12 citations as recorded by crossref.

1. A novel statistical framework for the reduction of uncertainties in multimodel ensemble of global climate models of precipitation simulations R. Khalil & Z. Ali https://doi.org/10.1007/s00382-025-07867-6
2. Insight into historical and future spring snow cover from satellite observation and model simulations over the Northern Hemisphere H. Guo et al. https://doi.org/10.1002/joc.8117
3. Advances in aggregation methods for multi-model ensembles in climate science: A comprehensive review M. Shiru et al. https://doi.org/10.1016/j.pce.2026.104391
4. A novel procedure for monitoring temperature characteristics using multiple climate projections R. Khalil & Z. Ali https://doi.org/10.1007/s00477-025-03031-y
5. Historical Evolution and Future Trends of Precipitation Based on Integrated Datasets and Model Simulations of Arid Central Asia B. Xie et al. https://doi.org/10.3390/rs15235460
6. Inter-rater reliability adaptive weighting (IRRAWE) - a novel ensemble scheme for improved precipitation projections using CMIP6 climate models R. Khalil & Z. Ali https://doi.org/10.1007/s00704-025-05947-5
7. Overcoming global climate model inconsistencies in drought projection with the development of dual divergence correlation weighting scheme over Pakistan M. Yousaf et al. https://doi.org/10.1007/s11600-026-01792-w
8. Discrete-Time Markov Chain Method for Predicting Probability of Crop Yield Variability L. Huzsvai et al. https://doi.org/10.3390/earth6040142
9. A novel optimized machine learning ensemble approach for future drought assessment R. Khalil & Z. Ali https://doi.org/10.1016/j.jhydrol.2025.134782
10. Integration of Exponential Weighted Moving Average Chart in Ensemble of Precipitation of Multiple Global Climate Models (GCMs) M. Shakeel & Z. Ali https://doi.org/10.1007/s11269-023-03702-x
11. Air–Sea CO2 Exchange Over the Mediterranean Sea, the Red Sea and the Arabian Sea M. Zarghamipour et al. https://doi.org/10.1007/s41742-024-00586-6
12. Applications of Markov chains in climate change modelling: A comprehensive review of advances, challenges, and future directions A. Raju https://doi.org/10.1016/j.ecolmodel.2025.111470