TY - JOUR
T1 - Interannual-Decadal Hydroclimatic Variability in the Southern Himalaya Over the Past 500 Years
T2 - Mechanisms From MADA-PHYDA Integration
AU - Wang, Kexin
AU - Sinha, Ashish
AU - Li, Hanying
AU - Pérez-Mejías, Carlos
AU - Zhao, Jingyao
AU - Sun, Changfeng
AU - Cheng, Hai
N1 - Publisher Copyright:
© 2026 The Author(s). Journal of Geophysical Research: Atmospheres published by Wiley Periodicals LLC on behalf of American Geophysical Union.
PY - 2026/8/16
Y1 - 2026/8/16
N2 - Understanding the drivers of interannual-to-decadal hydroclimatic variability in the southern Himalaya (SH) has been constrained by the scarcity of long-term, spatially comprehensive proxy records and data assimilation products. Here, we combine the Monsoon Asia Drought Atlas (MADA) and the Paleo Hydrodynamics Data Assimilation (PHYDA) to investigate the SH hydroclimatic variability and its mechanisms over the last 500 years (1500–2000 CE). We find that the SH hydroclimate exhibits robust interannual (2–8 years) and multidecadal (50–60 years) variability. Interannual variability is strongly associated with the coupled negative phase of El Niño-Southern Oscillation (ENSO) and Indian Ocean Dipole, producing a hydroclimatic dipole with the Indian monsoon region that diverts moisture and induces drying in the SH. Our 500-year perspective suggests that the hydroclimatic teleconnection is non-stationary, with external forcing (such as solar minima and clustered volcanic eruptions) potentially modulating teleconnection stability in a complex, context-dependent manner. The 50–60-year cycle is linked to a combined Pacific climate pattern combining Pacific Decadal Variability (PDV) and tropical sea surface temperature anomalies, with positive PDV-La Niña phases favoring reduced regional moisture transport. SH hydroclimate is positively correlated with Yarlung Zangbo-Brahmaputra River (YZBR) runoff, with correlation coefficients (r) of 0.75 (upstream) and 0.53 (downstream) (p < 0.001). Notably, the early 21st-century aridification trend remains within the historical range, although its attribution requires consideration of both internal variability and external forcing. These findings enhance our understanding of SH hydroclimatic mechanisms and provide a paleoclimatic framework to support regional climate prediction and water resource management in the region.
AB - Understanding the drivers of interannual-to-decadal hydroclimatic variability in the southern Himalaya (SH) has been constrained by the scarcity of long-term, spatially comprehensive proxy records and data assimilation products. Here, we combine the Monsoon Asia Drought Atlas (MADA) and the Paleo Hydrodynamics Data Assimilation (PHYDA) to investigate the SH hydroclimatic variability and its mechanisms over the last 500 years (1500–2000 CE). We find that the SH hydroclimate exhibits robust interannual (2–8 years) and multidecadal (50–60 years) variability. Interannual variability is strongly associated with the coupled negative phase of El Niño-Southern Oscillation (ENSO) and Indian Ocean Dipole, producing a hydroclimatic dipole with the Indian monsoon region that diverts moisture and induces drying in the SH. Our 500-year perspective suggests that the hydroclimatic teleconnection is non-stationary, with external forcing (such as solar minima and clustered volcanic eruptions) potentially modulating teleconnection stability in a complex, context-dependent manner. The 50–60-year cycle is linked to a combined Pacific climate pattern combining Pacific Decadal Variability (PDV) and tropical sea surface temperature anomalies, with positive PDV-La Niña phases favoring reduced regional moisture transport. SH hydroclimate is positively correlated with Yarlung Zangbo-Brahmaputra River (YZBR) runoff, with correlation coefficients (r) of 0.75 (upstream) and 0.53 (downstream) (p < 0.001). Notably, the early 21st-century aridification trend remains within the historical range, although its attribution requires consideration of both internal variability and external forcing. These findings enhance our understanding of SH hydroclimatic mechanisms and provide a paleoclimatic framework to support regional climate prediction and water resource management in the region.
KW - hydroclimatic variability
KW - interannual-decadal oscillations
KW - MADA
KW - PHYDA
KW - Southern Himalaya
UR - https://www.scopus.com/pages/publications/105046180739
U2 - 10.1029/2026JD047598
DO - 10.1029/2026JD047598
M3 - 文章
AN - SCOPUS:105046180739
SN - 2169-897X
VL - 131
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
IS - 15
M1 - e2026JD047598
ER -