Solar Spectral Solar Spectral Irradiance Variability Irradiance - - PowerPoint PPT Presentation

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Solar Spectral Solar Spectral Irradiance Variability Irradiance - - PowerPoint PPT Presentation

Solar Spectral Solar Spectral Irradiance Variability Irradiance Variability By: Thomas Zimmermann By: Thomas Zimmermann Mentors: Tom and Jerry Mentors: Tom and Jerry Woods Harder Woods Harder What will be discussed? What will be


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SLIDE 1

Solar Spectral Solar Spectral Irradiance Variability Irradiance Variability

By: Thomas Zimmermann By: Thomas Zimmermann Mentors: Tom and Jerry Mentors: Tom and Jerry Woods Harder Woods Harder

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SLIDE 2

What will be discussed? What will be discussed?

  • Why is SSI Variability important?

Why is SSI Variability important?

  • What are the goals for my project?

What are the goals for my project?

  • Where does all this data come from?

Where does all this data come from?

  • What are normal variations?

What are normal variations?

  • How to find the days of interest?

How to find the days of interest? Spoiler Alert! Spoiler Alert!

  • The Data!

The Data!

  • What we can learn from the data, and what is next?

What we can learn from the data, and what is next?

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SLIDE 3

Why Study It? Why Study It?

The Sun gives us the energy The Sun gives us the energy needed to support life. needed to support life. Any change in the sun leads to Any change in the sun leads to changes here on earth changes here on earth… … sometimes drastic. sometimes drastic. Not only can the sun disable Not only can the sun disable electronic services and electronic services and damage transformers damage transformers… … Long term changes in Solar Long term changes in Solar Activity can affect our climate. Activity can affect our climate.

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SLIDE 4

Maunder Minimum Maunder Minimum

This uncharacteristically This uncharacteristically long period of solar long period of solar minimum has been minimum has been attributed to a very attributed to a very cold period in Europe. cold period in Europe. Europe saw several Europe saw several rivers freeze over that rivers freeze over that haven haven’ ’t since. t since. An estimate of the An estimate of the average global average global temperature decrease temperature decrease is 0.3º-0.4ºC. is 0.3º-0.4ºC. This leads to about 1º- This leads to about 1º- 2ºC cooler winters in 2ºC cooler winters in Europe Europe [ [Shindell Shindell, Drew et , Drew et al.,2001] al.,2001]

Courtesy: Davison Soper’s ‘Sunspot Cycle’

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SLIDE 5

The Temperature Relation to TSI The Temperature Relation to TSI

(Total Solar Irradiance) (Total Solar Irradiance)

  • According to an estimate from George Reid

According to an estimate from George Reid’ ’s paper s paper ‘ ‘Solar variability and its implications for the human Solar variability and its implications for the human environment environment’ ’, the average global temperature relation to , the average global temperature relation to irradiance change is about 0.6°C per 1% irradiance irradiance change is about 0.6°C per 1% irradiance

  • variation. However, the temperature adjustment can be
  • variation. However, the temperature adjustment can be

delayed due to the ocean delayed due to the ocean’ ’s thermal inertia. s thermal inertia.

  • That means the change in average global temperature of

That means the change in average global temperature of 0.3°C, as approximated for the Maunder Minimum, 0.3°C, as approximated for the Maunder Minimum, would be equivalent to a 0.5% drop in TSI. would be equivalent to a 0.5% drop in TSI.

  • It is important to note that the 1% variation does not

It is important to note that the 1% variation does not have to be constant over the entire spectrum, and that it have to be constant over the entire spectrum, and that it may even be over only a small section of the spectrum. may even be over only a small section of the spectrum. (Assuming the section makes up at least 1% of the TSI) (Assuming the section makes up at least 1% of the TSI)

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SLIDE 6

Goals for this Project Goals for this Project

  • In studying the SSI variability, we hope to have a better

In studying the SSI variability, we hope to have a better understanding of how much the SSI affects the TSI. understanding of how much the SSI affects the TSI.

