This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Mohawk River at Cohoes, New York (U.S. Geological Survey station number 01357500). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. C4 (Rasmussen and others, 2009). The model is composed of two ordinary least squares linear regression equations covering low and high turbidity. The low turbidity equation is based on forty-one concurrent measurements of SSC and turbidity collected from October 1, 2016, through August 28, 2020; the high turbidity equaiton is based on thirty-six concurrent measurements collected over the same period. Samples were collected across 90 percent of the range of observed discharge and turbidity. The greatest sampled discharges and turbidities during the calibration period were exceeded less than 0.2 percent and 0.5 percent of the time, respectively. Both models were developed using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015).