Cost of Energy Comparison, Including Levelized Cost of Energy (LCOE) - 2015 Update

I updated the list in a new post for the year of 2016. Please move to the post cited below.

Park, H. (2016). Cost of Energy Comparison, Including Levelized Cost of Energy (LCOE) - 2016 Update [Blog post]. Retrieved from http://j.mp/LCOE_2016

Female Thyroid Cancer Rates near Nuclear Power Plants

I think this is my third post about the risk of living near nuclear power plants. Previous two posts on this topic are:
(1) Exposure to Radiation Causes Birth Defects or Abnormal Sex Ratios http://j.mp/Dangerous_Nuclear
(2) Infant Cancer Rates near Nuclear Power Plants http://j.mp/Infants_vs_NPPs

Now, let's go back to female thyroid cancer. The study I am citing here is two years old. But I think the results could explain the peculiar increase in thyroid cancer incidents in South Korea. According to the study:

In South Korea,
“Thyroid cancer incidence in women in the exposed and Control-1 was as high as 2.5 and 1.8 times, respectively, than in Control-2 cohort. And the trend in risk was statistically significant (p for trend = 0.03).” (Ahn et al., 2012)
Note:
a. Exposed: the group living within a 5 km radius from the Nuclear Power Plants
b. Control-1: the inter-mediate proximity (5-30 km radius) group
c. Control-2: the far-distance (more than 30 km) group

It is NOT 2.5% or 1.8%, BUT 2.5 times and 1.8 times! If a woman is living within a 5 km radius from a nuclear power plant, she has 150% more possibility of getting thyroid cancer.

Thyroid cancer incidence among Korean females are definitely a serious concern. Let's see Table 1. Although the annual percentage change of overall cancer incidence was 5.4% over 1999-2011, that of thyroid cancer was unbelievably high 23.3%. If we are aware of the above study, researchers must find one of main causes of high thyroid cancer increase rate from the female patients' proximity to nuclear power plants.

Table 1. Trends in cancer incidence rates in females from 1999 to 2011 in Korea
Unit: Age-standardized incidence rate per 100,000

Site/Type	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	APC
All sites	61.1	157.4	169.0	174.6	184.3	193.4	207.8	16.4	232.0	249.0	263.0	273.6	286.2	5.4%
Bladder	1.6	1.6	1.7	1.7	1.8	1.7	1.7	1.6	1.7	1.6	1.6	1.5	1.5	-0.8%
Brain and CNS	2.6	2.5	2.5	2.4	2.5	2.6	2.8	2.7	2.9	2.7	2.6	2.7	2.4	0.3%
Breast	20.9	20.9	24.7	27.2	27.8	29.3	32.0	33.3	35.6	37.1	38.7	40.4	43.8	6.3%
Cervix uteri	16.3	15.1	15.8	14.8	14.2	13.1	12.4	12.2	11.1	11.5	10.6	10.8	10.1	-4.0%
Colon and rectum	16.4	16.4	17.9	18.8	20.5	21.5	23.0	24.1	24.5	25.1	26.3	26.0	26.4	4.5%
Corpus uteri	2.8	2.6	3.0	3.3	3.8	3.7	3.9	4.0	4.2	4.7	5.1	5.1	5.3	6.1%
Esophagus	0.6	0.6	0.6	0.5	0.6	0.5	0.4	0.5	0.5	0.5	0.4	0.4	0.4	-2.6%
Gallbladder	5.3	5.5	5.7	5.8	5.8	5.9	6.0	5.5	5.6	5.5	5.8	5.4	5.5	-0.1%
Hodgkin lymphoma	0.1	0.2	0.2	0.2	0.2	0.2	0.2	0.3	0.3	0.3	0.3	0.3	0.4	6.3%
Kidney	1.7	1.8	1.9	2.0	2.1	2.2	2.5	2.7	2.8	3.0	3.2	3.0	3.4	6.0%
Larynx	0.4	0.3	0.3	0.3	0.3	0.3	0.3	0.2	0.2	0.2	0.2	0.2	0.2	-7.6%
Leukemia	3.9	3.8	4.1	4.0	4.1	4.1	4.0	4.4	4.2	4.3	4.2	4.1	4.5	0.9%
Lip, oral cavity, and pharynx	1.6	2.4	1.7	1.7	1.7	1.9	1.9	1.8	1.9	1.9	1.8	2.2	2.1	1.2%
Liver	12.3	11.8	12.2	11.8	11.5	11.3	11.4	11.1	11.1	10.7	10.6	10.3	10.3	-1.5%
Lung	12.4	12.5	12.3	12.6	12.4	13.0	13.5	14.0	13.9	14.2	14.1	14.6	15.1	1.7%
Multiple myeloma	0.8	0.8	0.9	0.8	1.0	1.0	1.2	1.1	1.2	1.2	1.2	1.3	1.1	3.9%
Non-Hodgkin lymphoma	3.4	3.2	3.4	3.5	3.9	4.1	4.4	4.4	4.4	4.7	5.1	5.1	5.5	4.5%
Ovary	5.0	4.8	4.8	5.0	5.1	5.2	5.4	5.4	5.9	5.6	5.4	5.8	5.7	1.6%
Pancreas	4.0	4.0	4.0	4.2	4.5	4.5	4.7	4.7	4.8	4.9	4.9	5.0	5.1	2.2%
Stomach	26.7	25.2	26.2	26.3	25.9	24.7	26.8	25.1	24.8	25.1	25.7	25.2	25.1	-0.4%
Thyroid	10.4	10.1	13.2	16.2	21.8	29.5	35.3	43.3	55.6	69.4	80.6	88.6	96.8	23.3%
Other and ill-defined	11.8	11.5	11.8	11.5	12.8	13.1	13.9	14.1	14.8	14.9	14.8	15.5	15.7	3.0%

