Locally relevant and decision relevant climate information is indeed a lot harder to produce (even in advanced nations with strong data and scientific enterprises), but so much more useful and usable by communities and individuals.
A senior colleague revealed to a bunch of students *in class* that I run an instagram account devoted to beans.
Selling Bahn Mis to Pennsylvanians
The Institute for Energy and the Environment here at Penn State worked with me on this Colorado River Q&A that just got published this week.
iee.psu.edu/news/blog/co...
Some pretty neat graphics too!
This is quite a comprehensive list. Some of the suggestions are terrible. Many are great (big ups to the famous @drjeffmasters.bsky.social flood risk assessment list).
This is also a 100% insane ask to put climate adaptation onus on individual homeowners when this is what is required.
🎁 link:
CSH's coolest #workshop is coming up! Join visualization pros Liuhuaying Yang and Paul Kahn, along with a talented team of experts from the worlds of art, #science, journalism, and #visualization. Don’t miss out—applications are open until March 20! 👉 vis.csh.ac.at/vis-workshop...
#dataviz
Join us this Thursday on a joint webinar with Penelope Mitchell, organized under the Women Advancing River Research series. I will be talking about complex water resources systems, uncertainty, and using scenario storylines (you know, the usual!)
Registration info below ⬇️
with new Jan 2025 data, and by popular request, RICH MAN POOR MAN purchasing power re-visioned for eggs:
Sorry if I missed it, but is this published somewhere as a resource? I would be very interested in reading more.
Thanks for sharing! I'm glad you liked it! It was a lot more work than we thought it'd be 😅
Data visualization is challenging, especially when moving from exploratory purposes (i.e., to discover or understand the data) to explanatory purposes (i.e., communication with others).
In a paper led by @hadjimichael.bsky.social we discuss different visuals iopscience.iop.org/article/10.1...
A year ago today the IPCC published its #AR6 Synthesis Report: Climate Change 2023
Finally releasing my 4th & final #infographic explaining — at a super high level — what the olympics of climate science had to say.
eciu.net/analysis/inf...
@ketanjoshi.co @katharinehayhoe.com @davidho.bsky.social
Sometimes I wonder if spring is coming much earlier because spring is coming much earlier.
www.washingtonpost.com/climate-envi...
Graham et al. delve into market integration's uncertainty impact on virtual water trading and regional water demands. Virtual water trading could increase by over 500% by 2100. Check out the findings:
www.sciencedirect.com/science/arti...
#WeAre hiring for a tenure-track faculty position in environmental engineering❗
CEE and IEEPennState are accepting applications for this new faculty position. For full consideration, apply by March 15.
Learn more and apply here ➡️ bit.ly/4bk0DgA
Coolest short story you'll watch today ⬇️
Exciting update! @copernicusecmwf.bsky.social - launch the Interactive Climate Atlas
atlas.climate.copernicus.eu/atlas
This new tool builds on the data of the IPCC Climate Atlas and enables exploration of CMIP6 climate projections and other datasets including observations and reanalysis.
We're looking to hire an Environmental Data Analytics Postdoc to join our team at Penn State and closely collaborate with Michael Waring (at Drexel) in a DOE-funded project and other opportunities. For more info and to apply: psu.wd1.myworkdayjobs.com/PSU_Academic...
Please share with your networks!
This paper is a fantastic resource on scientific data visualization best practice, especially if you, like me, dislike blunt visualization rules like "pie charts are bad".
Ways that researchers can improve the likelihood their outputs will have policy impact include but are not limited to:
• Don’t publish in a predatory/low-quality journal
• Make work open access or otherwise available
• Summarize findings in the title and abstract (please!)
• Talk about the work
Hello, I am here!
