Reconstructing a long-term water storage-based drought index in the Yangtze River Basin

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 883, P. 163403 - 163403

Published: April 12, 2023

Language: Английский

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Soil Moisture to Runoff (SM2R): A Data‐Driven Model for Runoff Estimation Across Poorly Gauged Asian Water Towers Based on Soil Moisture Dynamics

Water Resources Research, Journal Year: 2023, Volume and Issue: 59(3)

Published: March 1, 2023

Abstract Almost 2 billion people depend on freshwater provided by the Asian water towers, yet long‐term runoff estimation is challenging in this high‐mountain region with a harsh environment and scarce observations. Most hydrologic models rely observed for calibration, have limited applicability poorly gauged towers. To overcome such limitations, here we propose novel data‐driven model, SM2R (Soil Moisture to Runoff), simulate monthly based soil moisture dynamics using reanalysis forcing data. The model was applied examined 20 drainage basins across seven towers during past four decades of 1981–2020. Without invoking any observations overall good performance SM2R‐derived (correlation coefficient ≥0.74 normalized root mean square error ≤0.22 compared at gauges) suggests considerable potential simulation basins. Even though forced ERA5‐Land (ERA5L) data, it largely outperforms ERA5L‐estimated particularly widely distributed glaciers frozen soil. approach highly promising constraining variables from information. Our results provide valuable insights not only over key basins, but also understanding processes regions globally.

Language: Английский

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Heterogeneity in Spatiotemporal Variability of High Mountain Asia's Runoff and Its Underlying Mechanisms

Water Resources Research, Journal Year: 2023, Volume and Issue: 59(7)

Published: June 26, 2023

Abstract High Mountain Asia (HMA) is the headwater area for major Asian rivers, providing a vast amount of freshwater to billions people in Asia. These rivers also make their surrounding areas highly vulnerable destructive water‐related disasters. However, complex spatiotemporal variability runoff over HMA and its underlying mechanisms are poorly understood. This study investigates into spatial heterogeneity HMA's at three timescales (interannual, interdecadal, multidecadal) roles played by climate conditions catchment properties. We find significant interannual multidecadal west central HMA, interdecadal east HMA. At timescales, tends be more dryer basins. The largely controlled variations, especially precipitation. properties, including groundwater storage glacier‐snow meltwater, play important regulating effect In particular, high contributions meltwater can weaken response precipitation timescales. space‐time patterns driven atmospheric drivers El Niño‐Southern Oscillation, Interdecadal Pacific Atlantic Multidecadal Oscillation across results this provide better understanding physical mechanisms, which have critical implications sustainable management effective risk mitigation densely populated ecologically region.

Language: Английский

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Reversal in snow mass trends on the Tibetan Plateau and their climatic causes

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 620, P. 129438 - 129438

Published: March 24, 2023

Language: Английский

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Monitoring spatio-temporal variations of terrestrial water storage changes and their potential influencing factors in a humid subtropical climate region of Southeast China

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 634, P. 131095 - 131095

Published: March 28, 2024

Identifying the changes in terrestrial water storage is essential for a comprehensive understanding of regional hydrological mass balance under global climate change. This study used partial least square regression model to fill observation gaps between GRACE and GRACE-FO obtained complete series anomaly data from April 2002 December 2020 southeast China. We investigated variations anomalies region influencing factors. The revealed that (TWS) have been increasing region, with an average increase 0.33 cm/yr (p < 0.01). intra-annual variation showed positive March September negative other months. Terrestrial increased most regions (especially central northern parts), whereas they decreased southern parts. In terms components, soil moisture (SMS) contributes 58.3 % surface (SWS, especially reservoirs storage) 41.4 TWS. also found precipitation explain approximately 71.7 variation, remaining 28.3 %. These results are cycle developing strategies management Southeast

Language: Английский

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Natural and human-induced decline and spatio-temporal differentiation of terrestrial water storage over the Lancang-Mekong River Basin

Journal of Geographical Sciences, Journal Year: 2025, Volume and Issue: 35(1), P. 112 - 138

Published: Jan. 1, 2025

Language: Английский

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China–India hydropolitics on the Brahmaputra: why do hard data need to dominate over existing rhetoric?

International Journal of Water Resources Development, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22

Published: Jan. 28, 2025

Language: Английский

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A century-long streamflow reconstruction reveals significant streamflow increases in the upper Yangtze River basin

CATENA, Journal Year: 2025, Volume and Issue: 250, P. 108774 - 108774

Published: Jan. 31, 2025

Language: Английский

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Five-Century monthly streamflow reconstruction of the upper Brahmaputra River reveals Historically frequent and intense Drought-Flood abrupt alternation events

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133195 - 133195

Published: March 1, 2025

Language: Английский

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Bridging Information From Paleo‐Hydrological and Climate Model Ensembles to Assess Long Term Hydrological Drought Hazard

AGU Advances, Journal Year: 2025, Volume and Issue: 6(2)

Published: April 1, 2025

Abstract Characterizing the evolution of drought frequency and severity under anthropogenic global warming remains a key challenge because mismatch between length instrumental records long‐term variability features. To address this gap, we propose modeling framework that combines river flow observations, paleo‐hydrological reconstructions, climate model simulations. Such diversity information, is bridged in flexible approach, allows evaluating hazard hydrological droughts for any large catchment globally. By focusing on specific case Alpine regions analyzing information contained an ensemble period 1100–2100, show that, compared to past nine centuries, mean annual Po River (Italy's main water course) may decrease by about 10% during 21st century, while duration are likely increase approximately 11% 12%, respectively. Future conditions match, or even exceed, driest Medieval Climate Anomaly different emissions scenarios. This indicates unprecedented coming decades, thus calling increased preparedness managing resources change.

Language: Английский

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