2017年1月1日 · This database will also help to assess the potential of current operational S2S systems to forecast the extreme events around the globe, which are discussed in the BAMS special report “Explaining Extreme Events of 2015 from a Climate Perspective,” and other events that have led to major humanitarian aid responses. Three important aspects of ...

2024年11月22日 · Accurate subseasonal (2–8 weeks) prediction of monsoon precipitation is crucial for mitigating flood and heatwave disasters caused by intraseasonal variability (ISV). However, current state-of-the-art subseasonal-to-seasonal (S2S) models have limited prediction skills beyond 1 week when predicting weekly precipitation.

2022年6月13日 · Focusing on 12 sectoral case studies spanning public health, agriculture, water resource management, renewable energy and utilities, and emergency management and response, we draw on recent advancements to explore their application and utility.

2023年2月28日 · S2S is a joint initiative of the World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP). The original S2S database is hosted at ECMWF as an extension of the TIGGE database”.

2024年11月17日 · 国际上对高技巧次季节预测的迫切需求，促使世界气候研究计划（wcrp）和世界气象研究计划（wwrp）共同发起了次季节-季节预测计划（s2s），计划在未来五年将核心目标转向预测应用，即服务农业与环境的sage。

2018年3月12日 · We provide evidence that S2S forecasts have the potential to predict the onset, evolution and decay of some large-scale extreme events several weeks ahead.

2016年6月21日 · Based on the potential for improved forecast skill at the sub-seasonal to seasonal time range, a sub-seasonal prediction (S2S) research project has been established by the World Weather Research...

68 study suggests that the S2S models underestimate significantly the amplitude of the Madden 69 Julian Oscillation (MJO) teleconnections over the Euro-Atlantic sector. The S2S database 70 represents also an important tool for case studies of extreme events. For instance, a multi-

2022年2月16日 · Compared to synoptic weather variability, the MJO has longer persistence and an oscillatory nature, highlighting the importance of MJO prediction for subseasonal-to-seasonal (S2S) predictions of climate and extreme weather events.

2022年12月24日 · The Madden–Julian Oscillation (MJO) is the dominant mode of tropical intraseasonal variability, which serves as a primary source of subseasonal-to-seasonal (S2S) predictability. Noticeably, MJO is not always a regularly recurring cycle but is characterized by discrete episodes.