9 citations as recorded by crossref.

1. A novel optimized machine learning ensemble approach for future drought assessment R. Khalil & Z. Ali
2. Assessing sensitivities of climate model weighting to multiple methods, variables, and domains in the south-central United States A. Wootten et al.
3. A novel method to test non-exclusive hypotheses applied to Arctic ice projections from dependent models R. Olson et al.
4. The Effect of Statistical Downscaling on the Weighting of Multi-Model Ensembles of Precipitation A. Wootten et al.
5. Accounting for skill in trend, variability, and autocorrelation facilitates better multi-model projections: Application to the AMOC and temperature time series R. Olson et al.
6. Probabilistic projections of El Niño Southern Oscillation properties accounting for model dependence and skill R. Olson et al.
7. Bayesian Model Averaging of Climate Model Projections Constrained by Precipitation Observations over the Contiguous United States E. Massoud et al.
8. A Markov chain method for weighting climate model ensembles M. Kulinich et al.
9. Inter-rater reliability adaptive weighting (IRRAWE) - a novel ensemble scheme for improved precipitation projections using CMIP6 climate models R. Khalil & Z. Ali