Is the Climate Still Changing? |
Last Modified 7/10/2011 |
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| Some have said that the climate simply follows solar irradiance, claiming that no human influence on the climate is perceptible. Some have recently claimed that the climate is no longer getting warmer, that cooling has already started. We will use data collected over the last 30 years to examine these claims. We will find that the data shows problems with both of these claims. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Solar Irradiance vs. Global Surface Temperatures
Conclusion 1: Solar irradiance has not been the primary factor in Earth's climate changes in the last 30 years. This is evident in the climate getting warmer even while irradiance declines. Solar irradiance has contributed to the oscillations. This is evident in the narrow variance in the 11-year climate differential. |
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Analysis of Climate TrendsSince we know that the sun drives our climate, and that the sun has an 11 year cycle, we can borrow an analysis technique from signal processing called frequency rejection. This method will let us see clearer how the climate is changing without looking at the solar oscillation. The idea behind frequency rejection is simple: average the global temperatures over the 11 year solar cycle. This will cancel out the 11 year oscillation in the climate measure. |
For 1986 - 2007 data:
* A previous version had temperature projections. This section will be replaced on another page. New averages for determining anomalies are determined periodically. The data above is not calibrate to the new averages. |
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Monthly Data Above, we looked at an annual data set. Here we can evaluate some claims, and make predictions using a monthly data set.
A few problems are apparent in the way the graph was made. First, the graph starts at a record high, an outlier. The graph ends at the solar minimum - the lowest solar irradiance in over 30 years. Second, the graph focuses on short-term data and hides long-term trends. When we extend the graph in both directions, and plot a longer term moving average, we see rising not falling. More Data: Above we looked at an annual data set for the globe. Let's look at a 7.2 year integral of monthly data sets for the globe, land, and ocean.
We can use our 10.7 year integral (solar oscillation) and our 7.2 year integral (unknown oscillation) to analyze coming trends. If new temperatures are higher than typical highs (we pick 75 percentile) 10.7 and 7.2 years ago, then warming is occurring. If new temperatures are lower than typical lows (we pick 25 percentile) than 10.7 and 7.2 years ago, then cooling is occurring. Between those values temperatures are in a stable phase. Let's look at how this would play out.
Conclusions: In spite of some small declines this last decade, we still see more rising than falling. It is necessary to use long term trends and frequency rejection to analyze the data. We can use two identifiable oscillations to predict what ranges of future temperatures will indicate rise, and what range will indicate declines. |
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