Subsequently, Rosso et al. (2006) developed a physical-based modelling for hydrologic control of shallow landslides.
Most climate modeling for hydrologic impacts in California has focused on global or regional trends with fairly coarse resolution [1], [2], [6], [7], [8], [9] or on individual watersheds using finer resolution [4], [5], [10], [11].
A system dynamics model allows for hydrologic, reservoir, plant growth, irrigation, and economic modules to be created on a common spatial and temporal scale (Costanza et al. 1998).
Regardless, these limitations will likely disappear over time as sensor systems continue to evolve, and are outweighed by the benefits of using the WFIUH model of hydrologic connectivity for evaluating flood risk.
Compared to watershed-scale models, field-scale models better account for hydrologic processes within agricultural fields and have the capability to simulate agricultural management practices.
Use of General Circulation Model (GCM) precipitation and evapotranspiration sequences for hydrologic modelling can result in unrealistic simulations due to the coarse scales at which GCMs operate and the systematic biases they contain.
Figure 7 Maps of runoff and recharge for water years 1981 2010 calculated by the Basin Characterization Model for the California hydrologic region.
Here we present the framework of the CA-BCM model for the California hydrologic region, a test of model performance on 159 watersheds, summary results for the region for the 1981 2010 time period, and changes since the 1951 1980 time period.
This paper presents a simple yet effective weakly-constrained (WC) data assimilation (DA) approach for hydrologic models which accounts for model structural inadequacies associated with rainfall-runoff transformation processes.
Using a digital surface model, Ullah and Dickinson (1979a, b) investigated geometric properties of depressions for hydrologic modeling.
