Evaluation of the hybrid Air2stream model for simulating daily stream temperature during extreme summer heat wave and autumn drought conditions - Data sets and scripts

Overview This repository contains the data and scripts used in the analyses presented in the following publication: Callahan, L. and Moore, R.D. Evaluation of the hybrid Air2stream model for simulating daily stream temperature during extreme summer heat waves and autumn drought conditions. Hydrological Processes, DOI: 10.1002/hyp.70033. Data files a2s_8_parameter_values.csv This file contains the values of the calibrated parameters a1 to a8 for the 8-parameter version of air2stream for each of the 23 hydrometric stations used in the analysis. stn_hyd_reg.csv This file contains the following information for each hydrometric station used in the analysis: · Water Survey of Canada (WSC) station number (station_number) · hydrologic regime (regime) · Water Survey of Canada station name (station_name) · regulation status (status) ts_all_58.csv This file contains daily time series of the input data and simulated and observed water temperatures for each of the 23 hydrometric station. · station_number - WSC station number · year, month, day - date · ta - daily mean air temperature · tw_obs - daily mean observed water temperature (°C) · tw_sim_8 - daily mean water temperature simulated by the 8-parameter version of air2stream (°C) · q - mean daily streamflow (m3s-1) · period - calibration/validation · date - date in yyyy-mm-dd format · tw_sim_5 - daily mean water temperature simulated by the 5-parameter version of air2stream (°C) Scripts 01_generate_map.R Generates a map showing hydrometric station locations within British Columbia 01_cal_val_stats.R Computes root-mean-square error and mean bias error for calibration and validation periods for each hydrometric station. 01_generate_ts_plots.R Generates time-series plots of observed and simulated water temperatures. 02_compare_air2stream_empirical.R Computes RMSE and MBE for both versions of air2stream and five mixed-effects models.