CliMA
@ClimateMachine
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An alliance of scientists and engineers @caltech @mit and @nasajpl building the first Earth system model that automatically learns from diverse data sources.
Pasadena, CA
Joined November 2018
Today! 🎊
JAMES @theAGU will have a CliMA Earth System Model special collection. Will open for submissions this June 30.
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Wishing so much happiness to all at #Caltech2023 commencement. Congratulations to our CliMA family Haakon, Ronak, and Dr. Ignacio đź’™
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A beautiful evening celebrating our #Caltech2023 graduates @CaltechESE 🎉🎉🎉 We are so proud of you and we are so excited for your bright future ahead!
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JAMES @theAGU will have a CliMA Earth System Model special collection. Will open for submissions this June 30.
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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
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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.
clima.caltech.edu
By Eviatar Bach and Oliver Dunbar To understand this blog post, you will need some basic familiarity with probability (Bayes’ theorem, covariance) and multivariate calculus. In climate modeling, sm…
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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
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We have launched the CliMA Newsletter. Please click through and join our mailing list. https://t.co/pt2OnZ49nd
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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
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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
clima.caltech.edu
Weather disasters are extremely damaging to humans (e.g., severe storms, heat waves, and flooding), our livelihoods (e.g., drought and wildfire), and to the environment (e.g., coral bleaching via m…
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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
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How do we know if extreme weather events can be attributed to climate change? Tapio Schneider, of @ClimateMachine, answers: https://t.co/gxCwx6kY9y
scienceexchange.caltech.edu
Extreme event attribution quantifies how likely extreme weather events are with anthropogenic (human-caused) climate change and without it.
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Check out the stellar research one of our @Caltech SURF students completed this summer! Stay tuned for more!
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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
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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
journals.plos.org
Author summary During the ongoing COVID-19 pandemic, exposure notification apps have been developed to scale up manual contact tracing. The apps use proximity data from mobile devices to automate...
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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
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Methods from Weather Forecasting Can Be Adapted to Assess Risk of COVID-19 Exposure https://t.co/ZcQU3bKI41
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At CliMA, we have created a library of large-eddy simulations for calibrating convective parameterizations in global climate models.
clima.caltech.edu
Low clouds play an important role in Earth’s energy budget, but they are poorly represented in global climate models (GCMs). The resolution of GCMs, which is on the order of 100 km in the hor…
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And...It's a wrap! The students at the Grad Student Math Modeling Camp @UDelaware did an amazing job, going way above&beyond any expectations. We modeled rain drops💧and snowflakes ❄️ in cloud microphysics processes 🌨️ Important aspects of climate models. @ClimateMachine #mentor
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