Christian Franzke · @chlef
91 followers · 24 posts · Server fediscience.org
Are you working on #Stochastic #Dynamics, #Uncertainty #Quantification or #Probabilistic #MachineLearning in the #EarthSciences ?
Consider submitting an abstract to our #EGU23 session:
https://meetingorganizer.copernicus.org/EGU23/session/45658
#atmosphere #ocean #cryosphere #solidearth
#hydrologicalcycle #biogeochemicalcycles #climate #nonlineardynamics
#EGU #nonlineardynamics #Climate #biogeochemicalcycles #hydrologicalcycle #solidearth #cryosphere #ocean #atmosphere #EGU23 #EarthSciences #machinelearning #probabilistic #quantification #uncertainty #dynamics #stochastic
Allyson Lister · @allysonlister
50 followers · 50 posts · Server fediscience.org
Robert Crystal-Ornelas et al. have just published a lovely paper on Enabling #FAIR data in #EarthSciences and #EnvironmentalSciences with community-centric (meta)data reporting formats https://www.nature.com/articles/s41597-022-01606-w
#FAIRstandards
Thanks for the citation of #FAIRsharing too!
Box 1 in particular has some handy hints for getting your community started down the #FAIR road!
#FAIRsharing #fairstandards #environmentalsciences #EarthSciences #fair
Victor Venema · @VictorVenema
1480 followers · 1653 posts · Server fediscience.org@JohannesBreuer Do you happen to know of any studies on #reproducibility in the #EarthSciences, even better #AtmosphericSciences or #climatology?
My impression is that my field does not have much problems in this respect, but it would be nice to see some hard evidence. If not, it would also be interesting to understand why not, that could be useful for other fields.
#climatology #AtmosphericSciences #EarthSciences #reproducibility