ATMOP Partners
ATMOP FP7 project 2
Centre National de la Recherche Scientifique (CNRS),
France
• 7th framework project selected by the European Commission• Project duration: 3 years• Kick-off: 1/1/2011 • 7 partnersDEIMOS Space (DMS), Spain
Met Office (MET), United Kingdom
Centre National d’Etudes Spatiales (CNES), France
University College London (UCL), United Kingdom
Collecte Localisation Satellites (CLS),
FranceKybertec s.r.o. (KYBERTEC), Czech Republic
DTM: Development of an advanced semi-empirical Drag Temperature Model
– that has the potential to be adapted for near-real-time operation and – that is accurate enough to meet the requirements set by space agencies for orbit
computations..
PHMOD: Physical modelling of the thermosphere PROX: Define and assess new proxies to describe the external (EUV
and geomagnetic) forcing of the thermosphere by the Sun which take advantage of the present state of the art in observational and data analysis capabilities.
THERM: Support European research activities on forecasting techniques:
– by upgrading assimilation of thermosphere data into an existing semi-empirical model for near-real time prediction
– by developing thermosphere data assimilation based on a global physical thermosphere-ionosphere coupled model (CMAT2)
ATMOP objectives
ATMOP FP7 project 3
ATMOP Work Packages
ATMOP FP7 project 5
WP1 Project ManagementDEIMOS
WPL: N. Sánchez Ortiz
WP2Forcing the thermosphere: physical processes and proxies for semi-empirical modelling
CNRSWPL: Ch. Lathuillère
PROX, DTM, PHMOD
WP3 Physical Modelling of thermospheric drag processes
UCLWPL: A. Aylward
PHMOD, DTM
WP4 Semi-empirical modelling of the thermosphere
CNESWPL: S. Bruinsma
DTM
WP5Data assimilation for global analysis and near-real time prediction
Met OfficeWPL: D. Jackson
THERM, DTM, PHMOD
WP6 Dissemination CNRSWPL: M. Menvielle
ATMOP outputs and deliveries
ATMOP FP7 project 6
Fully documented harmonized database of thermospheric densities
ATMOP website: CD with all documentation and software for website installation
on any platform Solar EUV bands and proxies to be used as inputs for the DTM
model: Recommendations for the most appropriate EUV bands and
proxies Database Nowcast and prototype forecast
Geomagnetic proxies to be used as inputs for the DTM model : Recommendations for the most appropriate EUV bands and
proxies Database Nowcast and prototype forecast
Physical investigations on electrodynamic forcing
ATMOP outputs and deliveries
ATMOP FP7 project 7
Comparison between physical model (CMAT2) outputs and
observation data
Assessment of data assimilation performances
Evaluation on the use of drag data assimilation for the improvement
of short-term forecast
Thermospheric data assimilation system for DTM
DTM_2011 model package: model, benchmark, and documentation
DTM_2012 model package: model, benchmark, and documentation
DTM_nrt model package: model, benchmark, and documentation
Pert diagram
ATMOP FP7 project 8
ATMOP
WP 1 WP 2 WP 3 WP 4 WP 5 WP 6
Task 2.1 Task 3.1 Task 4.1 Task 5.1
Task 2.2 Task 3.2 Task 4.2 Task 5.2
Task 2.3 Task 3.3 Task 4.3 Task 5.3
Task 2.4 Task 3.4 Task 4.4 Task 5.4
Task 2.5 Task 3.5 Task 4.5 Task 5.5
Task 3.6 Task 5.6
Task 5.7
Project Management
Physical processes and proxies
Database construction for
proxies assessment
Solar UV forcing and solar proxies
Physics of Ectrodynamic
forcing
Geomagnetic proxies
Final Report Writing
Physical Modelling of Thermospheric Drag processes
Evaluate best of CMAT2 to use for
the study
Initial Model runs
Runs to evaluate use of different input proxies
Comparison with data
Evaluation of data assimilation
Final Report Writing
Semi-empirical modelling of the Thermosphere
Creation of the density database
Revision and Upgrading of the
DTM model
Validation of the model parameters
Validation of the density models
Final Report Writing
Final Report Writing
Data assimilation: global analysis and
near-real time prediction
Design of data assimilation system
Observation processing and quality control
Thermospheric data assimilation in DTM
Dissemination
Thermospheric data assimilation using physical models
Thermospheric data assimilation using
DTM
Assessment of thermospheric data assimilation results
WP2: Forcing the thermosphere: physical processes and proxies
ATMOP FP7 project 9
Objectives:
to identify the best possible EUV and geomagnetic proxies for describing the solar and geomagnetic forcing of the thermosphere;
to set up tools enabling timely on-line delivery and nowcast of the proxies to be used in the pre-operational Drag Temperature Model (DTM);
to develop a prototype forecast of EUV forcing up to several days ahead;
to develop a prototype forecast of the geomagnetic proxies based on solar wind data at L1;
to understand the influence and relative importance of various physical processes in the solar wind- magnetosphere-ionosphere system on the behavior of the semi-empirical model.
WP3: Physical Modelling of Thermospheric Drag Processes
ATMOP FP7 project 10
Concept and objectives:
To assist development of the semi-empirical
thermospheric density model DTM by evaluating
possible improvements and changes using a physical
model of the coupled thermosphere-ionosphere system
To build capability for ionosphere / thermosphere data
assimilation based on a global physical model, which
shall ultimately be the successor to semi-empirical
methods
WP4: Semi-empirical Modelling of the Thermosphere
ATMOP FP7 project 11
Objectives:
Creation of a density data base
Revision and upgrading of the DTM model
DTM_2011 model package. The model, benchmark and
documentation (new solar indices)
DTM_2012 model package. The model, benchmark and
documentation (new geomagnetic indices)
Validation of the model parameters
Validation of the density models through orbit computations
WP5: Data assimilation for global analysis and near-real time prediction
ATMOP FP7 project 12
Objectives: Develop a version of the DTM thermosphere model that can
assimilate total density data in near-real time (DTM_nrt). Analyze methods to predict density using DTM. Users can install and run a version of DTM_nrt on-site. The model will be driven by a data file containing all parameters necessary for the density prediction. The production and distribution of this data file in near-real time is not an ATMOP objective. DTM_nrt model package. The model, benchmark and
documentation Develop a global analysis and forecast system for the
thermosphere and ionosphere based on data assimilation into a physically evolving global forecast model. The aim is to build capability for a future system which incorporates assimilation of a variety of thermosphere and ionosphere observations, in the manner of an operational meteorological system.
ATMOP & NADIR
ATMOP FP7 project 14
We propose: To exchange products (indices, models, …), for independent
evaluation To exchange results of studies To compare and discuss our approaches (modeling, construction
of a particular index, data assimilation, …) …
NB: I can send the detailed work package descriptions