13 citations as recorded by crossref.

1. Examining soil carbon uncertainty in a global model: response of microbial decomposition to temperature, moisture and nutrient limitation J. Exbrayat et al. 10.5194/bg-10-7095-2013
2. Relative model score: a scoring rule for evaluating ensemble simulations with application to microbial soil respiration modeling A. Elshall et al. 10.1007/s00477-018-1592-3
3. Modeling the Effects of Environmental Conditions on HT2 and T2 Toxin Accumulation in Field Oat Grains X. Xu et al. 10.1094/PHYTO-03-13-0070-R
4. A practical planning software program for desalination in agriculture - SPARE:WATERopt S. Multsch et al. 10.1016/j.desal.2016.11.012
5. Toward “optimal” integration of terrestrial biosphere models C. Schwalm et al. 10.1002/2015GL064002
6. Reliability ensemble averaging of 21st century projections of terrestrial net primary productivity reduces global and regional uncertainties J. Exbrayat et al. 10.5194/esd-9-153-2018
7. Reduction of predictive uncertainty in estimating irrigation water requirement through multi-model ensembles and ensemble averaging S. Multsch et al. 10.5194/gmd-8-1233-2015
8. Addressing sources of uncertainty in runoff projections for a data scarce catchment in the Ecuadorian Andes J. Exbrayat et al. 10.1007/s10584-014-1160-x
9. Capability and limitations of a simple grid-based model for simulating land use influences on stream nitrate concentrations S. Dunn et al. 10.1016/j.jhydrol.2013.10.016
10. Combining Models is More Likely to Give Better Predictions than Single Models X. Hu et al. 10.1094/PHYTO-11-14-0315-R
11. Developing logistic models to relate the accumulation of DON associated with Fusarium head blight to climatic conditions in Europe X. Xu et al. 10.1007/s10658-013-0280-x
12. Identifying a robust method to build RCMs ensemble as climate forcing for hydrological impact models P. Olmos Giménez et al. 10.1016/j.atmosres.2016.01.012
13. Toward a framework for the multimodel ensemble prediction of soil nitrogen losses K. Liao et al. 10.1016/j.ecolmodel.2021.109675