Rodrigo Muñoz
@rodrigo-munoz.bsky.social
690 followers 2.6K following 43 posts
Climate Science PhD student at UNAM, México Socioeconomic impacts of climate change, renewable energy “And always, he fought the temptation to choose a clear, safe course, warning 'That path leads ever down into stagnation.'”
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rodrigo-munoz.bsky.social
I'm pleased to announce our newest paper published at Scientific Data, where we establish a framework for generating fast, custom SRM scenarios. This will allow us to develop probabilístic regional and global impact studies of geoengineering interventions.

www.nature.com/articles/s41...
GeoMIP-Pattern – a pattern scaling dataset for efficient generation of custom geoengineering scenarios - Scientific Data
Scientific Data - GeoMIP-Pattern – a pattern scaling dataset for efficient generation of custom geoengineering scenarios
www.nature.com
Reposted by Rodrigo Muñoz
drbrucewebber.bsky.social
"The greatest danger to our future is apathy. ... What you do makes a difference, and you have to decide what kind of difference you want to make." - Vale Jane Goodall (1934-2025).
Jane Goodall in a tall rainforest looking up into the canopy with binoculars in her hands.
rodrigo-munoz.bsky.social
What's happening with all those surplus PV modules?
rodrigo-munoz.bsky.social
I participated in this report by UNESCO, titled Who Bears the Costs? Addressing inequalities from climate change and climate action", published around two months ago. I designed three climate exposure and vulnerabiliy indices, which I'll explain in further posts.

doi.org/10.54678/GIX...
Cover of the UNESCO report titled "Who Bears the Costs? