasonality from Hydrologic Model Components for Climate Change Impact Assessments about?
Abstract. Assessing impacts of climate change on hydrologic systems is critical for developing adaptation and mitigation strategies for water resource management, risk control, and ecosystem conservation practices. Such assessments are commonly accomplished using outputs from a hydrologic model forced with future precipitation and temperature projections. The algorithms used for the hydrologic model components (e.g., runoff generation) can introduce significant uncertainties into the simulated hydrologic variables. Here, a modeling framework was developed that integrates multiple runoff generation algorithms with a routing model and associated parameter optimizations. This framework is able to identify uncertainties from both hydrologic model components and climate forcings as well as associated parameterization. Three fundamentally different runoff generation approaches, runoff coefficient method (RCM, conceptual), variable infiltration capacity (VIC, physically based, infiltration excess), and simple-TOPMODEL (STP, physically based, saturation excess), were coupled with the Hillslope River Routing model to simulate surface/subsurface runoff and streamflow. A case study conducted
Who reads Identifying Uncertainties in Hydrologic Fluxes and Seasonality from Hydrologic Model Components for Climate Change Impact Assessments?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- Feng, Dongmei; Beighley, Edward
- Publisher
- Copernicus GmbH; Göttingen: Copernicus Publ. (ISSN 1607-7938)
- Published
- 2020
- Language
- EN
- ISBN
- 9782422532024
- Field
- Environmental Science (Physical Sciences)