Source: Ahn et al. (2012)
Notes:
APC = annual percentage change (age-standardized)
CNS = central nervous system

Although there is no statistically significant evidence about overall cancer incident rate and proximity to nuclear power plants, I suspect that presence of nuclear power plants could be a clue how to explain Korea's skyrocketing cancer mortality, as manifested in the figure below. While the average OECD countries showed 15% decline in cancer mortality rates during the past two decades, South Korea showed 6% increase. It was the 2nd highest increase rate in the OECD.

According to an IAEA data, South Korea has the most number of nuclear reactors per unit land area (Table 2). Korean people have more chance of finding themselves living near a nuclear power plants than any other country in the world. South Korea might urgently need a comprehensive re-examination of the relationship between people's proximity to nuclear power plants and other kinds of cancer.

Maybe some people will ask a question,
"Why Belgium, the No. 2 country in terms of the reactor density per area in the world (Table 2), showed a decreasing cancer mortality rates in the figure below?"
I don't know. However, at least as for thyroid cancer, the country must be worried. In a recent study (Bollaerts et al., 2014), Belgian people living in the vicinity (20 km radius) of 3 nuclear sites (out of total 5 sites studied) have shown to have 15-47% more chance of getting thyroid cancer than the people living outside the radius. If the study has taken accounted for sex-specific incidence rates, female thyroid cancer rates might have been higher, I suspect.




Table 2. Reactors in operation, in long term shutdown, or under construction (as of December 31, 2013)

Country	Reactors in operation or long term shutdown	Reactors under construction	Total	Land area	Reactors per land area
	No. of units	N. of units	N. of units	km2	No. of units/ 1000 km2
Korea, South	23	5	28	97,100	0.2884
Belgium	7		7	30,280	0.2312
Taiwan	6	2	8	36,191	0.2210
Japan	49	2	51	364,500	0.1399
Switzerland	5		5	40,000	0.1250
Slovak Republic	4	2	6	48,091	0.1248
France	58	1	59	547,660	0.1077
Czech Republic	6		6	77,240	0.0777
United Kingdom	16		16	241,930	0.0661
Slovenia	1		1	20,140	0.0497
Hungary	4		4	90,530	0.0442
Armenia	1		1	28,480	0.0351
Netherlands	1		1	33,730	0.0296
Ukraine	15	2	17	579,320	0.0293
Germany	9		9	348,570	0.0258
Sweden	10		10	410,340	0.0244
United Arab Emirates	0	2	2	83,600	0.0239
Bulgaria	2		2	108,560	0.0184
Finland	4	1	5	303,900	0.0165
Spain	8		8	498,800	0.0160
United States	100	5	105	9,147,420	0.0115
India	21	6	27	2,973,190	0.0091
Romania	2		2	230,050	0.0087
Pakistan	3	2	5	770,880	0.0065
China	20	29	49	9,327,490	0.0053
Belarus	0	1	1	202,900	0.0049
World	436	72	508	129,710,379	0.0039
Russia	33	10	43	16,376,870	0.0026
Canada	19		19	9,093,510	0.0021
South Africa	2		2	1,213,090	0.0016
Argentina	2	1	3	2736690	0.0011
Mexico	2		2	1,943,950	0.0010
Iran	1		1	1,628,550	0.0006
Brazil	2	1	3	8,459,420	0.0004

