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Open AccessArticle

Effects of Climate Change on Precipitation and the Maximum Daily Temperature (Tmax) at Two US Military Bases with Different Present-Day Climates

Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
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Climate 2020, 8(2), 18; https://doi.org/10.3390/cli8020018
Received: 3 January 2020 / Revised: 16 January 2020 / Accepted: 20 January 2020 / Published: 22 January 2020
(This article belongs to the Special Issue Precipitation: Forecasting and Climate Projections)
In this study, the effects of climate change on precipitation and the maximum daily temperature (Tmax) at two USA locations that have different climates—the Travis Airforce Base (AFB) in California [38.27° N, 121.93° W] and Fort Bragg (FBR) in North Carolina [35.14 N, 79.00 W]—are analyzed. The effects of climate change on central tendency, tail distributions, and both auto- and cross-covariance structures in precipitation and Tmax fields for three time periods in the 21st century centered on the years 2020, 2050, and 2100 were analyzed. It was found that, on average, Tmax under the Representative Concentration Pathway (RCP) 4.5 emission scenario is projected to increase for the years 2020, 2050, and 2100 by 1.1, 2.0, and 2.2 °C, respectively, for AFB, and 0.9, 1.2, and 1.6 °C, respectively, for FBR, while under the RCP8.5 emission scenario Tmax will increase by 1.1, 1.9, and 2.7 °C, respectively, for AFB, and 0.1, 1.5, and 2.2 °C, respectively, for FBR. The climate change signal in precipitation is weak. The results show that, under different emission scenarios, events considered to be within 1% of the most extreme events in the past will become ~13–30 times more frequent for Tmax, ~and 0.05–3 times more frequent for precipitation in both locations. Several analytical methods were deployed in a sequence, creating an easily scalable framework for similar analyses in the future. View Full-Text
Keywords: extremes; LOCA; MLR; ensemble approach; quantile delta mapping (QDM); copula theory; generalized extreme value (GEV) theory; Monte Carlo simulations; correlated risk extremes; LOCA; MLR; ensemble approach; quantile delta mapping (QDM); copula theory; generalized extreme value (GEV) theory; Monte Carlo simulations; correlated risk
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MDPI and ACS Style

Tadić, J.M.; Biraud, S.C. Effects of Climate Change on Precipitation and the Maximum Daily Temperature (Tmax) at Two US Military Bases with Different Present-Day Climates. Climate 2020, 8, 18. https://doi.org/10.3390/cli8020018

AMA Style

Tadić JM, Biraud SC. Effects of Climate Change on Precipitation and the Maximum Daily Temperature (Tmax) at Two US Military Bases with Different Present-Day Climates. Climate. 2020; 8(2):18. https://doi.org/10.3390/cli8020018

Chicago/Turabian Style

Tadić, Jovan M.; Biraud, Sébastien C. 2020. "Effects of Climate Change on Precipitation and the Maximum Daily Temperature (Tmax) at Two US Military Bases with Different Present-Day Climates" Climate 8, no. 2: 18. https://doi.org/10.3390/cli8020018

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