NOAA/WDS Paleoclimatology - Solomina - Bystraya, Kamchatka - LAGM - ITRDB RUSS210

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.

亚洲季风系统影响全球超过半数的人口，但其调控复杂时空变率的动力过程尚未得到充分认知，无法实现对其变化行为的模拟与预测，这一现状在一定程度上源于长期气候观测数据的匮乏。在此，我们发布亚洲季风干旱图集（Monsoon Asia Drought Atlas，MADA）：该数据集基于树木年轮年表网络构建，实现了过去千年间亚洲季风区干旱与多雨事件的季节分辨率格点化空间重建。MADA不仅提供了已知历史季风衰竭事件的时空细节，还揭示了此前未被发现的季风特大干旱的发生情况、强度等级与特征指纹，并阐明了这类特大干旱与热带印度洋-太平洋海表温度大尺度模态的紧密关联。因此，MADA为近期季风变率研究提供了长期背景参考，这正是气候模拟、预测与归因研究亟需的核心支撑。