NOAA/WDS Paleoclimatology - D'Arrigo - Klangon Natural Forest - TEGR - ITRDB INDO004

The Asian monsoon system affects more than half of humanity worldwide, yet the dynamical processes that govern its complex spatiotemporal variability are not sufficiently understood to model and predict its behavior, due in part to inadequate long-term climate observations. Here we present the Monsoon Asia Drought Atlas (MADA), a seasonally resolved gridded spatial reconstruction of Asian monsoon drought and pluvials over the past millennium, derived from a network of tree-ring chronologies. MADA provides the spatiotemporal details of known historic monsoon failures and reveals the occurrence, severity, and fingerprint of previously unknown monsoon megadroughts and their close linkages to large-scale patterns of tropical Indo-Pacific sea surface temperatures. MADA thus provides a long-term context for recent monsoon variability that is critically needed for climate modeling, prediction, and attribution.

亚洲季风系统影响着全球逾半数人口，然而支配其复杂时空变率的动力过程尚未得到充分认知，难以对其行为进行模拟与预测，部分原因在于长期气候观测数据的不足。在此我们推出亚洲季风干旱图集（Monsoon Asia Drought Atlas, MADA），该数据集基于树轮年表网络构建，实现了过去千年亚洲季风区干旱与洪涝事件的季节分辨率格点化空间重建。该图集不仅呈现了已记录的历史季风失效事件的时空细节，还揭示了此前未被发现的季风特大干旱事件的发生过程、严重程度与典型特征，并阐明了其与热带印度洋-太平洋大尺度海表温度格局的紧密关联。因此，亚洲季风干旱图集为近期季风变率提供了长期背景参考，这正是气候模拟、预测与归因分析所亟需的核心支撑。