Moving statistic method (MSM) for quantification of changes in precipitation intensity and dry periods caused by climate change and demonstration on major U.S. cities
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Renewable Energy, Sustainability and the Environment
Link
https://link.springer.com/content/pdf/10.1007/s40899-023-00880-9.pdf
Reference108 articles.
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2. Ansa Thasneem S, Chithra NR (2021) Thampi SG (2021) Assessment of nonstationarity and uncertainty in precipitation extremes of a river basin under climate change. Environ Model Assess 26(3):295–312. https://doi.org/10.1007/s10666-021-09752-y
3. Bağçaci SÇ, Yucel I, Duzenli, E, Yilmaz MT. (2021). Intercomparison of the expected change in the temperature and the precipitation retrieved from CMIP6 and CMIP5 climate projections: A Mediterranean hot spot case, Turkey. Atmospheric Research, 256, 2021. https://doi.org/10.1016/j.atmosres.2021.105576
4. Beyene TK, Jain MK, Yadav BK (2022) Agarwal A (2022) Multiscale investigation of precipitation extremes over Ethiopia and teleconnections to large-scale climate anomalies. Stoch Env Res Risk Assess 36(5):1503–1519. https://doi.org/10.1007/s00477-021-02120-y
5. Bong CHJ, Richard J (2020) Drought and climate change assessment using standardized precipitation index (Spi) for sarawak river basin. J Water Clim Change 11(4):956–965. https://doi.org/10.2166/wcc.2019.036
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1. Precipitation trends of major world cities with implications for sustainable water infrastructure management;Sustainable Water Resources Management;2023-09-28
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