Sources:
a. nuclear reactors: International Atomic Energy Agency (2014)
b. land area: The World Bank (2014)


References:

Ahn, Y.-O. et al. (2012). Cancer Risk in Adult Residents near Nuclear Power Plants in Korea - A Cohort Study of 1992-2010. Journal of Korean Medical Science, 27(9), 999-1008. [Full-text at http://dx.doi.org/10.3346/jkms.2012.27.9.999]

Bollaerts, K. et al. (2014). Thyroid cancer incidence in the vicinity of nuclear sites in Belgium, 2000–2008. Thyroid, 24(5), 906-917. [Full-text at http://dx.doi.org/10.1089/thy.2013.0227]

International Atomic Energy Agency. (2014). Nuclear Power Reactors in the World: 2014 Edition. Vienna, Austria: International Atomic Energy Agency. [Full-text at http://j.mp/NPRs_2014]

Jung, K.-W. et al. (2014). Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2011. Cancer Research and Treatment, 46(2), 109-123. [Full-text at http://dx.doi.org/10.4143/crt.2014.46.2.109]

OECD. (2013). Health at a Glance 2013: OECD Indicators. Paris, France: OECD Publishing. [Full-text at http://dx.doi.org/10.1787/health_glance-2013-en]

The World Bank. (2014). World Development Indicators 2014. Washington, DC: The World Bank. [Data at http://j.mp/WDI_Data]

Tracking Temperature Changes in Land-Surface, Air, and Sea-Water over 1753-2013

Today, a sudden curiosity struck me. How is global warming since the pre-industrial era?

Before introducing my figures and tables, I want to mention the IPCC's projections. The IPCC AR5 forecasts four different outcomes for global warming. Relative to the reference period of 1850−1900,  the global surface temperature had risen about 0.61 °C until 1986-2005 period. RCP2.6 is keeping the global warming below 2 °C by limiting the temperature rise at 1.61 °C. RCP8.5, the worst cast scenario, predicts the global warming could be 4.31 °C above the 1850-1900 average (Working Group I, 2013).

Currently, our world is walking the path of RCP8.5 (Le Quéré et al., 2014). It means that no climate policy is working. To make things worse, technology does not help the climate mitigation, either. A recent study revealed that the globally-welcomed technological breakthrough known as hydraulic fracturing (i.e., fracking) of shale gas might lower natural gas price but will fail to reduce global greenhouse gas emissions (McJeon et al., 2014). If we continue what we are doing now, the 2 °C goal would be shelved forever before the middle of this century.

Table 1. Global Mean Surface Temperature Change
(Relative to the reference period of 1850−1900)

Scenario	1986–2005	2046–2065	2081–2100
RCP2.6	0.61 °C	1.61 °C	1.61 °C
RCP4.5	0.61 °C	2.01 °C	2.41 °C
RCP6.0	0.61 °C	1.91 °C	2.81 °C
RCP8.5	0.61 °C	2.61 °C	4.31 °C

Source: Working Group I, 2013

Now, the following is my attempt to draw figures of long-term annual temperature changes. A recently launched global temperature database (Berkeley Earth, 2014) gave me a good time series data set for answering my question asked in the first sentence of this post. I tried to track down the trends of temperature in land-surface, air, and sea-water since before the Industrial Revolution.

There is a caveat, though. As I have explained in a previous post, temperature change estimates for any periods older than 1850 (in this case, 1753-1850) entail a high degree of uncertainties (You will understand what I mean by "uncertainties" when you see a graph below that shows a wide range of land-surface temperature fluctuations during the first century since the industrialization.). In addition to the annual recorded (or estimated) temperature data, therefore, I will calculate the range of global warming compared to the average temperature of 1851-1880 period. After the graphs, I will copy the data table for anyone interested in specific numbers (Table 3).

Land-surface temperature has shown the largest change among the three series. The global land-surface temperature rose from 7.874 °C in 1753 to 9.622 °C in 2013. It is a warming of 1.456 °C above the 1851-1880 average (8.166 °C).

