An alliance of scientists and engineers @caltech @mit and @nasajpl building the first Earth system model that automatically learns from diverse data sources.
A beautiful evening celebrating our #Caltech2023 graduates @CaltechESE πππ We are so proud of you and we are so excited for your bright future ahead!
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
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
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
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
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
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
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