14 citations as recorded by crossref.

1. Threefold increase in most intense South Atlantic convergence zone events by 2100 in convection-permitting simulation M. Zilli et al. https://doi.org/10.1088/1748-9326/ade16e
2. Evaluating the Water Cycle Over CONUS at the Watershed Scale for the Energy Exascale Earth System Model Version 1 (E3SMv1) Across Resolutions B. Harrop et al. https://doi.org/10.1029/2022MS003490
3. Assessment and future projections of storm surge using CMIP6 models in the Indo-Pacific region K. Saha et al. https://doi.org/10.1016/j.ocemod.2025.102560
4. Impact of horizontal resolution and model time step on European precipitation extremes in the OpenIFS 43r3 atmospheric model Y. Liu et al. https://doi.org/10.5194/gmd-18-5435-2025
5. Impact of increased resolution on long-standing biases in HighResMIP-PRIMAVERA climate models E. Moreno-Chamarro et al. https://doi.org/10.5194/gmd-15-269-2022
6. An evaluation of the seasonal Caribbean hydroclimate in low and high-resolution CESM and other CMIP6 models C. Martinez et al. https://doi.org/10.1007/s00382-024-07516-4
7. Extreme rainfall and landslides as a response to human-induced climate change: a case study at Baixada Santista, Brazil, 2020 D. de Souza et al. https://doi.org/10.1007/s11069-024-06621-1
8. High-Resolution Model Intercomparison Project phase 2 (HighResMIP2) towards CMIP7 M. Roberts et al. https://doi.org/10.5194/gmd-18-1307-2025
9. The double‐ITCZ problem in CMIP6 and the influences of deep convection and model resolution X. Ma et al. https://doi.org/10.1002/joc.7980
10. The added value of using convective-permitting regional climate model simulations to represent cloud band events over South America M. Zilli et al. https://doi.org/10.1007/s00382-024-07460-3
11. Adapting to climate change in arid agricultural systems: An optimization model for water-energy-food nexus sustainability R. Radmehr et al. https://doi.org/10.1016/j.agwat.2024.109052
12. Toward Earth system modeling with resolved clouds and ocean submesoscales on heterogeneous many-core HPCs S. Zhang et al. https://doi.org/10.1093/nsr/nwad069
13. Uncertainties in measuring precipitation hinders precise evaluation of loss of diversity in biomes and ecotones A. Navarro et al. https://doi.org/10.1038/s41612-024-00581-w
14. Coupled model intercomparison project phase 6 (CMIP6) high resolution model intercomparison project (HighResMIP) bias in extreme rainfall drives underestimation of amazonian precipitation R. Negron-Juarez et al. https://doi.org/10.1088/2515-7620/ad6ff9