However, most of our discussion about climate change is about atmospheric temperature. The temperature of air above sea-ice has warmed  from 14.330 °C in 1850 to 15.331 °C in 2013, which is 0.860 °C warmer than the 1851-1880 average (14.471 °C). If the world wants to keep the warming below 2 °C above the pre-industrial level, there is only a 1.140 °C margin remaining. In fact, the IPCC Working Group I's Fifth Assessment Report (AR5) stated that the globally averaged combined land and ocean surface temperature showed a warming of 0.85 °C over the period 1880 to 2012.

In addition, there might be some people who wonder if this data set shows an evidence of the global warming hiatus since 1998. (Trenberth, 2015). I made a comparison table for them, below. It seems that there was no such "hiatus" since 1998, although the latest 6 years were slightly cooler than the latest 11 years. Recent studies (e.g., Miller et al., 2014) are listing several reasons for the discrepancies between climate model (CMIP5) forecasts and actual temperature changes. They are (1) less solar radiation than the models estimated, (2) more effects from aerosols than the model simulation results, (3) a bias in the observations due to less data from the arctic regions than other regions, and (4) effects from ENSO (El Niño Southern Oscillation).

Table 2. Detecting a Likely Hiatus in Global Warming in Recent Years

Period		1851-1880	1981-2010	1998-2013	2003-2013	2008-2013
Average Temperature (°C)	Land-Surface	8.166	9.246	9.530	9.576	9.567
	Air	14.471	15.121	15.296	15.324	15.314
	Water	15.028	15.636	15.794	15.820	15.813
Anomaly relative to the 1851-1880 average (°C)	Land-Surface	0.000	1.079	1.364	1.410	1.401
	Air	0.000	0.650	0.825	0.853	0.843
	Water	0.000	0.608	0.766	0.792	0.785

