Results 231 to 240 of about 29,649 (269)

High-resolution forecasting of soil thermal regimes using different deep learning frameworks under climate change. [PDF]

Sci Rep
Saeidinia M, Haghiabi AH, Nazeri Tahroudi M, Nasrolahi A, De Michele C.   +4 more
europepmc   +1 more source

Do pastoral and agro-pastoral perceptions align with observed climate extremes? Evidence from the Koh-e-Suleiman Range, Pakistan. [PDF]

Sci Rep
Tareen WUH, Schlecht E.
europepmc   +1 more source

Beyond a buzzword: the need for shared language, education, and enhanced reporting of disability inclusive co-design research. [PDF]

Res Involv Engagem
Chapman K, Yi J, Norwood M, Clanchy K, Carlini J, Shirota C, Mann M, Mitchell J, Kendall E.   +8 more
europepmc   +1 more source

Policy-driven carbon sink enhancement in dryland cities: a case study of Urumqi, a core city on China's New Silk Road. [PDF]

Sci Rep
Zhang W, Baidourela A, Ma F, Xiaokelati J, Yang G, Sun Q, Wang S.   +6 more
europepmc   +1 more source

[Labor and social repercussions on the quality of life of breast cancer survivors]. [PDF]

Aten Primaria
Palacín-Melús SE, López-Salas M, Yanes-Roldán A, Bernal-Bernal R, Melús-Palazón E, Bartolomé-Moreno C.   +5 more
europepmc   +1 more source

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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
exaly   +2 more sources

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.
Yavuz Selim Güçlü
exaly   +2 more sources

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 Onoz
exaly   +2 more sources

Exact distribution of the Mann–Kendall trend test statistic for persistent data

Journal of Hydrology, 2009
The distribution-free Mann-Kendall test is widely used for the assessment of significance of trends in many hydrologic and climatic time series. Previous studies have suggested both exact and approximate formulas for the calculation of the variance of the test statistic when the data are serially correlated.
Khaled H Hamed
exaly   +2 more sources

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
openaire   +1 more source