Discover and read the best of Twitter Threads about #cmip
Most recents (3)
More #inclusive #openscience can help solve society’s most pressing problems—and at a faster pace—but making it mainstream requires systemic institutional change. Our new article: issues.org/opening-up-ope…
@libcce @cekroeger @theNASciences @theNASEM @AAUniversities
A thread🧵 (1/8)
@libcce @cekroeger @theNASciences @theNASEM @AAUniversities
A thread🧵 (1/8)
"The whole enterprise has to change to truly realize the full benefits of open science..... Technology has not only improved the speed at which science is carried out, but many of the problems scientists study, from climate change to #COVID19, demand urgency."🧵 (2/8)
The type of knowledge-sharing and collaboration exemplified by #CMIP and @pangeo_data must become standard, which requires institutionalizing these practices.🧵 (3/8)
gallery.pangeo.io/repos/pangeo-g…
gallery.pangeo.io/repos/pangeo-g…
Petit rappel des efforts à fournir dans la prochaine décade pour tenter de contenir le #rChangementClimatique à ±2°C (adaptation FR de la vidéo de @CarbonBrief)
Un post-it pour le réveillon avec le tonton ou le pote sceptique de service...
Bonne fin d'année à tous 😇
Un post-it pour le réveillon avec le tonton ou le pote sceptique de service...
Bonne fin d'année à tous 😇
Pour éviter la lecture vidéo (#CO2MonAmour), voici sa version papier ⬇️⬇️⬇️⬇️ 
Petit rappel (s'il le fallait encore) il est inutile de parler de causes naturelles ou de l'influence du soleil, l'origine anthropique du #ChangementClimatique ne fait aucun doute.
This thread is interesting. What are the real prospects for real time attribution of extreme climate events?
First thing to realize is that it depends on the kind of event. Heat waves, intense rainfall, fires, storms and so on have different dynamics (spatial scales, necessary background conditions etc).
Second point is that to attribute extremes in the way we have been doing (i.e. is there a greater chance of it happening now than before we affected the climate?), we need big data in order to estimate the likelihood of these rare events - tails of the distributions.
