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).<br>This dataset was produced by the Australian Bureau of Meteorology. <br><br>Rainfall forecasts are produced using the Australian Community Climate Earth-System Simulator - Seasonal (ACCESS-S Version 1) (Hudson et al., 2017).<br>The ACCESS-S forecasts are then post-processed to reduce biases and improve reliability (Schepen et al., 2018).<br><br>References<br>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. &amp; 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.<br>McInerney, D., Thyer, M., Kavetski, D., Laugesen, R.,Woldemeskel, F., Tuteja, N. &amp; Kuczera, G. Improving the reliability of short-term forecasts of high and low flows by using a flow-dependent non-parametric model (under review).<br>Schepen, A., Zhao, T., Wang, Q. J. &amp; 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.<br>

本数据集包含经后处理的降雨回报（hindcast）预报数据，用于McInerney等人2021年的研究《基于流量依赖型非参数模型提升高低流量次季节预报可靠性》。
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-季节尺度版本1（Australian Community Climate Earth-System Simulator - Seasonal (ACCESS-S Version 1)）生成，相关研究详见Hudson等（2017）。
随后对ACCESS-S预报结果开展后处理，以降低预报偏差并提升可靠性，相关研究参见Schepen等（2018）。

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-季节尺度预报系统. 《南半球地球系统科学杂志》，67卷，132-159页。
2. McInerney, D., Thyer, M., Kavetski, D., Laugesen, R., Woldemeskel, F., Tuteja, N. & Kuczera, G. 基于流量依赖型非参数模型提升高低流量短期预报可靠性（正在同行评审）。
3. Schepen, A., Zhao, T., Wang, Q. J. & Robertson, D. E. 2018. 一种用于后处理全球气候模型日尺度次季节-季节降雨预报的贝叶斯建模方法及其在12个澳大利亚流域的评估. 《水文与地球系统科学》，22卷，1615-1628页。