This metadata document describes the data file 'model_recalibration_results.csv' for the recalibration of the Sinking Pond hydrologic model. The hydrologic model was recalibrated using the R script ‘annotated_R_script_for_model_recalibration.R’ and the input dataset ‘Daily_values_for_climate_stage_and_model_terms.csv’ in this data release to produce recalibrated values for the four calibrated parameters in the model: KBR, KPR, KBG, and PG (see the ‘Entity and Attribute’ section of this metadata document; for additional information see table 9 in Wolfe and others, 2004). The data file ‘model_recalibration_results.csv’ contains the results from the recalibration process. Each row in the dataset represents a different model, where each model is defined by a unique combination of values for KBR, KPR, KBG, and PG. All possible combinations of KBR (15 parameter values), KPR (13 parameter values), KBG (20 parameter values), and PG (21 parameter values) were run as separate models, to yield a total of 81,900 models (i.e., 81,900 rows in this dataset). Each model produced a time series of modeled pond stage which was compared to observed pond stage on a daily time step across 22 water years to calculate four model performance statistics: (1) root mean-squared error (RMSE), (2) Nash-Sutcliffe Efficiency (NSE), (3) the 25th percentile of NSE values across water years (NSE_p25), and (4) hydroperiod discrepancy (HPD); see the ‘Entity and Attribute’ section of this metadata document for additional information about model performance metrics.