| Issue Date | Title | Author(s) |
| 2022-09-01 | Assessing future runoff changes with different potential evapotranspiration inputs based on multi-model ensemble of CMIP5 projections | Shi, L; Feng, P; Wang, B; Liu, DL; Zhang, H; Liu, J; Yu, Q |
| 2022-05-01 | Dominant sources of uncertainty in simulating maize adaptation under future climate scenarios in China | Huang, M; Wang, J; Wang, B; Liu, DL; Feng, P; Yu, Q; Pan, X; Li, S; Jiang, T |
| 2021-10-15 | Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China | Li, L; Wang, B; Feng, P; Wang, H; He, Q; Wang, Y; Liu, DL; Li, Y; He, J; Feng, H; Yang, G; Yu, Q |
| 2021-07-21 | Optimizing Sowing Date and Planting Density Can Mitigate the Impacts of Future Climate on Maize Yield: A Case Study in the Guanzhong Plain of China | Xu, F; Wang, B; He, C; Liu, DL; Feng, P; Yao, N; Zhang, R; Xu, S; Xue, J; Feng, H; Yu, Q; He, J |
| 2021-12-15 | Assessing maize potential to mitigate the adverse effects of future rising temperature and heat stress in China | Huang, M; Wang, J; Wang, B; Liu, DL; Feng, P; Yu, Q; Pan, X; Waters, C |
| 2020-08-01 | Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia | Feng, P; Wang, B; Liu, DL; Ji, F; Niu, X; Ruan, H; Shi, L; Yu, Q |
| 2020-11-01 | Quantifying future drought change and associated uncertainty in southeastern Australia with multiple potential evapotranspiration models | Shi, L; Feng, P; Wang, B; Liu, DL; Yu, Q |
| 2019-09-15 | Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia | Feng, P; Wang, B; Liu, DL; Waters, C; Yu, Q |
| 2020-07 | Using large-scale climate drivers to forecast meteorological drought condition in growing season across the Australian wheatbelt. | Feng, P; Wang, B; Luo, J-J; Liu, DL; Waters, C; Ji, F; Ruan, H; Xiao, D; Shi, L; Yu, Q |
| 2020-06-01 | Creating new near-surface air temperature datasets to understand elevation-dependent warming in the Tibetan Plateau | Zhang, M; Wang, B; Cleverly, J; Liu, DL; Feng, P; Zhang, H; Huete, A; Yang, X; Yu, Q |
