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Can I read Long-Term Rainfall Trends and Future Projections over Xijiang River Basin, China on EtoBox?

Long-Term Rainfall Trends and Future Projections over Xijiang River Basin, China by Touseef, Muhammad; Chen, Lihua; Yang, Kaipeng; Chen, Yunyao is a Environmental Science article available to read on EtoBox.

What is Long-Term Rainfall Trends and Future Projections over Xijiang River Basin, China about?

Precipitation trend detection is vital for water resources development and decision support systems. This study predicts the climate change impacts on long-term precipitation trends. It deals with the analysis of observed historical (1960–2010) and arithmetic mean method in assembling precipitation from CMIP5 Global Climate Models (GCMs) datasets for a future period (2020–2099) under four emission scenarios. Daily precipitation data of 32 weather stations in the Xijiang River Basin were provided by National Meteorological Information Centre (NMIC) of the China Meteorological Administration (CMA) and Global Climate Models (GCMs) with all four emission scenarios statistically downscaled using Bias Correction Special Disaggregation (BCSD) and applied for bias correction via Climate Change Toolkit (CCT). Nonparametric Mann–Kendall test was applied for statistical significance trend analysis while the magnitude of the trends was determined by nonparametric Sen’s estimator method on a monthly scale to detect monotonic trends in annual and seasonal precipitation time series. The results showed a declined trend was observed for the past 50 years over the basin with negative values of MK te

Who reads Long-Term Rainfall Trends and Future Projections over Xijiang River Basin, China?

It is typically read by researchers, students, and practitioners in Environmental Science.

Author
Touseef, Muhammad; Chen, Lihua; Yang, Kaipeng; Chen, Yunyao
Publisher
Hindawi Limited; Hindawi Publishing Corporation; New York NY: Hindawi Pub. Corp.; London: Hindawi (ISSN 1687-9309)
Published
2020
Language
EN
Field
Environmental Science (Physical Sciences)

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