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Volume 9 Journal of Earth Science & Climatic Change Climate Congress 2018
August 06-07, 2018
August 06-07, 2018 Osaka, Japan
4th World Congress on
Climate Change and Global Warming
Patterns of daily average US temperatures over the period 1975-2016
Suree Chooprateep and Weerinrada Wongrin
Chiang Mai University, Thailand
In this study, various statistical methods were used to analyze models of climatic variations of air surface temperatures in daily
average temperatures in the USA from 1975 to 2016. Average daily temperature data was obtained from the US National
Oceanic and Atmospheric Administration (NOAA). The temperatures collected from 115 stations in USA, over a period of
42 years were analyzed to account the temperature variability. Temperature data recorded on the leap years were omitted
in order to maintain equal observations for each year. To reduce the serial correlation between daily temperatures for each
station, the 5-day average temperature was compute and used in this study. For each station, the first model was fit for year
and 5-day average temperatures and the fitted models were displayed as the seasonal patterns. Next, factor analysis was applied
to account for spatial correlations and also to consolidate all stations into five regions, specifically West, North East, East,
South and South West regions. The classification from factor analysis can be explained 66.6% of the total variance. For each
region, the second model was fit for year and month variables and this model contains the year and month effects only. For five
regions, the average temperature in each month of year and annual temperature were estimated with 95% confidence interval.
The temperature patterns for all regions can be showed in the same graph. For each month of year the estimated minimum
temperatures in January were different among the regions. The temperature increased sharply from February to July, then
decreased from August to December. For the annual trend, the highest temperature was in the south region and the lowest
temperature was in the northeast region.
Biography
Suree Chooprateep has her expertise in Applied Statistics. She has experience in research and teaching applied statistics, time series analysis, statistical methods
and statistical analysis of data at the Department of Statistics, Chiang Mai University, Thailand. Her most recent research involves modeling of temperatures, such
as temperatures in Southeast Asia, sea surface temperatures of the North Atlantic Ocean and solar absorption by clouds in Australia. She continues to do research
related to modeling of temperatures in the United States and rainfall patterns in Thailand.
Suree Chooprateep et al., J Earth Sci Clim Change 2018, Volume 9
DOI: 10.4172/2157-7617-C3-045