Table 3. Historical Warming since Pre-Industrial Era

Year	Estimated Temperature (°C)			Annual Anomaly (°C) (Relative to the 1851-1880 average)
	Land-Surface (1753-2013)	Air above Sea-Ice (1850-2013)	Water below Sea-Ice (1850-2013)	Land-Surface (1753-2013)	Air above Sea-Ice (1850-2013)	Water below Sea-Ice (1850-2013)
1753	7.874			-0.292
1754	7.995			-0.171
1755	7.848			-0.318
1756	8.333			0.167
1757	8.465			0.299
1758	6.181			-1.985
1759	7.359			-0.807
1760	6.648			-1.518
1761	8.199			0.033
1762	7.980			-0.186
1763	7.083			-1.083
1764	8.360			0.194
1765	8.326			0.160
1766	8.428			0.262
1767	8.455			0.289
1768	6.988			-1.178
1769	7.957			-0.209
1770	7.854			-0.312
1771	8.061			-0.105
1772	8.308			0.142
1773	8.326			0.160
1774	8.840			0.674
1775	9.092			0.926
1776	8.139			-0.027
1777	7.952			-0.214
1778	8.177			0.011
1779	8.589			0.423
1780	9.372			1.206
1781	8.207			0.041
1782	7.968			-0.198
1783	7.835			-0.331
1784	8.051			-0.115
1785	7.532			-0.634
1786	8.498			0.332
1787	8.257			0.091
1788	8.677			0.511
1789	8.529			0.363
1790	8.138			-0.028
1791	8.344			0.178
1792	8.168			0.002
1793	8.334			0.168
1794	8.607			0.441
1795	8.537			0.371
1796	8.482			0.316
1797	8.699			0.533
1798	8.882			0.716
1799	8.683			0.517
1800	8.654			0.488
1801	8.740			0.574
1802	8.758			0.592
1803	8.598			0.432
1804	8.910			0.744
1805	8.649			0.483
1806	8.507			0.341
1807	8.356			0.190
1808	7.696			-0.470
1809	7.176			-0.990
1810	7.085			-1.081
1811	7.022			-1.144
1812	7.152			-1.014
1813	7.841			-0.325
1814	7.691			-0.475
1815	7.352			-0.814
1816	7.066			-1.100
1817	7.096			-1.070
1818	7.959			-0.207
1819	7.497			-0.669
1820	7.716			-0.450
1821	8.135			-0.031
1822	8.259			0.093
1823	7.768			-0.398
1824	8.605			0.439
1825	8.442			0.276
1826	8.412			0.246
1827	8.779			0.613
1828	8.190			0.024
1829	7.999			-0.167
1830	8.585			0.419
1831	7.699			-0.467
1832	7.477			-0.689
1833	8.031			-0.135
1834	8.226			0.060
1835	7.462			-0.704
1836	7.646			-0.520
1837	7.354			-0.812
1838	7.482			-0.684
1839	7.654			-0.512
1840	7.808			-0.358
1841	7.704			-0.462
1842	8.034			-0.132
1843	8.211			0.045
1844	7.678			-0.488
1845	7.898			-0.268
1846	8.587			0.421
1847	8.110			-0.056
1848	8.016			-0.150
1849	8.037			-0.129
1850	7.909	14.330	14.898	-0.257	-0.141	-0.130
1851	8.189	14.495	15.045	0.023	0.024	0.017
1852	8.111	14.489	15.048	-0.055	0.018	0.020
1853	8.066	14.439	14.997	-0.100	-0.032	-0.031
1854	8.229	14.502	15.052	0.063	0.031	0.024
1855	8.183	14.543	15.104	0.017	0.072	0.076
1856	8.070	14.338	14.905	-0.096	-0.133	-0.123
1857	7.825	14.235	14.809	-0.341	-0.236	-0.219
1858	8.157	14.378	14.936	-0.009	-0.093	-0.092
1859	8.302	14.439	14.989	0.136	-0.032	-0.039
1860	8.017	14.371	14.929	-0.149	-0.100	-0.099
1861	7.915	14.310	14.871	-0.251	-0.161	-0.157
1862	7.596	14.210	14.790	-0.570	-0.261	-0.238
1863	8.176	14.449	15.010	0.010	-0.022	-0.018
1864	8.004	14.381	14.940	-0.162	-0.090	-0.088
1865	8.196	14.482	15.039	0.030	0.011	0.011
1866	8.307	14.535	15.095	0.141	0.064	0.067
1867	8.433	14.559	15.103	0.267	0.088	0.075
1868	8.220	14.572	15.133	0.054	0.101	0.105
1869	8.388	14.565	15.108	0.222	0.094	0.080
1870	8.189	14.486	15.038	0.023	0.015	0.010
1871	8.076	14.475	15.039	-0.090	0.004	0.011
1872	8.141	14.488	15.044	-0.025	0.017	0.016
1873	8.303	14.528	15.082	0.137	0.057	0.054
1874	8.419	14.449	14.987	0.253	-0.022	-0.041
1875	7.852	14.398	14.965	-0.314	-0.073	-0.063
1876	8.042	14.378	14.939	-0.124	-0.093	-0.089
1877	8.496	14.767	15.314	0.330	0.296	0.286
