Daedalus EE10 Data Usage Survey

The Daedalus mission has been proposed to the European Space Agency (ESA) in response to the call for ideas for the Earth Observation programme’s 10th Earth Explorer (EE10). It is currently one of three candidates for implementation, completing a Phase-0 Science and Requirements Consolidation study. The overarching goal of Daedalus is to fundamentally advance our understanding of the energetics, dynamics, and chemistry of the atmosphere-space transition region, and of the neutral-plasma interactions that shape it. The mission design shall allow Daedalus to perform in-situ measurements of plasma density and temperature, ion drift, neutral density and wind, ion and neutral composition, electric and magnetic fields, and of energetic particles in the Lower Thermosphere-Ionosphere (LTI) region, targeting in particular the 100-200 km range. More information on Daedalus can be found at:

www.daedalus.earth

The survey below aims to help identify how Daedalus data products will be used. Whereas addressing all of the questions is not required to successfully complete the survey, responses will greatly help us to get feedback from the wider scientific community on the usage of Daedalus data & products related to your research.

Question Title

* 1. Please enter the required information:

Name

Affiliation

Email Address

Question Title

* 2. Question: Which Daedalus Science Objectives are you most interested in?

Daedalus will explore how Joule, or frictional, heating in the lower thermosphere evolves in concert with the plasma and neutral dynamics, characterising its variability within the latitude and altitude region where it maximizes

Daedalus will characterise the ionisation and energy deposition in the lower thermosphere by energetic particle precipitation, and the flux of particles traveling through the region to precipitate into the middle atmosphere

Daedalus will discover how atmospheric and magnetospheric forcing and drag between charged and neutral species in the lower thermosphere-ionosphere affect the density, composition, winds and drifts in the region

Daedalus will clarify the conditions responsible for GNSS scintillations, including small-scale auroral structures, flow shears and sharp gradients in the LTI that can drive plasma instabilities and characterise the LTI evolution of post-sunset equatorial plasma irregularities and their day-to-day variability at mid- and low latitudes

Daedalus will improve satellite-level gas-surface interaction modelling algorithms and assumptions – and the accuracy of acceleration-derived thermosphere data from other missions – by directly measuring both inputs and outputs to satellite aerodynamics calculations, notably neutral atmospheric density, composition, temperature, wind, and accelerations, over a wide altitude range

Daedalus will enhance existing models of Earth’s global lithospheric magnetic field, in particular of the static small-scale magnetisation structures (spherical harmonics at degrees >150 or spatial scales <270 km)

Daedalus will enable improvements of the predictive radiation belt models by measuring EPP fluxes in the MeV energy range

Daedalus will provide electric and magnetic field measurements at high altitudes that can be used for Poynting Flux calculations, which represents the field-line integrated energy dissipation below the satellite

Daedalus will contribute to investigations of the interaction of energetic particles and high-frequency electromagnetic waves

Question Title

* 3. Question: How likely are you to use the following Daedalus primary products?(Ionosphere parameters, Electric and Magnetic Field, Neutral Parameters, Energetic Precipitating Particles)

	highly unlikely	unlikely	not sure	likely	very likely
Ion Drift velocity	Ion Drift velocity highly unlikely	Ion Drift velocity unlikely	Ion Drift velocity not sure	Ion Drift velocity likely	Ion Drift velocity very likely
Ion Temperature	Ion Temperature highly unlikely	Ion Temperature unlikely	Ion Temperature not sure	Ion Temperature likely	Ion Temperature very likely
Electron Temperature	Electron Temperature highly unlikely	Electron Temperature unlikely	Electron Temperature not sure	Electron Temperature likely	Electron Temperature very likely
Plasma Density	Plasma Density highly unlikely	Plasma Density unlikely	Plasma Density not sure	Plasma Density likely	Plasma Density very likely
Ion composition	Ion composition highly unlikely	Ion composition unlikely	Ion composition not sure	Ion composition likely	Ion composition very likely
Electric Field, DC (AC)	Electric Field, DC (AC) highly unlikely	Electric Field, DC (AC) unlikely	Electric Field, DC (AC) not sure	Electric Field, DC (AC) likely	Electric Field, DC (AC) very likely
Magnetic Field	Magnetic Field highly unlikely	Magnetic Field unlikely	Magnetic Field not sure	Magnetic Field likely	Magnetic Field very likely
Neutral Winds	Neutral Winds highly unlikely	Neutral Winds unlikely	Neutral Winds not sure	Neutral Winds likely	Neutral Winds very likely
Neutral Temperature	Neutral Temperature highly unlikely	Neutral Temperature unlikely	Neutral Temperature not sure	Neutral Temperature likely	Neutral Temperature very likely
Neutral mass density	Neutral mass density highly unlikely	Neutral mass density unlikely	Neutral mass density not sure	Neutral mass density likely	Neutral mass density very likely
Satellite drag / aerodynamic acceleration	Satellite drag / aerodynamic acceleration highly unlikely	Satellite drag / aerodynamic acceleration unlikely	Satellite drag / aerodynamic acceleration not sure	Satellite drag / aerodynamic acceleration likely	Satellite drag / aerodynamic acceleration very likely
Neutral composition	Neutral composition highly unlikely	Neutral composition unlikely	Neutral composition not sure	Neutral composition likely	Neutral composition very likely
Precipitating e-	Precipitating e- highly unlikely	Precipitating e- unlikely	Precipitating e- not sure	Precipitating e- likely	Precipitating e- very likely
Precipitating i+	Precipitating i+ highly unlikely	Precipitating i+ unlikely	Precipitating i+ not sure	Precipitating i+ likely	Precipitating i+ very likely

