J. Space Weather Space Clim.
Volume 7, 2017
Developing New Space Weather Tools: Transitioning fundamental science to operational prediction systems
Article Number A36
Number of page(s) 12
Published online 22 December 2017
  • Aschwanden MJ, Alexander D. 2001. Flare plasma cooling from 30 MK down to 1 MK modeled from Yohkoh, GOES, and TRACE observations during the Bastille day event (14 July 2000). Sol Phys 204: 91–120. [NASA ADS] [CrossRef] [Google Scholar]
  • Benz AO, Krucker S. 1999. Heating events in the quiet solar corona: multiwavelength correlations. Astron Astrophys 341: 286–295. [Google Scholar]
  • Bornmann PL, Speich D, Hirman J, Matheson L, Grubb R, Garcia HA, Viereck R. 1996. GOES X-ray sensor and its use in predicting solar-terrestrial disturbances. In: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation. International Society for Optics and Photonics, pp. 291–298. [Google Scholar]
  • Bradshaw S, Mason H. 2003. A self-consistent treatment of radiation in coronal loop modelling. Astron Astrophys 401: 699–709. [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  • Cargill PJ, Mariska JT, Antiochos SK. 1995. Cooling of solar flares plasmas. 1: theoretical considerations. Astrophys J 439: 1034–1043. [NASA ADS] [CrossRef] [Google Scholar]
  • Cargill PJ, Bradshaw SJ, Klimchuk JA. 2012. Enthalpy-based thermal evolution of loops. II. Improvements to the model. Astrophy J 752: 161. [NASA ADS] [CrossRef] [Google Scholar]
  • Chamberlin PC, Woods TN, Eparvier FG. 2007. Flare irradiance spectral model (FISM): daily component algorithms and results. Space Weather 5: 1–23 [NASA ADS] [CrossRef] [Google Scholar]
  • Chamberlin PC, Woods TN, Eparvier FG. 2008. Flare irradiance spectral model (FISM): flare component algorithms and results. Space Weather 6: 1–16 [CrossRef] [Google Scholar]
  • Chamberlin PC, Woods TN, Eparvier FG, Jones AR. 2009. Next generation X-ray sensor (XRS) for the NOAA GOES-R satellite series. In: SPIE Optical Engineering+ Applications. International Society for Optics and Photonics, p. 743802. [Google Scholar]
  • Chamberlin P, Milligan R, Woods T. 2012. Thermal evolution and radiative output of solar flares observed by the EUV variability experiment (EVE). Sol Phys 279: 23–42. [NASA ADS] [CrossRef] [Google Scholar]
  • Didkovsky L, Judge D, Wieman S, Woods T, Jones A. 2009. EUV spectrophotometer (ESP) in extreme ultraviolet variability experiment (EVE): algorithms and calibrations. In: The Solar Dynamics Observatory, Springer, New York, NY, pp. 179–205. [CrossRef] [Google Scholar]
  • Eparvier FG, Crotser D, Jones AR, McClintock WE, Snow M, Woods TN. 2009. The extreme ultraviolet sensor (EUVS) for GOES-R. In: SPIE Optical Engineering+ Applications, International Society for Optics and Photonics, p. 743, 804. [Google Scholar]
  • Eparvier F, Chamberlin P, Woods T, Thiemann E. 2015. The solar extreme ultraviolet monitor for MAVEN. Space Sci Rev 195: 293–301. [NASA ADS] [CrossRef] [Google Scholar]
  • Feldman U, Doschek G, Behring W, Phillips K. 1996. Electron temperature, emission measure, and X-ray flux in A2 to X2 X-ray class solar flares. Astrophys J 460: 1034. [NASA ADS] [CrossRef] [Google Scholar]
  • Freeland S, Handy B. 1998. Data analysis with the SolarSoft system. Sol Phys 182: 497–500. [NASA ADS] [CrossRef] [Google Scholar]
