2 research outputs found
Meso-Scale Hydrologic Modeling for Climate Impact Assessments: A Conceptual and A Regresssion Approach
The paper presents two different approaches to hydrologic modeling for Climate Impact Assessments: A conceptual water balance model and a non-parametric regression model. They both are designed for modeling large-scale river basins (Meso-Scale) at a monthly time step and to accept GCM-based climate scenarios defined as changes in monthly precipitation and temperature. The data requirements for the models are historical, multi-annual series of mean monthly temperature, precipitation, and runoff. These data are used to calibrate the models. GCM data or user-defined sensitivity of climatic variable must be provided for the assessment analyses. The paper describes the theoretical bases of both approaches and presents the results of a comparison of the application of the models to the Vistula River Basin in Poland
Adaptation and mitigation as complementary tools for reducing the risk of climate impacts
Adaptation, Climate change impacts, Climate change risks, Flood control, Intolerable changes, Mitigation, Risk management,