New paper. The Regional Air Quality Deterministic Prediction System (RAQDPS) describes an operational chemical forecast model, including comprehensive multi-year stratified analyses and a full description of the system.
I. https://t.co/UF18p0D8Wb
II. https://t.co/e7ECUi8ZCs
Bokeh 3.0 is out! 🎉✨
It includes:
- New contour plots,
- Restructured user guide,
- Expanded gallery examples,
- Layout engine overhaul,
- Improved widgets and tools,
- More accessible color palettes,
and many more exciting features!
Check it out: https://t.co/uV42kSJ4Ub
Invited speaker Tony Wexler discussed an emerging field with lots of potential in his talk "Improving the Computational Performance of Air Quality Models with Machine Learning Tools" at #CMASconf2022@UCIrvine
It's getting real! We are excited to announce our preliminary agenda for #CMASconf2022! Get a glimpse at all the fantastic sessions we will have, and take a look to see when you will be presenting, 🔜 https://t.co/Gend82Wi2V
‼️FINAL DAY for abstract submissions for #CMASconf2022! Members of the CMAS community who wish to present at the conference need to register & submit their presentation title, brief description, & preferred session by TODAY, July 25th! @UNC_IE@picai
https://t.co/uTAOLCJY94
@random_walker@mmitchell_ai Taking a step back, why do we say ML-based science is in crisis? There are two reasons: First, reproducibility failures in fields adopting ML are systemic—they affect nearly every field that has adopted ML methods. In each case, pitfalls are being independently rediscovered.
ML is being rapidly adopted in the sciences, but the gnarly problem of data leakage has led to a reproducibility crisis. In a new paper, @sayashk and I present "model info sheets" to catch leakage by guiding researchers through a series of ~20 questions https://t.co/HPV7tP1f1Z 🧵
Fortran is a well-aged programming language; rock-solid reliability and new support for parallel #programming make it an essential language for next-generation high-performance computing: Modern #Fortran is our Deal of the Day: https://t.co/UwLk32Ovl9 @realmilancurcic
There’s a reproducibility crisis brewing in almost every scientific field that has adopted machine learning. On July 28, we’re hosting an online workshop featuring a slate of expert speakers to help you diagnose and fix these problems in your own research: https://t.co/zexYmhkttp
Very pleased to have been able to contribute to this recently published study estimating wildfire-generated ozone over North America using ozonesonde profiles and a differential back trajectory technique https://t.co/zBJ2ddw7JZ @ELSenviron #atmoschem#AirQuality
Expected and observed post-lockdown levels of nitrogen dioxide (NO2) #airquality over Canadian locations using the @esa European Space Agency @tropomi satellite instrument for the period Mar 16 to Apr 30 from Environment and Climate Change Canada @ECCCSciTech.
S. Ontario:
Interactive data visualization tool for comparing time series of surface #ozone observations with output from the GEM-MACH #AirQuality model. Built with @BokehPlots.