Postdoc Appreciation Week: Meet Huilin Huang https://t.co/CHex3WukWM
It is a great honor to share my work experience with colleagues within and outside PNNL.
Now online: "Quantifying airborne fraction trends and the destination of anthropogenic CO2 by tracking carbon flows in a simple climate model" by Pressburger -- her first paper! 👏-- w/ @krdorheim@trevorkeenan @HMcJeon3y4 @StevenJSmith20 https://t.co/ZIjYvnxT07
Agriculture plays an important role in the carbon cycle. That's why accurately depicting the processes tied to crop production is key for building better climate projections.
Learn how our researchers are working to better represent ag in climate models: https://t.co/eGD88FkoDe
Ever thought of making the jump to communications at a National Lab? Now might be the time - PNNL Comms is hiring! Specifically, one of the open roles has a chemistry focus, covering the chemistry side of PNNL's renewable energy portfolio. Apply today! https://t.co/sCIBuT7VRK
@BenBondLamberty@JGRBiogeo Thank you @BenBondLamberty !!! Really excited to see our work published. Had a really positive experience publishing in @JGRBiogeo!!! A big THANK YOU to two amazing reviewers 🙏who had a lots of suggestions but with the sole intent of helping to improve the manuscript.
We @ORNLBio_Env are looking for a Postdoc with interest and expertise in Machine Learning and Remote Sensing to lead the work on development of ML algorithms and scalable geospatial analytics methods to study vegetation in natural and managed ecosystems.
https://t.co/hl4v95RLLY
My @PNNLab colleague @krdorheim has released version 3 of our simple carbon/climate model Hector 🎉 https://t.co/gxJ9XrIlPe Congratulations to all involved!
“Effective decarbonization strategies at national scales are essential for meeting our common climate goals. I’m excited to bring together best and brightest research to support nations’ decarbonization efforts.” —Earth scientist @HMcJeon3y4 https://t.co/FrZUHTPIqB
4/4. We used carbon and energy flux measurements from perennial crop sites at the @UIUCEnergy Farms for calibrating and validation the model @CBernacchi @moore_science_ .
3/4. We developed ELM model surrogates, conducted a global sensitivity analysis, and carried out Bayesian calibration using @SandiaLabs Uncertainty Quantification Toolkit (https://t.co/D0FuqL0yng).