Evaluating, interpreting, and communicating performance of hydrologic/water quality models considering intended use: A review and recommendations. - R. Daren Harmel; Patricia K. Smith; Kati W. Migliaccio; Indrajeet Chaubey; Kyle R. Douglas-Mankin; Brian Benham; Sanjay Shukla; Rafael Muñoz-Carpena; Barbara J. Robson (Environ. Model. Softw., 2014)

A framework for propagation of uncertainty contributed by parameterization, input data, model structure, and calibration/validation data in watershed modeling. - Haw Yen; Xiuying Wang 003; Darrell G. Fontane; R. Daren Harmel; Mazdak Arabi (Environ. Model. Softw., 2014)

A modified F-test for evaluating model performance by including both experimental and simulation uncertainties. - Nathan Q. Sima; R. Daren Harmel; Quanxiao Fang; Liwang Ma; Allan A. Andales (Environ. Model. Softw., 2018)

A Bayesian total uncertainty analysis framework for assessment of management practices using watershed models. - Ali Tasdighi; Mazdak Arabi; R. Daren Harmel; Daniel Line (Environ. Model. Softw., 2018)

Simulating synergistic effects of climate change and conservation practices on greenhouse gas emissions and crop growth in long-term maize cropping systems. - Haomiao Cheng; Qilin Yu; Zhiming Qi; Melissa Bukovsky; Lulin Xue; Virginia L. Jin; Liwang Ma; R. Daren Harmel; Xiaoping Chen; Shu Ji; Lingzhan Miao; Shaoyuan Feng (Comput. Electron. Agric., 2023)