π Benchmarking CME Arrival Time and Impact: Progress on Metadata, Metriβ¦
Quicklook:
Verbeke, C. et al. (2019) Β· Space Weather
Reads: 95 Β· Citations: 55
DOI: 10.1029/2018SW002046
π https://ui.adsabs.harvard.edu/abs/2019SpWea..17....6V/abstract
#Astronomy #Astrophysics #SolarPhysics #CoronalMassEjectionsCmes #ModelValidation
Benchmarking CME Arrival Time and Impact: Progress on Metadata, Metrics, and Events
Accurate forecasting of the arrival time and subsequent geomagnetic impacts of coronal mass ejections (CMEs) at Earth is an important objective for space weather forecasting agencies. Recently, the CME Arrival and Impact working team has made significant progress toward defining community-agreed metrics and validation methods to assess the current state of CME modeling capabilities. This will allow the community to quantify our current capabilities and track progress in models over time. First, it is crucial that the community focuses on the collection of the necessary metadata for transparency and reproducibility of results. Concerning CME arrival and impact we have identified six different metadata types: 3-D CME measurement, model description, model input, CME (non)arrival observation, model output data, and metrics and validation methods. Second, the working team has also identified a validation time period, where all events within the following two periods will be considered: 1 January 2011 to 31 December 2012 and January 2015 to 31 December 2015. Those two periods amount to a total of about 100 hit events at Earth and a large amount of misses. Considering a time period will remove any bias in selecting events and the event set will represent a sample set that will not be biased by user selection. Lastly, we have defined the basic metrics and skill scores that the CME Arrival and Impact working team will focus on.
A new version of the Open Source Brain (#OpenSourceBrain) model validation framework was just released. Please update your installations:
```
pip install -U OSBModelValidation
```
https://github.com/OpenSourceBrain/osb-model-validation/releases/tag/v0.3.9
#OMV is a #Python package that allows you to validate your #NeuroML models against different simulation engines---to ensure that you get the same behaviours on all these engines. Examples:
https://github.com/OpenSourceBrain/.github/blob/main/testsheet/README.md
#FAIR #ComputationalNeuroscience #Neuroscience #ModelValidation
Release v0.3.9 Β· OpenSourceBrain/osb-model-validation
What's Changed
Main tests run on py 3.11; use updated moose & neuron by @pgleeson in #139
Feat: remove double error printing by @sanjayankur31 in #144
Feat: use jnml from pyneuroml by @sanjayankur...
Beware Pretty Models - Terence Tao on Lex Fridman
#modelvalidation #systemicrisk #centrallimittheorem
π Thank you Isabel Zimmerman for spending your valuable time with us! π‘
π½ The recording of the talk is now available on Youtube:
πhttps://www.youtube.com/watch?v=i7sjeafdFqI
@fgazzelloni @silacos Rafaela Ribeiro Lucas
#mlops #modeling #modelvalidation #rstats
R-Ladies Rome (English) - Extending the data science workflow: {vetiver} and {pins}
π€ Get ready for R-Ladies Rome March event with Isabel Zimmerman talking us about ππ±πππ§ππ’π§π ππ‘π ππππ π¬ππ’ππ§ππ π°π¨π«π€ππ₯π¨π°: {π―πππ’π―ππ«} ππ§π {π©π’π§π¬} π
π When: Friday, March 22 2024 at 6:00 PM CET
π RSVP: https://www.meetup.com/rladies-rome/events/299320624/
@RLadiesGlobal @fgazzelloni Silvana Acosta Claudia Vitolo #rladies #rstats #modeling #modelvalidation #datascience #rconsortium
Extending the data science workflow: {vetiver} and {pins}, Fri, Mar 22, 2024, 6:00 PM | Meetup
Data practitioners possess a robust skill set in data analysis and model development. However, there's often a gap in understanding tasks beyond the conventional data scien
ValidMind raised $8.1M in seed funding for its AI model risk management platform. The platform automates documentation and governance tasks in the financial services sector and streamlines the #modelvalidation process.
#validmind #ai #modelrisk #financial #bank #funding #finance
π€ Get ready for R-Ladies Rome March event with Isabel Zimmerman talking us about ππ±πππ§ππ’π§π ππ‘π ππππ π¬ππ’ππ§ππ π°π¨π«π€ππ₯π¨π°: {π―πππ’π―ππ«} ππ§π {π©π’π§π¬} π
π When: Friday, March 22 2024 at 6:00 PM CET
π RSVP: https://www.meetup.com/rladies-rome/events/299320624/
@RLadiesGlobal @fgazzelloni Silvana Acosta Claudia Vitolo #rladies #rstats #modeling #modelvalidation #datascience #rconsortium
Extending the data science workflow: {vetiver} and {pins}, Fri, Mar 22, 2024, 6:00 PM | Meetup
Data practitioners possess a robust skill set in data analysis and model development. However, there's often a gap in understanding tasks beyond the conventional data scien
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