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Issue DateTitleAuthor(s)
2019-01-01Propagation of climate model biases to biophysical modelling can complicate assessments of climate change impact in agricultural systemsLiu, DL; Wang, B; Evans, J; Ji, F; Waters, C; Macadam, I; Yang, X; Beyer, K
2020-06-01Creating new near-surface air temperature datasets to understand elevation-dependent warming in the Tibetan PlateauZhang, M; Wang, B; Cleverly, J; Liu, DL; Feng, P; Zhang, H; Huete, A; Yang, X; Yu, Q
2020-07Using 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
2020-05-15Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning techniqueFeng, P; Wang, B; Liu, DL; Waters, C; Xiao, D; Shi, L; Yu, Q
2020-02-01Extreme rainfall, rainfall erosivity, and hillslope erosion in Australian Alpine region and their future changesZhu, Q; Yang, X; Ji, F; Liu, DL; Yu, Q
2020-01-01Analyzing adaptation strategies for maize production under future climate change in Guanzhong Plain, ChinaSaddique, Q; Cai, H; Xu, J; Ajaz, A; He, J; Yu, Q; Wang, Y; Chen, H; Khan, MI; Liu, DL; He, L
2020-01-01Incorporating dynamic factors for improving a GIS-based solar radiation modelZhang, M; Wang, B; Liu, DL; Liu, J; Zhang, H; Feng, P; Kong, D; Cleverly, J; Yang, X; Yu, Q
2020-08-01Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in AustraliaFeng, P; Wang, B; Liu, DL; Ji, F; Niu, X; Ruan, H; Shi, L; Yu, Q
2020-11-01Quantifying future drought change and associated uncertainty in southeastern Australia with multiple potential evapotranspiration modelsShi, L; Feng, P; Wang, B; Liu, DL; Yu, Q
2020-09-15Quantifying the impacts of pre-occurred ENSO signals on wheat yield variation using machine learning in AustraliaWang, B; Feng, P; Waters, C; Cleverly, J; Liu, DL; Yu, Q
Results 1-10 of 12 (Search time: 0.121 seconds).