  • With an understanding of how SSI relates to TSI in

With an understanding of how SSI relates to TSI in Facular Brightening (to be described next slide) cases, Facular Brightening (to be described next slide) cases, we can determine how the SSI would vary if it we can determine how the SSI would vary if it

  • disappeared. From that, it might be possible to described
  • disappeared. From that, it might be possible to described

what happened during the Maunder Minimum. what happened during the Maunder Minimum.

  • It is preferred to use SSI over TSI for this estimate

It is preferred to use SSI over TSI for this estimate because the sun doesn because the sun doesn’ ’t vary consistently over all t vary consistently over all

  • wavelengths. Instead it is likely limited spectral ranges
  • wavelengths. Instead it is likely limited spectral ranges

that vary more. that vary more.

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SLIDE 7

Rather than TSI Rather than TSI… …

Instead of the TSI varying, a part of the decrease in solar irradiance is Instead of the TSI varying, a part of the decrease in solar irradiance is a lessening of the active network. a lessening of the active network. Worden et al. (ApJ,1999) also Worden et al. (ApJ,1999) also suggestioned suggestioned that the active network that the active network could have disappeared during the Maunder Minimum. could have disappeared during the Maunder Minimum.

Example of low active network and high activity.

Courtesy: BASS 2000 Faculae

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SLIDE 8

Where the Data comes from Where the Data comes from

SIM instrument collects data. SIM instrument collects data. The light enters through a slit in the The light enters through a slit in the front of SIM. It is then sent through front of SIM. It is then sent through a a Fery Fery prism. prism. The The Fery Fery prism has a convex back prism has a convex back and a concave front which allows and a concave front which allows it to both focus and disperse the light. it to both focus and disperse the light. The main benefit of using the The main benefit of using the Fery Fery is the fact that it is the fact that it

  • nly produces one spectral order where regular
  • nly produces one spectral order where regular

gratings produce several overlapping orders. gratings produce several overlapping orders.

Courtesy: LASP

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SLIDE 9

Normal Variation Normal Variation

  • Here we can see what would

Here we can see what would happen in both TSI and Ratio happen in both TSI and Ratio Variation of a sunspot crossing Variation of a sunspot crossing the sun. the sun.

  • Where Lean uses Ratio to

Where Lean uses Ratio to compare the days, I use compare the days, I use Fractional Difference, (Ratio Fractional Difference, (Ratio – – 1) 1)

Courtesy: Lean et al. (Solar Physics, 230, 2005)

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SLIDE 10

The Usual Fluctuations The Usual Fluctuations

  • For most of a plot of 500nm

and 280nm variations, the two would be out of sync as they appear in this plot.

  • For the days of Facular

Brightening, the 500nm line and the Mg II (280nm) would peak at the same time, or close to it.

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SLIDE 11

Include the finding of FB plots Include the finding of FB plots

  • The way of finding these

The way of finding these FB days was simply when FB days was simply when both wavelengths peaked both wavelengths peaked at the same time. at the same time.

  • After the days have been

After the days have been selected, to get a more selected, to get a more precise day selection, precise day selection,

  • ne looks at the Ca K
  • ne looks at the Ca K

images to find the lowest images to find the lowest activity day, and the activity day, and the highest for each case. highest for each case.

(Missing parts in line are bad (Missing parts in line are bad data points) data points)

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SLIDE 12

Observations from data Observations from data

A B D C

Plank Derivation for 0.4° variation at 5780°K

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SLIDE 13

Interpretation of the Data Interpretation of the Data

  • There is obviously an overwhelming amount of

There is obviously an overwhelming amount of information in the plots, but we can easily see some information in the plots, but we can easily see some common and important features. common and important features.

  • You must also be careful of misidentifying a system or

You must also be careful of misidentifying a system or hardware feature as actual results. hardware feature as actual results.

  • We are ideally looking for days without sunspots. To do

We are ideally looking for days without sunspots. To do so one must examine the solar images to find which of so one must examine the solar images to find which of these plots has the data we are looking for. these plots has the data we are looking for.

  • Though from the plots we see that, the

Though from the plots we see that, the the the visible and visible and infrared, A fits the 0.4°K Plank derivation best. infrared, A fits the 0.4°K Plank derivation best.

