Future changes in precipitation and temperature over the Yangtze River Basin in China based on CMIP6 GCMs

Atmospheric Research, Journal Year: 2021, Volume and Issue: 264, P. 105828 - 105828

Published: Aug. 25, 2021

Language: Английский

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Characteristics of the Summer Regional Precipitation Events in the Middle and Lower Yangtze River Basin and Associated Mechanisms

Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(3)

Published: Jan. 29, 2025

Abstract Based on the hourly rainfall gauge data and ERA5 reanalysis of 1980–2022, this study reveals characteristics regional precipitation events (RPEs) over middle lower Yangtze River basin (MLYRB) in summer associated mechanisms. Results show that RPEs contribute more than 60% total most MLYRB dominate morning diurnal peak, interannual variation, phased increasing trend for MLYRB. The mainly occurring under two monsoonal types with shear line (Type1 Type2; 91.4%) landfalling tropical cyclone type (Type3; 8.6%) higher occurrence probability southern/northern eastern synoptic a clear sub‐seasonal variation development East Asian monsoon, Type1, Type2, Type3 concentratively June to early July (78%), late (62%) August (81%), respectively. Meanwhile, RPE amount Type1 Type2 (Type3) exhibits predominant (afternoon) peak. during 1980–1999 (2000–2022) is contributed by together). reduced coverage rate hours weakened 2000–2022 compared 1980–1999. This provides new scientific reference differences different types.

Language: Английский

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A new perspective into the impact of renewable and nonrenewable energy consumption on environmental degradation in Argentina: a time–frequency analysis

Environmental Science and Pollution Research, Journal Year: 2021, Volume and Issue: 29(11), P. 16028 - 16044

Published: Oct. 12, 2021

Language: Английский

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Spatiotemporal characteristics and attribution of dry/wet conditions in the Weihe River Basin within a typical monsoon transition zone of East Asia over the recent 547 years

Environmental Modelling & Software, Journal Year: 2021, Volume and Issue: 143, P. 105116 - 105116

Published: June 22, 2021

Language: Английский

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Impact assessment of climate change and urbanization on the nonstationarity of extreme precipitation: A case study in an urban agglomeration in the middle reaches of the Yangtze river

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 85, P. 104038 - 104038

Published: July 3, 2022

Language: Английский

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Status and prospects for drought forecasting: opportunities in artificial intelligence and hybrid physical–statistical forecasting

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal Year: 2022, Volume and Issue: 380(2238)

Published: Oct. 23, 2022

Despite major improvements in weather and climate modelling substantial increases remotely sensed observations, drought prediction remains a challenge. After review of the existing methods, we discuss research gaps opportunities to improve prediction. We argue that current approaches are top-down, assuming process(es) and/or driver(s) known—i.e. starting with model then imposing it on observed events (reality). With help an experiment, show there develop bottom-up models—i.e. from reality (here, events) searching for model(s) work. Recent advances artificial intelligence machine learning provide significant developing forecasting models. Regardless type (e.g. learning, dynamical simulations, analogue based), need shift our attention robustness theories outputs rather than event-based verification. A focus towards quantifying stability uncertainty models, goodness fit or reproducing past, could be first step this goal. Finally, highlight advantages hybrid statistical models improving This article is part Royal Society Science+ meeting issue ‘Drought risk Anthropocene’.

Language: Английский

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Streamflow decline threatens water security in the upper Yangtze river

Journal of Hydrology, Journal Year: 2022, Volume and Issue: 606, P. 127448 - 127448

Published: Jan. 13, 2022

The annual streamflow in the upper Yangtze River (UYR) declined by 36.6 billion m3 from 1961 to 2015. However, contributions this decline different tributaries and underlying causes remain unclear. Here we quantify UYR impacts of climate change human activities using a distributed hydrological model statistical methods. Results show that increased upstream downstream regions. Combining simulation analysis, change, water consumption, reservoir impoundment human-induced vegetation on are estimated be 62.5%, 19.7%, 18.4% 1.8%, respectively. Specifically, consumption growth is consistent with spatial pattern population industrial development, impoundments mainly located middle lower parts mainstream. In Jialingjiang, tributary largest drainage area UYR, account for 63.6% decline, induced growth. Under growth, under stress (water resources available less than 1000 m3/capita/yr) increases Mintuojiang where major cities centralized density high. This study provides new perspective understanding status offers insights into sustainable utilization future.

Language: Английский

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The increase in extreme precipitation and its proportion over global land

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 628, P. 130456 - 130456

Published: Nov. 13, 2023

Language: Английский

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Investigation and development of a novel solar-biomass integrated energy system for clean electricity and liquid hydrogen production

Thermal Science and Engineering Progress, Journal Year: 2023, Volume and Issue: 42, P. 101925 - 101925

Published: May 26, 2023

Language: Английский

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Spatiotemporal Precipitation Trends and Associated Large-Scale Teleconnections in Northern Pakistan

Atmosphere, Journal Year: 2023, Volume and Issue: 14(5), P. 871 - 871

Published: May 15, 2023

The effects of climate change are unparalleled in magnitude, ranging from changing weather patterns that endanger food production to increasing sea levels increase the likelihood catastrophic flooding. Therefore, determining extent such variations on regional and local scales is imperative. We used monthly precipitation data 25 meteorological stations northern Pakistan (NP) document observed changes seasonal annual precipitation. station density NP small unevenly distributed; therefore, ERA-5 reanalysis were supplement dataset assess spatial trends NP. non-parametric Mann–Kendall (MK), Sen’s Slope estimator (SSE), Sequential (SQMK) tests performed trends. In addition, wavelet analysis technique was determine association with various oceanic indices 1960 2016. Results indicate maximum shown summer seasons. NP, annual, winter, spring, declined, while an autumn at a rate 0.43 mm/decade between 1989 for datasets almost similar autumn; however, some disagreement both during 1960–2016. Between 2016, increased significantly Region III. However, decreased Moreover, there no prominent until mid-1980s, but apparent 1985 onwards. Annual all elevations except 500–1000 m zone. ENSO (El Niño–Southern Oscillation) shared notable interannual coherences among above 16–64 months. Inter-decadal coherence ENSO, AO (Arctic Oscillation), PDO (Pacific Decadal 128 months above. Generally, AO, AMO (Atlantic Multidecadal NAO (North Atlantic exhibited less regression revealed winter spring had higher linear respectively, also dominated scale. Similarly, IOD influence findings may help water resource managers researchers develop contingency plan better management policies face Pakistan, particularly

Language: Английский

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