Monsoon variability and its physical mechanisms under different paleo- and future climate conditions

他的项目的主要目标是更好地了解不同（过去，现在，未来）气候条件下季风变率的强迫机制，反馈和放大器。将用全球气候模式（COSMOS）和嵌入式区域气候模式（CLM）进行模拟和分析。这些模型产生了一个物理上一致的季风及其变化的图片。调查将在季节内至百年时间尺度上进行，重点是年际变化。将特别关注极端事件的发生、其发生条件、特征和影响，这些模拟结果将有助于改进模型预测。HIMPAC中生成的代理数据将用于验证模型结果，模型将用于检查多代理数据的一致性。对所涉过程的进一步了解将有助于更好地评估未来的气候变化状况，并能够更准确地估计其影响。

The main objective of his projects is the better understanding of forcing mechanisms, feedbacks and amplifiers concerning monsoon variability under different (past, present, future) climate conditions. Simulations with a global climate model (COSMOS) and with an imbedded regional climate model (CLM) will be performed and analysed. The models generate a physically consistent picture of the monsoon and its variability. The investigations will be carried out at intraseasonal to centennial time scales with an emphasis on interannual variability. Special focus will be laid on the occurrence of extreme events, their onset conditions, characteristics and impacts.The results of these simulations will help refine model predictions. They allow identifying large-scale conditions and teleconnections leading to extreme events.The proxy data generated within HIMPAC will be used to verify the model results, and the model will be used to check the consistency of the multi-proxy data. The advance in understanding the processes involved will lead to a better assessment of future climate change conditions and allows more accurately estimating their impacts.