1878	8.826	14.855	15.390	0.660	0.384	0.362
1879	8.141	14.542	15.102	-0.025	0.071	0.074
1880	8.116	14.471	15.035	-0.050	0.000	0.007
1881	8.297	14.561	15.116	0.131	0.090	0.088
1882	8.152	14.504	15.078	-0.014	0.033	0.050
1883	8.037	14.435	14.994	-0.129	-0.036	-0.034
1884	7.830	14.277	14.863	-0.336	-0.194	-0.165
1885	7.956	14.295	14.876	-0.210	-0.176	-0.152
1886	7.991	14.276	14.853	-0.175	-0.195	-0.175
1887	7.953	14.252	14.839	-0.213	-0.219	-0.189
1888	8.118	14.449	15.017	-0.048	-0.022	-0.011
1889	8.354	14.573	15.133	0.188	0.102	0.105
1890	8.011	14.284	14.860	-0.155	-0.187	-0.168
1891	8.055	14.396	14.967	-0.111	-0.075	-0.061
1892	8.097	14.353	14.910	-0.069	-0.118	-0.118
1893	8.085	14.386	14.938	-0.081	-0.085	-0.090
1894	8.200	14.380	14.940	0.034	-0.091	-0.088
1895	8.194	14.438	14.996	0.028	-0.033	-0.032
1896	8.303	14.566	15.130	0.137	0.095	0.102
1897	8.382	14.562	15.114	0.216	0.091	0.086
1898	8.229	14.357	14.917	0.063	-0.114	-0.111
1899	8.414	14.508	15.064	0.248	0.037	0.036
1900	8.543	14.627	15.170	0.377	0.156	0.142
1901	8.581	14.552	15.098	0.415	0.081	0.070
1902	8.315	14.411	14.975	0.149	-0.060	-0.053
1903	8.266	14.309	14.862	0.100	-0.162	-0.166
1904	8.114	14.276	14.829	-0.052	-0.195	-0.199
1905	8.264	14.425	14.978	0.098	-0.046	-0.050
1906	8.446	14.511	15.063	0.280	0.040	0.035
1907	8.000	14.334	14.898	-0.166	-0.137	-0.130
1908	8.218	14.310	14.854	0.052	-0.161	-0.174
1909	8.214	14.253	14.811	0.048	-0.218	-0.217
1910	8.257	14.280	14.841	0.091	-0.191	-0.187
1911	8.218	14.258	14.799	0.052	-0.213	-0.229
1912	8.202	14.340	14.898	0.036	-0.131	-0.130
1913	8.335	14.374	14.932	0.169	-0.097	-0.096
1914	8.633	14.547	15.098	0.467	0.076	0.070
1915	8.636	14.610	15.165	0.470	0.139	0.137
1916	8.275	14.366	14.923	0.109	-0.105	-0.105
1917	8.062	14.267	14.834	-0.104	-0.204	-0.194
1918	8.167	14.413	14.985	0.001	-0.058	-0.043
1919	8.420	14.490	15.029	0.254	0.019	0.001
1920	8.379	14.504	15.046	0.213	0.033	0.018
1921	8.588	14.581	15.120	0.422	0.110	0.092
1922	8.422	14.485	15.026	0.256	0.014	-0.002
1923	8.443	14.504	15.040	0.277	0.033	0.012
1924	8.523	14.521	15.056	0.357	0.050	0.028
1925	8.549	14.561	15.108	0.383	0.090	0.080
1926	8.749	14.704	15.256	0.583	0.233	0.228
1927	8.554	14.590	15.137	0.388	0.119	0.109
1928	8.664	14.604	15.146	0.498	0.133	0.118
1929	8.269	14.427	14.982	0.103	-0.044	-0.046
1930	8.650	14.653	15.185	0.484	0.182	0.157
1931	8.745	14.704	15.239	0.579	0.233	0.211
1932	8.736	14.664	15.202	0.570	0.193	0.174
1933	8.372	14.480	15.030	0.206	0.009	0.002
1934	8.668	14.622	15.167	0.502	0.151	0.139
1935	8.551	14.587	15.140	0.385	0.116	0.112
1936	8.587	14.639	15.185	0.421	0.168	0.157
1937	8.713	14.800	15.315	0.547	0.329	0.287
1938	8.884	14.801	15.312	0.718	0.330	0.284
1939	8.779	14.771	15.318	0.613	0.300	0.290
1940	8.790	14.869	15.385	0.624	0.398	0.357
1941	8.788	14.844	15.397	0.622	0.373	0.369
1942	8.758	14.804	15.340	0.592	0.333	0.312
1943	8.776	14.839	15.356	0.610	0.368	0.328
1944	8.869	14.942	15.462	0.703	0.471	0.434
1945	8.598	14.804	15.342	0.432	0.333	0.314
1946	8.698	14.737	15.276	0.532	0.266	0.248
1947	8.819	14.824	15.321	0.653	0.353	0.293
1948	8.766	14.724	15.274	0.600	0.253	0.246
1949	8.608	14.690	15.233	0.442	0.219	0.205
1950	8.384	14.612	15.149	0.218	0.141	0.121
1951	8.646	14.788	15.322	0.480	0.317	0.294
1952	8.662	14.851	15.375	0.496	0.380	0.347
1953	8.897	14.917	15.434	0.731	0.446	0.406
1954	8.583	14.718	15.242	0.417	0.247	0.214
1955	8.653	14.666	15.189	0.487	0.195	0.161
1956	8.305	14.596	15.119	0.139	0.125	0.091
