towards improved operational space weather forecasts ......heliospheric da rmse in near-earth solar...
TRANSCRIPT
David Jackson
Suzy Bingham, Emily Down, Siegfried Gonzi, Dan Griffin, Edmund Henley, James Manners, Mike Marsh
Towards Improved Operational Space Weather Forecasts – challenges in modelling and observations
European Space Weather Week, Leuven, Belgium, 5-9 November 2018@MetOfficeSpace
© Crown copyright Met Office
• Met Office strategic goal for operational space weather forecasts:
• coupled Sun to Earth modelling system. Physics-based, constrained by DA.
• In reality, still far away : no coupled system, only some DA, use of empirical (not physics-based) models remains commonplace.
• Gaps in this ideal future S2E system.
• List of scientific and technical challenges to be met
• Examples of ways to start to address the problems – heliosphere DA, development of whole atmosphere model
• Gaps in observation network – use WMO requirements to address this
• Helped guide design for new operational L1 and L5 solar / heliosphere missions
• Can be used in the design of a new observation network for the thermosphere.
2
Outline
•Photosphere(solar surface)
•Corona(solar atmosphere)
•Solar wind(interplanetary space)
•Magnetosphere•Radiation belts
• Ionosphere
•Thermosphere
• Middle and Lower atmosphere
Toward Sun-Earth coupled modelling
GOAL: Coupled Sun-to-Earth models with DA for much-enhanced forecast capacity
•CME prediction
•coronal magnetic field modelling
•What ARs shall be eruptive?
•Flare prediction, AR tracking
•CH and filament identification
•SEP initiation
•Ionosphericscintillation
•Thermosphere modelling
•Thermo / ionosphere coupling
•Upper / lower atmosphere coupling (whole atmosphere model)
•Aviation radiation
•Strength of storms / substorms
•No magnetosphere model !
•Radiation belt forecasts only at Geo
Opinion of MOSWOC Scientists, Forecasters, Managers
----------------------------------------------- No coupling ! ------------------------------------------
Sun-to-Earth modellingWhat’s missing?
•Bz prediction
•DA / IPS data
•SEP propagation
Solar / Heliosphere ChallengesProblem Next Step Physics? DA?
Coupling?
CME prediction - P?
Coronal magnetic field modelling
NLFFF magnetofriction
P, C
What ARS shall be eruptive?
- P?
Flare prediction, AR tracking
Ensembles,SMART
CH / filament identification
CHIMERA (CH)
SEP initialisation SPARX P
Bz prediction Faraday rotn?
DA / IPS data DA prototype, IPS Enlil
P, D, C(?),
SEP propagation SPARX P
Automated CH methods (CHIMERA: Tadhg Garton, TCD)
Lack of physical understanding and insufficient data??
Need more data?
• Heavy reliance on SEL, photosphericmagnetic field
• IPS and L5 operational mission good additions
• Parker SP and SO no good for ops but good for research => future opern. missions
Do more with existing data?
• Empirical CME / SEP prediction?
• Flares done to death but no step change –need a paradigm shift e.g more physics-based
models
Challenges nearer to EarthProblem Next Step Physics? DA? Coupling?
Strength of storms / substorms
No / SWMF P, C
No magnetospheremodel
SWMF P, C
Rad belt f/casts only at Geo
BAS model P, (C)
Ionosphericscintillation
-
Thermosphere modelling
DTM
Thermo / ionosphere modelling
UM / TIEGCM P, D, C
Upper / lower atmosphere coupling
UM (WA version)
P, (D), C
Aviation radiation MAIRE P
More physics-based models and DA
• Simple fact that ionosphere and quite a lot of the magnetosphere is fairly well observed?
• Still need model developments. Eg MHD->PiC for substorms, ionosphere / thermosphere / lower atmosphere coupling
• But still need more obs e.g away from Geo, whole of thermosphere. Scintillation, aviation-level radiation
© Crown copyright Met Office
Examples of ways we are addressing these gaps
Heliospheric DA
RMSE in near-Earth solar wind speed Blue = prior state, from the MAS ensemble. Green = posterior state, from DA of STEREO A and B .
• Need data ahead of Earth to improve forecasts at Earth
• But need to run model back in time to update inner boundary –otherwise information gets swept out beyond 1 AU by solar wind
•Lang et al (2017) showed that EnKF can’t work with Enlil for this reason
•Applying 4D-Var to 2D solar wind model (Riley & Lionello) much more successful (Lang et al, 2018) since adjoint updates previous model state
•Window = 27 days. Simple linear model (NWP = 6 hrs). What about for an MHD model? Matt Lang (Paris), Matt Owens
(Reading)
• One model from the Earth’s surface to exobase
• Important role of lower level driving in thermos / ionosphericstate
A Whole Atmosphere model
Extend UM from 85 km upto the thermosphere
• Its non-hydrostatic formulation will make the UM unique amongst surface to thermosphere-spanning models.
