CliMA

An alliance of scientists and engineers @caltech @mit and @nasajpl building the first Earth system model that automatically learns from diverse data sources.

[CliMA @ClimateMachine]

Today! 🎊

[CliMA @ClimateMachine]

JAMES @theAGU will have a CliMA Earth System Model special collection. Will open for submissions this June 30. https://t.co/4TahubOxQq

[CliMA @ClimateMachine]

Wishing so much happiness to all at #Caltech2023 commencement. Congratulations to our CliMA family Haakon, Ronak, and Dr. Ignacio 💙

[Caltech Environmental Science and Engineering @CaltechESE]

A beautiful evening celebrating our #Caltech2023 graduates @CaltechESE 🎉🎉🎉 We are so proud of you and we are so excited for your bright future ahead!

[CliMA @ClimateMachine]

JAMES @theAGU will have a CliMA Earth System Model special collection. Will open for submissions this June 30. https://t.co/4TahubOxQq

[JuliaHub @JuliaHub_Inc]

The 2023 Julia User & Developer Survey is now open!
Click here to participate: https://t.co/YPssoxuLF7
Julia users and #developers are encouraged to participate. The #survey is available in English, Spanish, Chinese (Simplified and Traditional), Japanese and Korean.
#julialang

[CliMA @ClimateMachine]

One of our goals at CliMA is to use observations to inform our climate model. In this blog post, we give an introduction to ensemble Kalman inversion, a tool we use extensively to achieve this. https://t.co/NkUSfW5Of6

[CliMA @ClimateMachine]

Thank you @RenatoBraghiere

[CliMA @ClimateMachine]

Next generation Land model developed in CliMA is ready to simulate fluxes and hyperspectral canopy optical properties at the same time. Example of the model simulated solar-induced chlorophyll fluorescence (SIF). Read the blog: https://t.co/s7nATzMD0c

[CliMA @ClimateMachine]

We have launched the CliMA Newsletter. Please click through and join our mailing list. https://t.co/pt2OnZ49nd

[CliMA @ClimateMachine]

Harnessing full power of data and #machinelearning in #EarthSystemModeling requires flexible learning methods to deal with indirect and #noisydata. We demonstrated that #ensembleKalmanprocesses can aid in this challenging task. #JuliaLang https://t.co/yCR6Mqb3Al

[CliMA @ClimateMachine]

Understanding the probability of #extremeweather events requires specialized statistical tools. CliMA researchers are exploring these for future use with simulations from the CliMA Earth System Model. #uncertainty #simulation #sampling #bootstrapping https://t.co/e8pfH2lvZS

[CliMA @ClimateMachine]

@ARenchon @Caltech @chr_fronge @JuliaLanguage Happy welcome @ARenchon ☁️

[CliMA @ClimateMachine]

GRIDDINGMACHINE is a new database and software to share global datasets. We aim to maximally reduce the time used to find and access datasets. https://t.co/InZmFptopJ #JuliaLang #MATLAB #GNUoctave #pythonprogramming #Rprogramminglanguage

[Caltech @Caltech]

How do we know if extreme weather events can be attributed to climate change?

Tapio Schneider, of @ClimateMachine, answers:
https://t.co/gxCwx6kY9y

[Caltech Environmental Science and Engineering @CaltechESE]

Check out the stellar research one of our @Caltech SURF students completed this summer! Stay tuned for more!

[CliMA @ClimateMachine]

At CliMA, we've developed an automated algorithm that finds when, and where, we should collect data to best inform climate models https://t.co/7xoTYm5pt5

[PLOS Comp Biol @PLOSCompBiol]

Tools from weather forecasting at the backend of exposure notification apps can help individuals assess their infection risks and can be used to manage and control future epidemics.
@ClimateMachine
https://t.co/BhmpUDYNn7

[APS GPC @APS_GPC]

Climate-physics-curious? Sign up for the new GPC virtual seminar series! Prof.
Tapio Schneider and Prof. @MorganEONeill will be speaking on July 20th and August 17th! @ClimateMachine @APSphysics

https://t.co/NcyljyKjim

[CliMA @ClimateMachine]

Methods from Weather Forecasting Can Be Adapted to Assess Risk of COVID-19 Exposure
https://t.co/ZcQU3bKI41