  • Should also note that UV light shows marked increase in

Should also note that UV light shows marked increase in all of the plots. all of the plots.

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SLIDE 14

Sun on Facular Brightening Days Sun on Facular Brightening Days

Reference Days Compared Days

A B

Courtesy: MDI

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SLIDE 15

Sun on Facular Brightening Days (cont.) Sun on Facular Brightening Days (cont.)

Compared Days Reference Days

D C

Courtesy: MDI

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SLIDE 16

Conclusions Conclusions

After seeing the solar After seeing the solar images for the images for the corresponding plots, B has corresponding plots, B has the lowest number of the lowest number of

  • sunspots. And because of
  • sunspots. And because of
  • this. B is the plot which
  • this. B is the plot which

shows us the data we are shows us the data we are interested, namely, facular interested, namely, facular brightening without brightening without interference (or minimal) interference (or minimal) from sunspots. from sunspots. (The dip around 900nm is (The dip around 900nm is likely an instrument artifact) likely an instrument artifact)

B

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SLIDE 17

Where does all this lead? Where does all this lead?

  • Now that there are some good relations drawn between

Now that there are some good relations drawn between the SSI and TSI, and their effect on temperatures here, the SSI and TSI, and their effect on temperatures here, we can begin to look at other periods of time and make we can begin to look at other periods of time and make estimates of what the sun may have been acting like estimates of what the sun may have been acting like during those time periods. during those time periods.

  • With the SSI variation data, climate modelers could use

With the SSI variation data, climate modelers could use the irradiance variation derived to estimate temperature the irradiance variation derived to estimate temperature changes on Earth. changes on Earth.

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SLIDE 18

References References

  • BASS2000: Solar Survey Archive. (2007, July 30).

BASS2000: Solar Survey Archive. (2007, July 30). Meudon Meudon Spectroheliograph Spectroheliograph. . Retrieved July 18, 2007 from Retrieved July 18, 2007 from http://bass2000.obspm.fr/home.php http://bass2000.obspm.fr/home.php

  • Lean et al. (Solar Physics, 230, 2005)

Lean et al. (Solar Physics, 230, 2005) SORCE Contributions to New SORCE Contributions to New Understanding of Global Change and Solar Variability. Understanding of Global Change and Solar Variability. Dordrecht, Netherlands: Springer. 38 p. Dordrecht, Netherlands: Springer. 38 p.

  • Michelson Doppler Imager. (2007, May 25).

Michelson Doppler Imager. (2007, May 25). MDI MDI Intensitygram Intensitygram. . Retrieved July 19, 2007 from Retrieved July 19, 2007 from http://soi.stanford.edu/production/int_gifs.html http://soi.stanford.edu/production/int_gifs.html

  • Reid, George. (Journal of Atmospheric and Solar-Terrestrial

Reid, George. (Journal of Atmospheric and Solar-Terrestrial Physics, 61, 1999). Physics, 61, 1999). Solar variability and its implications for the Solar variability and its implications for the human environment human environment. 3-14 pp. . 3-14 pp.

  • Shindell

Shindell, Drew et al., (Science, 294, 2001). , Drew et al., (Science, 294, 2001). Solar Forcing of Solar Forcing of Regional Climate Change During the Maunder Minimum. Regional Climate Change During the Maunder Minimum. 2149- 2149- 2152 pp. 2152 pp.

  • Soper

Soper, Davison. , Davison. Sunspot Cycle. Sunspot Cycle. Retrieved July 24, 2007 from Retrieved July 24, 2007 from http://zebu.uoregon.edu/~soper/Sun/cycle.html http://zebu.uoregon.edu/~soper/Sun/cycle.html

  • Worden, John et al. (

Worden, John et al. (ApJ ApJ, 501, 1999). , 501, 1999). Evolution of Evolution of Chromospheric Chromospheric Structures: How Structures: How Chromospheric Chromospheric Structures Contribute to the Structures Contribute to the Solar He II 30.4 Nanometer Irradiance and Variability. Solar He II 30.4 Nanometer Irradiance and Variability. 965-975 pp. 965-975 pp.