Chartier et al, 2013
Focus on upward extension to ~170 km first
• physics & chemistry schemes in development
• In meantime, relaxation to T climatology gives stable testbed (100 km lid; 120 km lid being worked on)
• Modify GW parametrization to work in MLT
• Molecular viscosity for realistic wave damping in thermosphere – enables lid > 130 km
Matt Griffith (Bath), Chris Kelly (Leeds)
© Crown copyright Met Office
WMO observations requirements and data gaps
WMO Space Weather Observing
Requirements
•Rolling requirements – observations for operational SpWXhttp://www.wmo-sat.info/oscar/applicationareas/view/25
• "threshold" – min.
requirement for
useful data
•"goal" - ideal
•"breakthrough" -
intermediate level.
An optimum, from
cost-benefit POV,
when planning or
designing obs
systems.
WMO Statement of Guidance: assessment of adequacy of
observations to fulfill requirements; suggests areas of progress
towards improved observing systems.
http://www.wmo.int/pages/prog/www/OSY/SOG/SoG-SW.pdf
Future L1 and L5 Missions
• WMO / Met Office requirements fed into
ESA Phase 0, and Phase 1 / 2A studies
• CME
Detection
strongly
dependent on
STEREO and
SOHO (L1)
c/graphs
• Way past
their planned
lifetimes
Observation Instrument Priority
Coronal imagery (CME detection) Coronagraph M(andatory)
Imaging of transients on SEL Heliospheric Imager M
Photospheric full disk
magnetograms
Magnetograph M
EUV imaging of coronal structures
and solar activity
EUV Imager M
Solar wind plasma measurement Plasma analyser M
IMF vector measurements Magnetometer M
X-ray flux measurement X-ray flux meter M
Radio burst detection Radio receivers S(econdary)
Energetic particles Proton and electron
detector
S
Proposed Instrument Baseline for L5 Mission
WMO Statement of Guidance & Gap Assessment
Lower thermosphere ρ - Less than Marginal / Marginal – (limb
sounding UV) SSUSI and SSULI may meet reqs, but no info available
on accuracy, obs cycle and timeliness
Upper thermosphere ρ - Marginal – Swarm meets some reqs (not
timeliness, uncertainty, vert. res.). Partly addressed by new missions
eg GRACE follow-on? SSUSI/SSULI may meet reqs.
Wind: Lower and upper thermosphere - Poor – Only a few sparse FPI
observations. Poor timeliness. Awaiting ICON mission in 2017.
Accelerometer wind errors too large.
T: Lower Thermosphere - Marginal – OSIRIS data are available, but they
do not cover whole vertical range and have poor timeliness. Upper
Thermosphere - Poor – just FPI
Layer U/certainty Hor res Vert res Ob cycle Timeliness
ρ Hi Thermo 10/15/20 % 100/200/500
km
20/50/100
km
5s / 5 min
/ 30 min
30/45/60 min
ρ Lower
Thermo
5/7/10 % 100/200/500
km
5/10/25
km
5s / 60 s /
5 min
5/20/60 min
Possible solution: Fill gaps with smallsat
constellations (after QB50)
QB50 Objective: to carry out atmospheric research within the
lower thermosphere, between 200 - 380km altitude.
Instruments include Ion-Neutral Mass Spectrometer (INMS): T, ρ
Constellation designed
to be closer to WMO
vertical resolution
requirements
•Use nanoracks to launch
cubesat batches (ISS,
415km) 60 days apart =>
leads to separation in
altitude of O(10) km
•Also 8 Cubesats at 500
km
To be addressed in future mission
•Timeliness poor (no QB50 data reception budget)
•Maintaining full coverage – initial orbits, replenishing
constellation, small onboard propulsion systemsSee Caspi et al, submitted to Space Weather
© Crown copyright Met Office
• Met Office strategic goal for operational space weather forecasts:
• Big gaps between state of the art and where we want to be
• Further model and DA developments are required. Some being worked on (heliospheric DA, whole atmosphere modelling)
• Progress is also being held back by lack of sufficient observations
• WMO space weather team have provided observations requirements and analysed gaps
• Guide design for new operational L1 and L5 solar / heliosphere missions and new observations for the thermosphere.
• Greater publicity of WMO activities and interaction with other relevant groups (Smallsat researchers, CGMS, etc, etc) vital
• Maybe have an observations R2O workshop?
15
Conclusions