Top Tweets for #pysteps
New #pysteps 1.7.1 release is out with various minor improvements and bug fixes, including contributions from our small hackathon during the #ERAD2022 short-course.
https://t.co/x84699lP3A #nowcasting #precipitation
What a day! Ahead of @EradSwitzerland, we met for a full-day short course on precipitation nowcasting with #pysteps. Curious to see more? Checkout the course material here: https://t.co/bTCIN9sdBJ
#pysteps 1.7 has been released. Various community contributions and bug fixes. New feature: add option for saliency-based blending. https://t.co/x84699lP3A #nowcasting #precipitation
Registration to our #pysteps shortcourse "Precipitation nowcasting in the wild" is now open! ⛈️☔️
The course is hosted by @EradSwitzerland and will take place both in presence and virtually on Aug 28, 2022.
Course description and registration 👇
Finally, what's next for #pysteps? We are currently working on v2 which will adopt @xarray_dev as data model, implement methods to blend with other sources of forecasts, and set the right basis for including deep learning models. Join this effort here https://t.co/EmNAGam2XF
Here are some of the #OpenSource climate tools that we use:
@ESMValTool
#pySTEPS
#ADAGUC
Want to know how?
If you use #pySTEPS, a minor bug with the advection_correction has just been fixed
🔗https://t.co/9pdB9IOM1h
Luotettavat sade-ennusteet auttavat ennakoimaan tulvia ja muita rankkasateiden vaikutuksia. Avoimen lähdekoodin ohjelmistolla sade-ennusteita voidaan tuottaa tutkamittauksista. https://t.co/kFe1y59RO6 #pysteps #avoinlähdekoodi #python #sade #sää
Our model description paper about #pysteps is open for discussion!
The manuscript goes together with the recent V1.0.0 release, also available on #condaforge: https://t.co/lDeeAyQdAu
More info: https://t.co/e87n5w5Jtb
@carlosvelasco #opensource #python #rainfall #nowcasting
Discussion open for comments: Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0) https://t.co/QkaFEJ6nmp
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