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Solar Spectral Irradiance (SSI) changes, atmospheric effects? J. Fontenla NorthWest Research Associates and LASP-University of Colorado.

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Presentation on theme: "Solar Spectral Irradiance (SSI) changes, atmospheric effects? J. Fontenla NorthWest Research Associates and LASP-University of Colorado."— Presentation transcript:

1 Solar Spectral Irradiance (SSI) changes, atmospheric effects? J. Fontenla NorthWest Research Associates and LASP-University of Colorado

2 The topic: SSI changes, and does it matter? Solar Physics issues: –Solar atmosphere structure and SSI –Non-LTE radiative transfer –Solar magnetic (sunspot) cycle –Magnetic effects on the solar atmospheric layers Atmospheric issues: –Photochemistry –Heating of various layers of the Earth atmosphere –Ocean currents and energy transport –Effects of all the above on circulation

3 The solar research on SSI modeling Emitted intensity spectrum =>solar atmospheres 1970s: HSRA, BCA, Gingerich, Peytremann, Holweger & Muller Avrett et al VAL non-LTE, Athay & Thomas non-LTE and chromosphere, Mihalas, Kurucz LTE stellar models, 1980s Transition region and Lyα, Fontenla et al FAL, 1990s Solar atmospheres => SSI calculations Solanki/Unruh 1998, 3 component, LTE RISE models 1999, 6 components, full/approx NLTE Shapiro/Krivova 2011, full NLTE in few species/levels SRPM models 2011, 9 components, resolved over the disk, full NLTE in 50 species/over 13,000 levels/over 170,000 atomic/ionic lines and over 550,000 molecular lines (LTE).

4 SSI spectral features and atmospheric regions Photosphere: visible,IR continuum and weak absorption lines Lower chromosphere: NUV, visible, IR absorption lines Upper chromosphere: deep absorption line cores and UV emission lines Transition region: EUV/FUV emission lines Fontenla, Avrett, & Loeser 1991, FAL 2, The Astrophysical Journal, 377:

5 Solar Surface Features A-weak internetwork (new) B-internetwork (changed C) D-network (new) E-active network (changed F) H-normal plage (new) P-bright plage (changed P) Q-very hot plage (new) S-sunspot umbra (temp) R-sunspot penumbra (new/temp)

6 Models of solar atmospheric features Fontenla et al. 2011, JGR, 116, full NLTE, Tmin very different Fontenla et al. 2006,The Astrophysical Journal, 639:441–458, Models cross at ~6500 K, in NLTE. Solanki & Unruh 1998, Astron. Astrophys. 329, , LTE. No crossing in these models, SSI computed in LTE from FAL P with modifications.

7 Fontenla et al. 2011, JGR, 116, D20108 Contributions to Quiet-Sun TSI (1360 W m-2): Photosphere: ~1351 W m -2 Chromosphere: ~8 W m -2 (power >> TSI observed changes) Corona+Transition-region: ~70 mW m -2 Transition-region and Coronal layersPhotospheric and chromospheric layers

8 Computed vs observed SSI

9 Some observations considered for SRPM set of atmospheric models Topka et al. 1997, The Astrophysical Journal, 484: Sanchez Cuberes et al. 2002, The Astrophysical Journal, 570:886–899 Features continuum contrast varies with wavelength and heliocentric angle, corresponds to the slope of T vs p, SRPM model set used detailed radiance observations

10 San Fernando Observatory Ground-based radiance observations confirm that ARs are dim in the visible, over the solar cycle plage near the limb do not increase the visible SSI. Preminger et al. 2011, ApJ Ca II K Red Blue

11 Controversy1: Calculated SSI behavior Solanki & Unruh 1998, Astron. Astrophys. 329, According to this paper: «The dotted curve shows the observed relative irradiance variation for λ < 400 nm between solar activity minimum and maximum vs. wavelength, compiled by Lean et al. (1997) and extrapolated to longer wavelengths by Lean (1991). » Relative changes between Solar Cycle 23 peak/min that I am using for WACCM4 simulation runs. Nocorr – Fontenla et al 2011, SRPM + PSPT images Corr - same as above with a correction to match TSI NRLSSI – WACCM4 default. “Lean_ _ann_c100405”

12 “nocorr” SSI (wavelength,time)

13 Lower- and upper-chromosphere bright/dark fine structure, 1-D models only a first approximation to the net medium-resolution Upper-chromosphere Lower chromosphere Extension of the granulation structure. Some localized energy dissipation in the walls of downdrafts. Loops and mechanical dissipation

14 3D Radiation Transport & NLTE mostly convective transport mostly radiative transport Pressure (dyne cm^-2) Mg I 4572C I 5381 CN band Computed for photospheric convection simulation snapshot with data from Stein & Nordlund nm1200 nm1600 nm500 nm

15 Network and its change over the cycle, what is “quiet-Sun”? A B D FHP low peak In the so-called “quiet-Sun”, i.e. locations where no obvious AR are present, the intensity distribution of the network is observed to change with the solar cycle (maybe not strictly in phase with the sunspot index). Intensity distribution at the disk center A B D F H P S R Q Feature, model, TSI This has implications for SSI and for TSI. But available images lack reliable absolute calibration. Day to day matching was done with the median.

