Snow cover detection using remote sensing techniques over different climate zones of Türkiye. [PDF]
Çakir G, Bozali N, Sivrikaya F.
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Detecting anthropogenically induced changes in extreme and seasonal evapotranspiration observations. [PDF]
Egli M, Sippel S, Knutti R, Humphrey V.
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Inequality in the Distribution and Utilization of Healthcare Resources in Kazakhstan (2002-2023): A Spatiotemporal Analysis. [PDF]
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Spatiotemporal Impacts of Forest Fires on Mountain Vegetation: A Case Study From Langtang National Park, Nepal Himalaya. [PDF]
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Response characteristics of near-surface air temperature to soil moisture across different climate zones in china. [PDF]
Lan L, Wang Z, He F.
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Multiple Şen-innovative trend analyses and partial Mann-Kendall test
Journal of Hydrology, 2018Abstract 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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The Mann-Kendall Test for Weather Forecasting in Smart Cities
Proceedings of the International Scientific Conference - Sinteza 2025: In smart cities, predicting and responding to the coming of severe weather is one of the most important advantages that can be gained from precise weather forecasting.
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The Mann-Kendall (MK) test is frequently used for trend detection in hydrological time series although its power has not been systematically studied under the influence of both missing data and aggregation of data (daily, monthly averages). We used Monte
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A modified Mann-Kendall trend test for autocorrelated data
Journal of Hydrology, 1998One 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.
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