1957	8.758	14.845	15.386	0.592	0.374	0.358
1958	8.800	14.845	15.395	0.634	0.374	0.367
1959	8.760	14.819	15.354	0.594	0.348	0.326
1960	8.608	14.773	15.304	0.442	0.302	0.276
1961	8.828	14.850	15.393	0.662	0.379	0.365
1962	8.772	14.807	15.338	0.606	0.336	0.310
1963	8.889	14.848	15.391	0.723	0.377	0.363
1964	8.437	14.574	15.127	0.271	0.103	0.099
1965	8.555	14.673	15.208	0.389	0.202	0.180
1966	8.628	14.741	15.279	0.462	0.270	0.251
1967	8.727	14.780	15.307	0.561	0.309	0.279
1968	8.544	14.723	15.278	0.378	0.252	0.250
1969	8.622	14.861	15.402	0.456	0.390	0.374
1970	8.738	14.791	15.347	0.572	0.320	0.319
1971	8.643	14.674	15.216	0.477	0.203	0.188
1972	8.543	14.767	15.310	0.377	0.296	0.282
1973	8.988	14.867	15.418	0.822	0.396	0.390
1974	8.510	14.649	15.183	0.344	0.178	0.155
1975	8.779	14.703	15.252	0.613	0.232	0.224
1976	8.393	14.597	15.147	0.227	0.126	0.119
1977	8.895	14.894	15.426	0.729	0.423	0.398
1978	8.738	14.771	15.317	0.572	0.300	0.289
1979	8.771	14.858	15.428	0.605	0.387	0.400
1980	9.027	14.977	15.504	0.861	0.506	0.476
1981	9.206	15.024	15.529	1.040	0.553	0.501
1982	8.687	14.806	15.358	0.521	0.335	0.330
1983	9.073	14.996	15.535	0.907	0.525	0.507
1984	8.736	14.831	15.359	0.570	0.360	0.331
1985	8.704	14.817	15.357	0.538	0.346	0.329
1986	8.887	14.866	15.401	0.721	0.395	0.373
1987	9.047	15.005	15.543	0.881	0.534	0.515
1988	9.245	15.053	15.571	1.079	0.582	0.543
1989	8.965	14.930	15.457	0.799	0.459	0.429
1990	9.277	15.120	15.644	1.111	0.649	0.616
1991	9.218	15.103	15.613	1.052	0.632	0.585
1992	8.871	14.920	15.468	0.705	0.449	0.440
1993	8.906	14.955	15.482	0.740	0.484	0.454
1994	9.076	15.004	15.550	0.910	0.533	0.522
1995	9.382	15.151	15.652	1.216	0.680	0.624
1996	9.070	15.050	15.537	0.904	0.579	0.509
1997	9.234	15.191	15.726	1.068	0.720	0.698
1998	9.552	15.342	15.840	1.386	0.871	0.812
1999	9.317	15.107	15.612	1.151	0.636	0.584
2000	9.232	15.127	15.623	1.066	0.656	0.595
2001	9.445	15.264	15.777	1.279	0.793	0.749
2002	9.595	15.341	15.838	1.429	0.870	0.810
2003	9.542	15.326	15.834	1.376	0.855	0.806
2004	9.356	15.230	15.769	1.190	0.759	0.741
2005	9.730	15.408	15.888	1.564	0.937	0.860
2006	9.546	15.353	15.818	1.380	0.882	0.790
2007	9.761	15.361	15.835	1.595	0.890	0.807
2008	9.458	15.221	15.726	1.292	0.750	0.698
2009	9.523	15.334	15.829	1.357	0.863	0.801
2010	9.724	15.404	15.897	1.558	0.933	0.869
2011	9.543	15.281	15.770	1.377	0.810	0.742
2012	9.530	15.312	15.801	1.364	0.841	0.773
2013	9.622	15.331	15.853	1.456	0.860	0.825

References:

Berkeley Earth. (2014). Time Series Data. [Data at http://berkeleyearth.org/data]

Le Quéré, C. et al. (2014). Global Carbon Budget 2014. Earth System Science Data Discussions, (In Review). [Full-text at http://dx.doi.org/10.5194/essdd-7-521-2014; Data at http://cdiac.ornl.gov/GCP/]

McJeon, H. et al. (2014). Limited impact on decadal-scale climate change from increased use of natural gas. Nature (In Press; advance online publication). [Full-text at http://dx.doi.org/10.1038/nature13837]

Miller, R. L. et al. (2014). CMIP5 historical simulations (1850–2012) with GISS ModelE2. Journal of Advances in Modeling Earth Systems, 6(2), 441-477. [Full-text at http://dx.doi.org/10.1002/2013MS000266]

Trenberth, K. E. (2015). Has there been a hiatus? Science, 349(6249), 691-692. [Full-text at http://dx.doi.org/10.1126/science.aac9225]

Working Group I. (2013). Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Bern, Switzerland: IPCC Working Group I. [Full-text at http://j.mp/WG1AR5]