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Change factors for the 2- to 100-year daily (24-hour) extreme rainfall storms for the Continental United States from downscaled climate projections

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DataCite Commons2020-08-25 更新2025-04-16 收录
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https://kilthub.cmu.edu/articles/Change_factors_for_the_2-_to_100-year_daily_24-hour_extreme_rainfall_storms_for_the_Continental_United_States_from_downscaled_climate_projections/12148932
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资源简介:
This dataset contains change factors for the 2- to 100-year daily (24-hour) extreme rainfall storms for the Continental United States from publicly available downscaled climate projections, namely BCCAv.2, LOCA, MACA and NA-CORDEX data sets. Change factors were estimated as the ratio between the historical (period between1950-2005) climate simulations of extreme rainfall and the future (period between 2044-2099) climate simulations of rainfall depths corresponding to the average recurrence interval (e.g. 2-, 5-year). These change factors were computed using the Generalized Extreme Value Distribution, which is widely used to describe rainfall extremes.<br>This data archive was prepared as part of the outputs of the published article Lopez‐Cantu, T., Prein, A. F., &amp; Samaras, C. (2020). Uncertainties in Future U.S. Extreme Precipitation from Downscaled Climate Projections. Geophysical Research Letters. https://doi.org/10.1029/2019GL086797. When using the data in this archive, citation must be given to the original article. <br>
提供机构:
Carnegie Mellon University
创建时间:
2020-04-17
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