Global warming: What does the data tell us?



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Global warming: What does the data tell us? arxiv:physics/2195 v1 23 Oct 22 E. X. Albán and B. Hoeneisen Universidad San Francisco de Quito 19 February 22 Abstract We analyze global surface temperature data obtained at 13472 weather stations from the 172 to 199. The mean annual temperature of a station fluctuates from to by typically ±.6 o C (one standard deviation). Superimposed on this fluctuation is a linear increase of the temperature by typically.4±.1 o C per century ever since reliable data is available, i.e. since 172 (errors are statistical only, one standard deviation). The world population has doubled from 1952 to 199, yet we see no statistically significant acceleration of global warming in this period. We conclude that the effect of humankind on global warming up to 199 is. ±.1 o C. Therefore, contrary to popular belief, the data support the view that human activity has had no significant effect on global warming up to the 199 covered by this study. 1 Introduction We present a study of global warming based on the data obtained at 13472 weather stations covering the period from 172 to 199. In particular we are interested in finding the effect of human activity on global warming. Since the world population doubled from 1952 to 199, we search for any changes in the trend of global warming between the first and second halves of the 2 th century. The data used in this study is described in Section 2, the analysis is presented in Section 3 and the conclusions are collected in Section 4. 1

mean anual temperature [degrees C] 11 1 9 8 7 6 5 17 175 18 185 19 195 2 Figure 1: Mean annual temperature of station 6171384 in Germany. Raw data. a 1 =.27 ±.8 o C per century. 2 The data The temperature data set used in this analysis is The Global Historical Climatology Network (GHCN) version 2 released in 1997.[1] This data is a comprehensive global surface baseline climate data set designed for monitoring and detecting climate change. In particular we used the Adjusted Monthly Mean Temperature Data (in file v2.mean.adj) and the Raw Monthly Mean Temperature Data (in file v2.mean). Each station is labeled by a 12 digit code. 3 Discussion We define a valid for a particular station as a that has all twelve months with valid mean temperatures. We average these twelve monthly temperatures to obtain the mean annual temperature for that station. In Figures 1, 2 and 3 we present the mean annual temperatures T i of the three oldest stations using the Raw Monthly Mean Temperature Data set. In Figure 4 we present the corresponding temperatures of our home city Quito. 2

mean anual temperature [degrees C] 12 11 1 9 8 7 6 17 175 18 185 19 195 2 Figure 2: Mean annual temperature of station 633626 in the Netherlands. Raw data. a 1 =.46 ±.7 o C per century. We fit these temperatures to a straight line. The slopes a 1 for the period covered by the data are shown in the figure captions. All errors in this article are statistical and one standard deviation or 68% confidence. The high slope of the temperature measured in Quito may be due to the fact that the city grew around the weather station. Figure 5 presents global warming at-a-glance. This figure was obtained as follows. We consider stations that have the first valid less than or equal to 19 and the last valid greater than or equal to 199. Furthermore we require at least 85 valid s between 19 and 199 inclusive. We chose these stations to be able to make meaningfull comparisons of global warming between the first and second halves of the 2 th century. We define the reference temperature of a station to be the average temperature of valid s between 1945 and 1955 inclusive (so at least one valid in this interval is required). In Figure 5 we present the difference between the average temperature per 5 bin and the reference temperature, averaged over all stations in the Raw Monthly Mean Temperature Data set passing the selection criteria. In Figure 6 we present the corresponding information for the Adjusted Monthly Mean Temperature Data set. From these figures we see that the global temperature has been increasing 3

mean anual temperature [degrees C] 11.5 11 1.5 1 9.5 9 8.5 8 175 18 185 19 195 2 Figure 3: Mean annual temperature of station 64667 in Switzerland. Raw data. a 1 =.12 ±.6 o C per century. mean anual temperature [degrees C] 14 13.5 13 12.5 12 19 192 194 196 198 Figure 4: Mean annual temperature of station 368471 in Quito, Ecuador. Raw data. a 1 = 1.3 ±.2 o C per century. 4

T - T[195].5 -.5.5-2 -2.5-3 17 175 18 185 19 195 2 Figure 5: Temperature relative to 195 averaged over 5 bins and averaged over the 456 stations satisfying the selection criteria described in the text. Raw data. Errors are statistical, one standard deviation. a 1 =.4 ±.9 o C per century. See text for details. since the earliest measurements in 172. We see no acceleration of global warming in the second half of the 2 th century compared to the first half. The data shown in Figures 5 and 6 are dominated by stations in the USA as can be seen in Figure 7. However, the general conclusions, i.e. warming since the earliest measurements and no acceleration of the warming in the second half of the 2 th century, can be observed elsewhere as shown in Figures 8 to 11. 4 Conclusions The mean annual temperature of a station fluctuates from to by typically ±.6 o C (one standard deviation). Superimposed on this fluctuation is a linear increase of temperature by typically.4 ±.1 o C per century ever since reliable data is available, i.e. since 172, as shown in Figure 5. All errors are statistical only, one standard deviation. The world population has doubled from 1952 to 199 as seen in Figure 12, yet we see no statistically significant acceleration of global warming in that period: see Figures 5 to 11. We conclude that the effect of humankind on global warm- 5

T - T[195].5 -.5.5 184 186 188 19 192 194 196 198 2 Figure 6: Temperature relative to 195 averaged over 5 bins and averaged over the 377 stations satisfying the criteria described in the text. Adjusted data. Errors are statistical, one standard deviation. a 1 =.582 ±.1 o C per century. See text for details. ing up to 199 is. ±.1 o C. Therefore, contrary to popular belief, the data support the view that human activity has had no significant effect on global warming up to the 199 covered by this study. References [1] The Global Historical Climatology Network (GHCN) version 2 released in 1997. This data, reachable from http://www.ncdc.noaa.gov, is produced jointly by the National Climatic Data Center, Arizona State University, and the Carbon Dioxide Information Analysis Center at Oak Ridge National Laboratory. 6

T - T[195].5 -.5.5 184 186 188 19 192 194 196 198 2 Figure 7: Temperature relative to 195 averaged over 5 bins and averaged over the 247 stations in the USA satisfying the criteria described in the text. Adjusted data. a 1 =.462 ±.13 o C per century. T - T[195] 1.5 1.5 -.5.5-2 184 186 188 19 192 194 196 198 2 Figure 8: Temperature relative to 195 averaged over 5 bins and averaged over the 2 stations in Germany satisfying the criteria described in the text. Adjusted data. a 1 = 1.18 ±.13 o C per century. 7

T - T[195] 1.5 1.5 -.5.5-2 184 186 188 19 192 194 196 198 2 Figure 9: Temperature relative to 195 averaged over 5 bins and averaged over the 75 stations in Japan satisfying the criteria described in the text. Adjusted data. a 1 =.987 ±.22 o C per century. T - T[195].8.6.4.2 -.2 -.4 -.6 -.8.2 186 188 19 192 194 196 198 2 Figure 1: Temperature relative to 195 averaged over 5 bins and averaged over the 3 stations in the United Kingdom satisfying the criteria described in the text. Adjusted data. a 1 =.41 ±.8 o C per century. 8

T - T[195] 3 2 1-2 -3 186 188 19 192 194 196 198 2 Figure 11: Temperature relative to 195 averaged over 5 bins of the single station in Sweeden satisfying the criteria described in the text. Adjusted data. a 1 = 1.75 ±.3 o C per century. World population in millions 6 5 4 3 2 1 18 185 19 195 2 Figure 12: World population in millions (from data collected by the United Nations, except for the first two points which are estimates). 9