Question Title

* 4. Question: How likely are you to use the following Daedalus derived products?(Heating products, Conductivity, Collision frequencies and Collision Cross-Sections, Additional potential derived products)

	highly unlikely	unlikely	not sure	likely	very likely
Joule-Ohmic-Frictional Heating	Joule-Ohmic-Frictional Heating highly unlikely	Joule-Ohmic-Frictional Heating unlikely	Joule-Ohmic-Frictional Heating not sure	Joule-Ohmic-Frictional Heating likely	Joule-Ohmic-Frictional Heating very likely
Poynting Vector in the neutral gas frame	Poynting Vector in the neutral gas frame highly unlikely	Poynting Vector in the neutral gas frame unlikely	Poynting Vector in the neutral gas frame not sure	Poynting Vector in the neutral gas frame likely	Poynting Vector in the neutral gas frame very likely
Energetic Particle Precipitation	Energetic Particle Precipitation highly unlikely	Energetic Particle Precipitation unlikely	Energetic Particle Precipitation not sure	Energetic Particle Precipitation likely	Energetic Particle Precipitation very likely
Heating by electron impact ionisation	Heating by electron impact ionisation highly unlikely	Heating by electron impact ionisation unlikely	Heating by electron impact ionisation not sure	Heating by electron impact ionisation likely	Heating by electron impact ionisation very likely
Heat transfer to the neutral gas by ion and e- cooling	Heat transfer to the neutral gas by ion and e- cooling highly unlikely	Heat transfer to the neutral gas by ion and e- cooling unlikely	Heat transfer to the neutral gas by ion and e- cooling not sure	Heat transfer to the neutral gas by ion and e- cooling likely	Heat transfer to the neutral gas by ion and e- cooling very likely
Pedersen Conductivity	Pedersen Conductivity highly unlikely	Pedersen Conductivity unlikely	Pedersen Conductivity not sure	Pedersen Conductivity likely	Pedersen Conductivity very likely
Hall Conductivity	Hall Conductivity highly unlikely	Hall Conductivity unlikely	Hall Conductivity not sure	Hall Conductivity likely	Hall Conductivity very likely
Parallel Conductivity	Parallel Conductivity highly unlikely	Parallel Conductivity unlikely	Parallel Conductivity not sure	Parallel Conductivity likely	Parallel Conductivity very likely
Ion-Neutral Cross Sections	Ion-Neutral Cross Sections highly unlikely	Ion-Neutral Cross Sections unlikely	Ion-Neutral Cross Sections not sure	Ion-Neutral Cross Sections likely	Ion-Neutral Cross Sections very likely
Ion-Neutral Collision Frequency	Ion-Neutral Collision Frequency highly unlikely	Ion-Neutral Collision Frequency unlikely	Ion-Neutral Collision Frequency not sure	Ion-Neutral Collision Frequency likely	Ion-Neutral Collision Frequency very likely
Perpendicular Current	Perpendicular Current highly unlikely	Perpendicular Current unlikely	Perpendicular Current not sure	Perpendicular Current likely	Perpendicular Current very likely
Hall and Pedersen Currents	Hall and Pedersen Currents highly unlikely	Hall and Pedersen Currents unlikely	Hall and Pedersen Currents not sure	Hall and Pedersen Currents likely	Hall and Pedersen Currents very likely
Magnetic Forcing (MF)	Magnetic Forcing (MF) highly unlikely	Magnetic Forcing (MF) unlikely	Magnetic Forcing (MF) not sure	Magnetic Forcing (MF) likely	Magnetic Forcing (MF) very likely
Field Aligned Currents (FAC)	Field Aligned Currents (FAC) highly unlikely	Field Aligned Currents (FAC) unlikely	Field Aligned Currents (FAC) not sure	Field Aligned Currents (FAC) likely	Field Aligned Currents (FAC) very likely
Magnetic Field Residuals	Magnetic Field Residuals highly unlikely	Magnetic Field Residuals unlikely	Magnetic Field Residuals not sure	Magnetic Field Residuals likely	Magnetic Field Residuals very likely
Vertical gradients of basic parameters from two vertically separated satellites	Vertical gradients of basic parameters from two vertically separated satellites highly unlikely	Vertical gradients of basic parameters from two vertically separated satellites unlikely	Vertical gradients of basic parameters from two vertically separated satellites not sure	Vertical gradients of basic parameters from two vertically separated satellites likely	Vertical gradients of basic parameters from two vertically separated satellites very likely
Temporal variability from along-track separated satellites	Temporal variability from along-track separated satellites highly unlikely	Temporal variability from along-track separated satellites unlikely	Temporal variability from along-track separated satellites not sure	Temporal variability from along-track separated satellites likely	Temporal variability from along-track separated satellites very likely
Indicator for gravity wave activity - gravity wave momentum flux	Indicator for gravity wave activity - gravity wave momentum flux highly unlikely	Indicator for gravity wave activity - gravity wave momentum flux unlikely	Indicator for gravity wave activity - gravity wave momentum flux not sure	Indicator for gravity wave activity - gravity wave momentum flux likely	Indicator for gravity wave activity - gravity wave momentum flux very likely
Indicator for deviation from hydrostatic equilibrium	Indicator for deviation from hydrostatic equilibrium highly unlikely	Indicator for deviation from hydrostatic equilibrium unlikely	Indicator for deviation from hydrostatic equilibrium not sure	Indicator for deviation from hydrostatic equilibrium likely	Indicator for deviation from hydrostatic equilibrium very likely
Plasma bubble index (like the Swarm product)	Plasma bubble index (like the Swarm product) highly unlikely	Plasma bubble index (like the Swarm product) unlikely	Plasma bubble index (like the Swarm product) not sure	Plasma bubble index (like the Swarm product) likely	Plasma bubble index (like the Swarm product) very likely

