Temperature trend analysis and extreme high temperature prediction based on weighted Markov Model in Lanzhou
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-021-04711-y.pdf
Reference23 articles.
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3. Gocic M, Trajkovic S (2013) Analysis of changes in meteorological variables using Mann–Kendall and Sen’s slope estimator statistical tests in Serbia. Global Planet Change 100:172–182
4. Gong Z, Chen C, Ge X (2013) Risk prediction of low temperature in Nanjing city based on grey weighted Markov model. Nat Hazards 71(2):1159–1180
5. He Y, Zhang Y (2005) Climate change from 1960 to 2000 in the Lancang river valley, China. Mt Res Dev 25(4):341–348
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