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They initially used sunspot and temperature measurements from 1861 to 1989 and later extended the period using four centuries of climate records. Their reported relationship appeared to account for nearly 80 per cent of measured temperature changes over this period. The mechanism behind these claimed correlations was a matter of speculation.
[48] [22] A climate change denier generated a warming stripes graphic that misleadingly affixed Northern Hemisphere readings over one period to global readings over another period, and omitted readings for the most recent thirteen years, with some of the data being 29-year-smoothed—to give the false impression that recent warming is routine. [49]
The graph also shows the typical phenomenon of increased temperature ranges during winter. In Campinas, for example, the daily temperature range in July (the coolest month of the year) may typically vary between 10 and 24 °C (range of 14 °C), while in January, it may range between 20 and 30 °C (range of 10 °C).
For example, a climograph with a narrow range in temperature over the year might represent a location close to the equator, or alternatively a location adjacent to a large body of water exerting a moderating effect on the temperature range. Meanwhile, a wide range in annual temperature might suggest the opposite.
Travel-time curve is a graph showing the relationship between the distance from the epicenter to the observation point and the travel time. [2] [3] Travel-time curve is drawn when the vertical axis of the graph is the travel time and the horizontal axis is the epicenter distance of each observation point. [4] [5] [6] By examining the travel ...
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Global average temperature, atmospheric CO 2, and sunspot activity since 1850. Thick lines for temperature and sunspots represent a 25 year moving average smoothing of the raw data. This figure was produced by Leland McInnes using python and matplotlib and is licensed under the GFDL. All data is from publicly available sources.