Results 211 to 220 of about 28,749 (235)

A 3.5-fold increase in the synchrony of extreme precipitation and temperature events across China from 1930 to 2022. [PDF]

Sci Rep
Yu B, Li J, Shang S.
europepmc   +1 more source

Inequality in the Distribution and Utilization of Healthcare Resources in Kazakhstan (2002-2023): A Spatiotemporal Analysis. [PDF]

Int J Environ Res Public Health
Shaltynov A, Abenova M, Baibussinova A, Semenova Y, Omarov N, Tanatarova G, Sepbossynova A, Rocha J.   +7 more
europepmc   +1 more source

Multi-model analysis of drought at the global scale: differences in Hydrological drought between the first and the second part of the 20th Centrury [PDF]

Estifanos, S., Hazenberg, P., Huijgevoort, M.H.J., van, Lanen, H.A.J., van, Weedon, G.P.   +4 more
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MANN–KENDALL TREND DETECTION FOR PRECIPITATION AND TEMPERATURE IN BANGLADESH

International Journal of Big Data Mining for Global Warming, 2022
This study examined both long-term and short-term trends and fluctuations in rainfall and temperature over 34 meteorological stations located at seven regions in Bangladesh. Descriptive statistical analysis and Mann–Kendall trend test were utilized to investigate the variability of the rainfall and temperature of all stations in Bangladesh.
LIPON CHANDRA DAS, A. S. M. MOHIUL ISLAM, SANJIB GHOSH   +2 more
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Non-monotonic trend analysis using Mann–Kendall with self-quantiles

Theoretical and Applied Climatology, 2023
Recently, climate change makes itself felt at increasing levels due to rising temperatures, irregular precipitation patterns and changing weather events. Although the frequently used Mann-Kendall (MK) method has disadvantages such as needing serial independence, it helps to detect monotonic trends to investigate climate change effects on a given time ...
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A modified Mann-Kendall trend test for autocorrelated data

Journal of Hydrology, 1998
One of the commonly used tools for detecting changes in climatic and hydrologic time series is trend analysis. A number of statistical tests exist to assess the significance of trends in time series. One of the commonly used non-parametric trend tests is the Mann-Kendall trend test.
Khaled H. Hamed, A. Ramachandra Rao
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Block bootstrap for Mann–Kendall trend test of serially dependent data

Hydrological Processes, 2012
AbstractMann–Kendall (MK) test for trend detection must be modified when the data are serially correlated, to prevent the detection of false trends. Various approaches are developed for this purpose, such as prewhitening, trend‐free prewhitening, variance correction and block bootstrap. Each method has its own Type I and Type II errors.
Bihrat Önöz, Mehmetcik Bayazit
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Multiple Şen-innovative trend analyses and partial Mann-Kendall test

Journal of Hydrology, 2018
Abstract The climate change is an important event that affects hydrological, agricultural and water resources planning variables, and therefore, the hydrologists and meteorologists frequently try to identify trend possibilities especially in rainfall, runoff and temperature time series.
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