Other (please complete in textbox)

Question Title

* 5. Question: Which of the following aspects of Daedalus do you find specifically interesting, related to your research?

	No interest	Moderate Interest	High interest	Highest interest
Lower-most altitudes targeted have scarcely been sampled in-situ (150 km nominal perigee altitude, 120 km lowermost perigee at selected descents)	Lower-most altitudes targeted have scarcely been sampled in-situ (150 km nominal perigee altitude, 120 km lowermost perigee at selected descents) No interest	Lower-most altitudes targeted have scarcely been sampled in-situ (150 km nominal perigee altitude, 120 km lowermost perigee at selected descents) Moderate Interest	Lower-most altitudes targeted have scarcely been sampled in-situ (150 km nominal perigee altitude, 120 km lowermost perigee at selected descents) High interest	Lower-most altitudes targeted have scarcely been sampled in-situ (150 km nominal perigee altitude, 120 km lowermost perigee at selected descents) Highest interest
Daedalus provides global latitude-magnetic local time coverage	Daedalus provides global latitude-magnetic local time coverage No interest	Daedalus provides global latitude-magnetic local time coverage Moderate Interest	Daedalus provides global latitude-magnetic local time coverage High interest	Daedalus provides global latitude-magnetic local time coverage Highest interest
In-situ neutral parameters measured include neutral composition, neutral winds, neutral mass density	In-situ neutral parameters measured include neutral composition, neutral winds, neutral mass density No interest	In-situ neutral parameters measured include neutral composition, neutral winds, neutral mass density Moderate Interest	In-situ neutral parameters measured include neutral composition, neutral winds, neutral mass density High interest	In-situ neutral parameters measured include neutral composition, neutral winds, neutral mass density Highest interest
In-situ plasma parameters measured include ion composition, ion drifts, ion-electron density, ion and electron temperatures	In-situ plasma parameters measured include ion composition, ion drifts, ion-electron density, ion and electron temperatures No interest	In-situ plasma parameters measured include ion composition, ion drifts, ion-electron density, ion and electron temperatures Moderate Interest	In-situ plasma parameters measured include ion composition, ion drifts, ion-electron density, ion and electron temperatures High interest	In-situ plasma parameters measured include ion composition, ion drifts, ion-electron density, ion and electron temperatures Highest interest
Electric and magnetic fields	Electric and magnetic fields No interest	Electric and magnetic fields Moderate Interest	Electric and magnetic fields High interest	Electric and magnetic fields Highest interest
Energetic particle precipitation measurements	Energetic particle precipitation measurements No interest	Energetic particle precipitation measurements Moderate Interest	Energetic particle precipitation measurements High interest	Energetic particle precipitation measurements Highest interest
Combined measurements of neutrals, plasmas and fields	Combined measurements of neutrals, plasmas and fields No interest	Combined measurements of neutrals, plasmas and fields Moderate Interest	Combined measurements of neutrals, plasmas and fields High interest	Combined measurements of neutrals, plasmas and fields Highest interest

Question Title

* 6. Question: Which of the following best describes the usage of Daedalus data & products related to your research?

Model validation [please add model(s) in text box below]

Ingestion in empirical model(s) [please add model(s) in text box below]

Event case studies [please describe example case study in text box below]

Investigating certain physical processes in detail [please describe example process in text box below]

Looking for serendipitous discoveries in the data

Model development (e.g. development of new parameterizations)

Inputs for model initialization or specification of boundary conditions

Add details on data & products usage here

Question Title

* 7. Question: What complementary data, current or planned, do you expect the most mutual benefit from using together with Daedalus measurements?

Not sure

Please specify

Question Title

* 8. Question: Do you foresee any other uses of Daedalus data, or can you provide more detailed usage examples?

Not sure

Please specify