2020 SDO Science Workshop: A Decade of Discovery

October 12-16, 2020, Vancouver, Canada

Science Program

Plenary review talks that describe how our science has benefited from 10 years of SDO. How SDO data and data products have revolutionized the field. HMI: Vector Magnetic fields, helioseismology. EVE: new science possible with higher time cadence spectra, AIA: DEM, data driven models and coronal validation.


  1. Subsurface Flows, Dynamos, and the Solar Cycle.
    Papers examining how SDO data has been used to explore the interior of the Sun are solicited for this session. This includes the calculation of subsurface flows and other ways sound waves have been used to probe the Sun. Models of the convective flows at all scales are encouraged. Machine learning studies that describe the connections between the magnetic field and subsurface flow patterns are also welcome. Some dynamo models assumed a single kidney-shaped meridional circulation pattern when SDO was launched. We now know that multiple cells exist in latitude and radius, and that pattern evolves in time. With the discovery of giant cells, those cells may also exist in longitude. That’s for the next 10 years of SDO!
  2. Phun with Photons: Response of atmospheres to EUV variability
    This session examines how the solar EUV output interacts with and drives variability in the atmospheres of the Earth, as well as other planets and satellites in the solar system. SDO has made ten years of comprehensive, high time cadence, and high spectral resolution observations of the solar EUV irradiance and its variability from solar maximum to minimum. Papers are solicited that address the impacts of EUV variability on neutral and ionized atmospheres through either modeling, observation, or a combination of both and at any time scale from space weather to climatology. Papers that study the role of the variability of the early Sun in atmospheric evolution and the response of exoplanets to stellar variability are also welcome.
  3. Short-term Solar Variability.
    The cadence of SDO observations has allowed rapid changes in the Sun’s EUV output to be measured over the past 10 years. This has transformed our understanding of short-term solar variability due to flares, jets, quasi-periodic pulsations, filament eruptions, coronal dimmings, and so on. This session solicits presentations on data analysis and modelling of processes leading to short-term (~seconds to hours) solar variability, at all wavelengths. Long-term statistical studies, geoeffective processes, and coordinated observations with other instruments are particularly welcome.
  4. Magnetic Flux in the SDO Era: From Emergence to Eruption
    This session is for flux emergence and active region evolution, intended to connect the convection zone, surface, and the layers above. Thanks to the ceaseless full-disk observation by SDO, there has been great progress in flux emergence research. The possible science topics include: pre-emergence seismic signatures; auto-detection of emerging flux; injection of magnetic flux and helicity; longterm evolution and energy accumulation; and data-driven coronal field models. We particularly welcome statistical analyses, studies on long-term variability, coordinations of SDO and other instruments, and comparisons of observation and modeling.
  5. SDO for Space Weather: Science and Applications
    Since its launch, SDO data has been used to create a number of space weather tools such as: automated identification and tracking of solar features such as coronal hole boundaries; parameterization of an active region’s magnetic complexity for flare forecasting; and farside active region detection using helioseismology. This session solicits works that have leveraged a decades worth of SDO data to enhance our understanding of space weather and its drivers. Papers that have been developed using SDO data for space weather applications, with a view of being transitioned from research to operations are also welcome.
  6. The SDO Corona and Beyond
    The SDO era has ushered in a time of unprecedented full-sun observations of the corona in many temperatures. These observations have enabled better understanding of the dynamic global corona and have provided boundary conditions and validation criteria for many data-driven coronal models. The AIA FOV has created a strong basis in the lower corona (<1.3 Rsun) for these models. With current and future missions, it is possible to fold in observations from higher in the corona for both scientific research and model validation. We encourage submissions about large-scale coronal science and data-driven models in the SDO era, and how these can be combined with complementary observations from other sources. Stand-alone mission descriptions are accepted as poster submissions. 
  7. Energy and mass transfer between the corona and the chromosphere
    The broad wavelength coverage, high temporal and spatial resolution, and long observing time of SDO has allowed for in-depth analysis of the connection between the chromosphere and the corona. At the same time, other instruments on IRIS and Hinode, and at ground based observatories have provided further understanding through images, spectra, and polarization measurements in multiple wavelengths that are used in conjunction with the SDO data. The change in physical regimes across the abrupt transition region has made studying the interconnection with models and theory difficult as the underlying assumptions made in coronal models and chromospheric models are very different. We look in this session at the various chromospheric, transition region, and coronal processes as energy and mass are transported through the layers.
  8. Vector Magnetic Field: Progress and Prospects.
    HMI has provided the first full-disk, long-term, uniform, continuous record of the Sun's vector magnetic field. SHARPs document every 12 minutes the front-side development of every solar active regions since May 2010, and numerous quantitative studies have been performed using physical quantities derived from the time evolution of the vector magnetic and velocity fields and associated quantities. The consistent vector data are ideal for machine learning techniques. Relevant contributions concerning the polar field and solar cycle, energy storage and release, flare prediction, helicity, and systematic effects are welcome. With the imminent arrival of both Cycle 25 and of local high-resolution high-sensitivity data from DKIST, we also invite you to share plans for addressing exciting new science questions in the next 10 years.
  9. Other
    This section solicits any solar physics contributions that are related to SDO but not be well aligned with the listed sessions.