  • Ghoshdastidar PS. 2012. Heat transfer, Oxford University Press, New Delhi, India. [Google Scholar]
  • Hestroffer D, Magnan C. 1998. Wavelength dependency of the Solar limb darkening. Astron Astrophys 333: 338–342. [Google Scholar]
  • Hinteregger HE, Fukui K, Gilson BR. 1981. Observational, reference and model data on solar EUV, from measurements on AE-E. Geophys Res Lett 8: 1147–1150. [NASA ADS] [CrossRef] [Google Scholar]
  • Hock RA. 2012. The role of solar flares in the variability of the extreme ultraviolet solar spectral irradiance (Doctoral dissertation, University of Colorado at Boulder). ProQuest Dissertations Publishing. [Google Scholar]
  • Klimchuk JA. 2015. Key aspects of coronal heating. Philos Trans R Soc A 373: 20140–20256. [NASA ADS] [CrossRef] [Google Scholar]
  • Klimchuk J, Patsourakos S, Cargill P. 2008. Highly efficient modeling of dynamic coronal loops. Astrophys J 682: 1351. [NASA ADS] [CrossRef] [Google Scholar]
  • Klimchuk JA, Karpen JT, Antiochos SK. 2010. Can thermal nonequilibrium explain coronal loops? Astrophys J 714: 1239. [NASA ADS] [CrossRef] [Google Scholar]
  • Le H, Liu L, Wan W. 2012. An analysis of thermospheric density response to solar flares during 2001–2006. J Geophys Res: Space Phys 117: 1–8 [Google Scholar]
  • Lemen JR, Title AM, Akin DJ, Boerner PF, Chou C, et al. 2012. The atmospheric imaging assembly (AIA) on the solar dynamics observatory (SDO). Sol Phys 275: 17–40. [NASA ADS] [CrossRef] [Google Scholar]
  • Li Y, Qiu J, Ding M. 2012. Analysis and modeling of two flare loops observed by AIA and EIS. Astrophys J 758: 52. [CrossRef] [Google Scholar]
  • Li Y, Qiu J, Ding M. 2014. Heating and dynamics of two flare loop systems observed by AIA and EIS. Astrophys J 781: 120. [CrossRef] [Google Scholar]
  • Lionello R, Alexander CE, Winebarger AR, Linker JA, Mikić Z. 2016. Can large time delays observed in light curves of coronal loops be explained in impulsive heating? Astrophys J 818: 129. [CrossRef] [Google Scholar]
  • MartÃnez-Galarce D, Harvey J, Bruner M, Lemen J, Gullikson E, Soufli R, Prast E, Khatri S. 2010. A novel forward-model technique for estimating EUV imaging performance: design and analysis of the SUVI telescope. In: SPIE Astronomical Telescopes+ Instrumentation, International Society for Optics and Photonics, p. 773237. [Google Scholar]
  • Neupert WM. 1968. Comparison of solar X-ray line emission with microwave emission during flares. Astrophys J 153: L59. [NASA ADS] [CrossRef] [Google Scholar]
  • Pierce AK, Slaughter CD. 1977. Solar limb darkening. Sol Phys 51: 25–41. [NASA ADS] [CrossRef] [Google Scholar]
  • Qian L, Burns AG, Chamberlin PC, Solomon SC. 2010. Flare location on the solar disk: modeling the thermosphere and ionosphere response. J Geophys Res: Space Phys 115: 1–11 [Google Scholar]
  • Qian L, Burns AG, Chamberlin PC, Solomon SC. 2011. Variability of thermosphere and ionosphere responses to solar flares. J Geophys Res: Space Phys 116: 1–14 [Google Scholar]
  • Qiu J, Longcope DW. 2016. Long duration flare emission: impulsive heating or gradual heating? Astrophys J 820: 14. [CrossRef] [Google Scholar]
  • Qiu J, Liu WJ, Longcope DW. 2012. Heating of flare loops with observationally constrained heating functions. Astrophys J 752: 124. [CrossRef] [Google Scholar]
