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Issue DateTitleAuthor(s)
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
2020-08-01Machine 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
2020-08Replacing smoking with vaping during pregnancy: Impacts on metabolic health in mice.Li, G; Chan, YL; Wang, B; Saad, S; Oliver, BG; Chen, H
2020-05Projecting potential evapotranspiration change and quantifying its uncertainty under future climate scenarios: A case study in southeastern AustraliaShi, L; Feng, P; Wang, B; Li Liu, D; Cleverly, J; Fang, Q; Yu, Q
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
Results 1-9 of 9 (Search time: 0.106 seconds).
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