Supporting data for "Improving the reliability of sub-seasonal forecasts of high and low flows by using a flow-dependent non-parametric model" by McInerney et al. (2021)

This dataset contains post-processed rainfall forecast (hincast) data used in the study "Improving the reliability of sub-seasonal forecasts of high and low flows by using a flow-dependent non-parametric model" by McInerney et al. (2021).This dataset was produced by the Australian Bureau of Meteorology. Rainfall forecasts are produced using the Australian Community Climate Earth-System Simulator - Seasonal (ACCESS-S Version 1) (Hudson et al., 2017).The ACCESS-S forecasts are then post-processed to reduce biases and improve reliability (Schepen et al., 2018).ReferencesHudson, D., Alves, O., Hendon, H. H., Lim, E., Liu, G., Luo, J. J., MacLachlan, C., Marshall, A. G., Shi, L., Wang, G., Wedd, R., Young, G., Zhao, M. & Zhou, X. 2017. ACCESS-S1 The new Bureau of Meteorology multi-week to seasonal prediction system. Journal of Southern Hemisphere Earth System Sciences, 67, 132-159.McInerney, D., Thyer, M., Kavetski, D., Laugesen, R.,Woldemeskel, F., Tuteja, N. & Kuczera, G. Improving the reliability of short-term forecasts of high and low flows by using a flow-dependent non-parametric model (under review).Schepen, A., Zhao, T., Wang, Q. J. & Robertson, D. E. 2018. A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments. Hydrol. Earth Syst. Sci., 22, 1615-1628.

本数据集包含经后处理的降雨预报（回报预报，hincast）数据，用于McInerney等人2021年的研究《基于流依赖非参数模型提升高低流量次季节预报可靠性》（原英文标题："Improving the reliability of sub-seasonal forecasts of high and low flows by using a flow-dependent non-parametric model"）。本数据集由澳大利亚气象局（Australian Bureau of Meteorology）制作。降雨预报采用澳大利亚社区气候地球系统模拟器-季节版（ACCESS-S Version 1）生成，相关研究参见Hudson等人2017年发表的文献。随后，研究人员对ACCESS-S的预报结果进行后处理，以降低预报偏差并提升预报可靠性，相关方法参见Schepen等人2018年的研究。

参考文献：
1. Hudson, D., Alves, O., Hendon, H. H., Lim, E., Liu, G., Luo, J. J., MacLachlan, C., Marshall, A. G., Shi, L., Wang, G., Wedd, R., Young, G., Zhao, M. & Zhou, X. 2017. 《ACCESS-S1：澳大利亚气象局新一代多周到季节尺度预报系统》，《南半球地球系统科学杂志》（Journal of Southern Hemisphere Earth System Sciences），67卷，132-159页。
2. McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N. & Kuczera, G. 《基于流依赖非参数模型提升高低流量短期预报可靠性》（原英文标题："Improving the reliability of short-term forecasts of high and low flows by using a flow-dependent non-parametric model"）（已投稿待审）。
3. Schepen, A., Zhao, T., Wang, Q. J. & Robertson, D. E. 2018. 《针对全球气候模式日尺度次季节到季节降雨预报的后处理贝叶斯建模方法及在12个澳大利亚流域的评估》，《水文与地球系统科学》（Hydrol. Earth Syst. Sci.），22卷，1615-1628页。