ESCAPE OSSR Onboarding: CME Database Working Group Overview
The ESCAPE OSSR onboarding project focuses on studying Coronal Mass Ejections (CMEs) from the Sun by analyzing data from an ICME database. The team uses various sources to estimate CME sources, evaluate their characteristics, associate CME propagation with Solar Wind types, and more. The database contains 217 ICME entries with valuable insights gathered over the past 20 years. Funded by the European Union's Horizon 2020, this research sheds light on the behavior of CMEs in the Heliosphere.
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ESCAPE OSSR onboarding: A CME database Woring group: Dario Del Moro1, Jannis Teunissen2, Enrico Camporeale3, Gianluca Napoletano1, Ajay Kumar Tiwari2, Raffaello Foldes4, Giancarlo de Gasperis1 1: Universit degli Studi di Roma Tor Vergata 2: Centrum Wiskunde & Informatica 3 University of Colorado, Boulder and NOAA Space Weather Prediction Center 4 Universit degli Studi dell'Aquila Funded by the European Union s Horizon 2020 - Grant N 824064 1 23/07/2021 D. Del Moro, UNITOV
Context Coronal Mass Ejection are expulsions of plasma and magnetic field from the Sun CME properties at launch are hard to measure I-CME properties during cruise in the Interplanetary Space are nearly impossible to measure We model their propagation We measure the effects of their transit at a few locations in the Heliosphere Funded by the European Union s Horizon 2020 - Grant N 824064 2 23/07/2021 D. Del Moro, UNITOV
How we built it We get info from ICME database by Richardson&Cane (Unique handle + Chars at arrival) SOHO-LASCO CDAW database (CME PoS position vs time close to lift-off) Heliophysics Event Knowledgebase (features/events on the Sun to estimate CME source) Then we do: 1) estimate CME source 2) deproject CME front position 3) evaluate CME chars at 20R_Sun 4) associate CME propagation with a Solar Wind type 5) Evaluate drag parameter and Solar Wind value for each ICME Funded by the European Union s Horizon 2020 - Grant N 824064 3 23/0 7/2021 D. Del Moro, UNITOV
The Database 217 ICME Entries Funded by the European Union s Horizon 2020 - Grant N 824064 4 23/07/2021 D. Del Moro, UNITOV
A quick-look to the Database Distribution of the selected ICME in our data set along the past 20 years. The orange line represents the average SoA of ICMEs for each year, the error bar represents the relative standard deviation. (From left to right) Probability distribution of the ICME ToA, SoA, linear plane-of-sky lift-off speed and de-projected lift-off speed obtained with from whole ICME data set. In every panel, the vertical dashed line (black) is the average value, also reported within each panel. Funded by the European Union s Horizon 2020 - Grant N 824064 5 23/07/2021 D. Del Moro, UNITOV
Use cases How would a typical use case for the data look like? Are there already plans to implement the use case? PDFs for (left column) and the joint distributions (right column) obtained from the inversions of the ICMEs in the database. The lognormal function (blue line) used in Paper I is also plotted for comparison. In each panel, the inset shows the same plot on a log-log scale for an extended range. Funded by the European Union s Horizon 2020 - Grant N 824064 6 23/07/2021 D. Del Moro, UNITOV
How it is now? In which way is the data/service currently offered? ICME_dataset_V3.0.csv Which interfaces/software are needed? --- Is there already metadata offered with the service? Add quicklook programs to go with the database? Is it registered in any platforms like zenodo? NO We need: Versioning, Referencing Funded by the European Union s Horizon 2020 - Grant N 824064 7 23/07/2021 D. Del Moro, UNITOV
