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Understanding and modeling SAC may lead to a deeper biological understanding of the investigated variables.
Modeling SAC can thus inform us or lead us to hypothesize about, for example, the scale at which habitat quality is heterogeneous, the distance (scale) over which males influence each other through vocal communication, or the distance over which females sample mates.
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The partitioned kw and hsB models are also compared to the original SAC-SMA model (Sac) and SAC-SMA applied to a partitioned watershed (Sacm).
We had not anticipated these results because in our model sAC is situated upstream of Rab3.
Because it lies at the core of most spatial models, SAC is a fundamental concept of spatial analysis (Getis 2008).
This model is called the SAC-SMA Heat Transfer model (SAC-HT).
A comparison of efficiency was made between GP models and three conceptual models (SAC-SMA, BTOPMC, GR4J).
This model adopts a well-tested conceptual water balance model, SAC-SMA, applied on a regular spatial grid, and links to physically-based kinematic hillslope and channel routing models.
We used (i) long term measured flow and precipitation data over 73 catchments from the eastern US. (ii) We calibrated the Sacramento model (SAC-SMA) to simulate soil moisture and flow components FDCs.
A fully distributed, physically-based model, a modified version of the Interactions Soil Biosphere Atmosphere model of Météo France (MISBA), and a lumped, conceptual rainfall runoff Sacramento model, SAC-SMA of the US National Weather Service, were used to simulate the streamflow of UBNB.
Application of HL-RDHM to Hanalei watershed required (i) modifying the Hydrologic Rainfall Analysis Project HRAPP) coordinate system; (ii) generating precipitation grids from rain gauge data, and (iii) generating parameters for Sacramento Soil Moisture Accounting Model (SAC-SMA) and routing parameter grids for the modified HRAP coordinate system.
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