16 Time series of solar spectral variability from SORCE/SIM

17 Controversy2: NUV Observations Various instruments claiming reliable calibration for long term Most instruments show variation of about ~50/1000~5% except for SUSIM. Only SUSIM measured one peak, since UARS/SOLSTICE hardware failed in 2000 Both SORCE instruments show ~6% variations; their decreasing SSI turned around to increasing as SC 24 started in ~2010, but later data is not shown here.

18 NUV effects on O3 Calculations were carried out by Merkel et al (see GRL38, L ), using SORCE data extrapolated in time. These are done with WACCM3 in static SSI runs. Other authors also made simplified calculations showing important differences. I am carrying out transient WACCM4 (NCAR Community Earth System Model ) runs with coupled atmosphere, ocean, land, and ice. O3 is included but so are many other processes.

19 CESM (WACCM4) for SSI study Transient runs including all observed forcing. Imposing observed QBO. SSI: wavelength < 120 nm uses F10.7 proxy SSI: 120 nm < wavelength < 100 μm: –“const” uses time independent low activity SSI –“nocorr” from SRPM + PSPT & Meudon images, repeats SC23 (with stretching) –“corr” same as above but with a correction to match observed TSI, still under development –“nrlssi” using the default SSI in CESM, from Lean

20 SSI “nocorr” model of SC23, vs NRLSSI SRPM Lean TSI Year Irradiance mW m -2 nm -1 W m -2

21 Follow some preliminary results Only from one complete run of each case, the 3 years near the minimum, over 4 solar cycles were averaged and compared. The same was done for and 3 years near the maximum over 4 solar cycles. Then, the averages of 12 years near min and 12 years near max were subtracted to show the effect of SSI change. The maps shown below are for the DJF season, the JJA patterns are different. The zonal means are annual. More instances are running to form an ensemble. However, Earth behavior is only one instance.

22 Preliminary WACCM surface results delta.CLOUDT const delta.TS const delta.PS const delta.CLOUDT nocorrdelta.CLOUDT nrlssi delta.PS nocorrdelta.PS nrlssi delta.TS nocorrdelta.TS nrlssi longitudelatitude Cloud fraction Surfacte temperature Surface pressure

23 ENSO and “natural” variability issues Volcanic eruptions are a big issue: Mt. St. Helens 1980 El Chichon 1982 Pinatubo 1991 Does the SSI choice affect these? More “realizations” are needed How to cancel volcanic effects? (DJF)

24 Zonal mean T and H2O changes constnocorrnocorr-const H2O (relat) T (K) “const” displays changes that are not due to the SSI choice, difference of difference can eliminate some but is affected by the “noise” in both “nocorr” and const”

25 Issues analyzing simulation results to separate SSI effects from other effects tropical (±25 deg) annual differences between peak and min years tropos stratos mesos thermos

26 Other WACCM Simulation Interesting Results The NRLSSI dif. of dif. have also some of this behavior on the Pacific Ocean Warm Pool but the details are quite different. Also, NRLSSI results show several differences in other regions, e.g. the patterns in Mexico Pacific area, Brasil Atlantic, and Madagascar Indian Ocean which are not shown by “nocorr” results  = DifDif.FSDS Shows the downwelling solar shortwave flux at the surface increases of ~30 W m -2 at the Pacific Ocean Warm Pool region at solar max times. But was shown before that the surface temperature does not increase much there. Ocean effects, Kuroshio stream, moderate T? Nocorr-Const NRLSSI-Const

27 Ocean gyres Ocean currents couple to atmospheric winds and tropospheric energy transport. This is represented in CESM1.0.3/WACCM4 by the integration of the atmospheric model (CAM2) with the deep ocean model (POP). The tropospheric and ocean phenomena are very tangled! Analysis is very complex but these simulations contain a wealth of data which could nail down the physical processes induced by SSI changes. That is, if one could also figure out other forcing and variability.

28 Future work All the maps shown above is for DJF season, similar ones for JJA season were done. Still improving “corr” SSI case by reprocessing images into “corr2”, hope to have it by end of year Performing runs for more instances of all SRPM cases, necessary to separate natural variability and SSI effects 4 instances are the target. Analysis of the data for ocean and other components of CESM model remains to be done. Comparison between CESM and atmospheric radiative heating/cooling to be carried out to evaluate spectral model and resolution effects. FUV/EUV SSI ongoing modeling for replacing F10.7 proxy and for forecast of thermospheric neutral density and ionization.

29 Dark active regions A nice example on 2/3/2007 shows two large magnetic active regions sunspots side-by-side and one is associated with a lot of chromospheric and coronal heating but the other is not showing much heating. The magnetic flux of the sunspots is not too different but the bright region is bipolar and more complex.


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