  • Raftery CL, Gallagher PT, Milligan RO, Klimchuk JA. 2009. Multi-wavelength observations and modelling of a canonical solar flare. Astron Astrophys 494: 1127–1136. [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  • Reale F. 2014. Coronal loops: observations and modeling of confined plasma. Living Rev Solar Phys 11: 1–94. [CrossRef] [Google Scholar]
  • Richards P, Fennelly J, Torr D. 1994. EUVAC: a solar EUV flux model for aeronomic calculations. J Geophys Res: Space Phys 99: 8981–8992. [NASA ADS] [CrossRef] [Google Scholar]
  • Rosner R, Tucker WH, Vaiana G. 1978. Dynamics of the quiescent solar corona. Astrophys J 220: 643–645. [NASA ADS] [CrossRef] [Google Scholar]
  • Ryan DF, Chamberlin PC, Milligan RO, Gallagher PT. 2013. Decay-phase cooling and inferred heating of M-and X-class solar flares. Astrophys J 778: 68. [NASA ADS] [CrossRef] [Google Scholar]
  • Smith S. 1997. The scientist and engineer's guide to digital signal processing, California Technical Pub., San Diego. [Google Scholar]
  • Sutton E, Forbes J, Nerem R, Woods T. 2006. Neutral density response to the solar flares of october and november, 2003. Geophys Res Lett 33: 1–5 [CrossRef] [Google Scholar]
  • Thiemann E, Chamberlin PC, Eparvier FG, Templeman B, Woods TN, Bougher SW, Jakosky BM. 2017. The MAVEN EUVM model of solar spectral irradiance variability at Mars: algorithms and results. J Geophys Res: Space Phys 122: 2748–2767. [Google Scholar]
  • Thomas R, Starr R, Crannell C. 1985. Expressions to determine temperatures and emission measures for solar X-ray events from GOES measurements. Sol phys 95: 323–329. [NASA ADS] [CrossRef] [Google Scholar]
  • Tobiska WK, Woods T, Eparvier F, Viereck R, Floyd L, Bouwer D, Rottman G, White O. 2000. The SOLAR2000 empirical solar irradiance model and forecast tool. J Atmos Solar-Terr Phys 62: 1233–1250. [NASA ADS] [CrossRef] [Google Scholar]
  • Viall NM, Klimchuk JA. 2012. Evidence for widespread cooling in an active region observed with the SDO atmospheric imaging assembly. Astrophys J 753: 35. [NASA ADS] [CrossRef] [Google Scholar]
  • Von Storch H, Zwiers FW. 2001. Statistical analysis in climate research, Cambridge University Press, New York, NY. [Google Scholar]
  • Warren HP. 2006. Multithread hydrodynamic modeling of a solar flare. Astrophys J 637: 522. [NASA ADS] [CrossRef] [Google Scholar]
  • Warren HP, Winebarger AR, Hamilton PS. 2002. Hydrodynamic modeling of active region loops. Astrophys J Lett 579: L41. [NASA ADS] [CrossRef] [Google Scholar]
  • Warren HP, Mariska JT, Doschek GA. 2013. Observations of thermal flare plasma with the EUV variability experiment. Astrophys J 770: 116. [NASA ADS] [CrossRef] [Google Scholar]
  • Woods TN, Hock R, Eparvier F, Jones AR, Chamberlin PC, et al. 2011. New solar extreme-ultraviolet irradiance observations during flares. Astrophys J 739: 59. [NASA ADS] [CrossRef] [Google Scholar]
  • Woods T, Eparvier F, Hock R, Jones A, Woodraska D, et al. 2012. Extreme Ultraviolet Variability Experiment (EVE) on the Solar Dynamics Observatory (SDO): overview of science objectives, instrument design, data products, and model developments. Sol Phys 275: 115–143. [NASA ADS] [CrossRef] [Google Scholar]
  • Zeng Z, Qiu J, Cao W, Judge PG. 2014. A flare observed in coronal, transition region, and Helium I 10830 Å emissions. Astrophys J 793: 87. [CrossRef] [Google Scholar]

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