ABSTRACT. As a continuation of efforts to provide a common background and platform for development of calibration and validation (C/V) guidelines for hydrologic and water quality (H/WQ) modeling, ASABE members worked to determine critical topics related to model C/V, perform a synthesis of a previously published special collection of articles and other relevant literature, and provide topic-specific recommendations based on the synthesis as well as personal modeling expertise. This article introduces a special collection of nine research articles covering key topics related to calibration and validation of H/WQ models. The topics include: terminology, hydrologic processes and model representationydrologic and water quality (H/WQ) models consist of interrelated assemblages of mathematical equations that represent complex physical, chemical, and biological processes governing the hydrology and fate and transport of sediments, nutrients, pesticides, and bacteria. H/WQ models are widely used to evaluate the impacts of changes in land use, land management, climate, and conservation practices on soil and water resources. Reliable models provide valuable information for making sound management, policy, and regulatory decisions. Comprehensive calibration and validation (C/V) of models is essential to obtain the "right outcomes" for the "right reasons" (Holling, 1978;Kirchner, 2006). Important components of proper C/V include selecting an appropriate model, setting up the model properly, establishing valid C/V strategies (Refsgaard and Henriksen, 2004), and capturing available datasets to represent the appropriate spatial and temporal scales (Kirchner, 2006).H/WQ models are valuable because they represent processes operating at various spatial and temporal scales simultaneously in a complex and interrelated manner. For example, the hydrology component of the Root Zone Water Quality Model (RZWQM; Ahuja et al., 2000) consists of interrelated hydrologic processes such as precipitation (including rainfall, snow, or irrigation), evaporation and transpiration (ET), surface runoff, infiltration, percolation, lateral flow, streamflow, and groundwater. However, no matter how detailed a model, it remains a simplification of the natural system in which some processes are characterized by rates and thresholds whose values are unknown. Be- cause many model parameters are typically available for calibration, the mere fitting of modeling results to observed data may result in good statistics of model performance but poor correspondence to the actual processes that the model is intended to represent. In such a case, a good fit is obtained for the wrong reasons. Application of such results can lead to incorrect conclusions with negative consequences (Dressel, 2010). The use of proper C/V practices can help prevent this circumstance while also allowing for a common foundation for interpretation of results and their comparison with other modeling studies (Refsgaard and Henriksen, 2004;Douglas-Mankin et al., 2010;Tuppad et al., 2011).Resear...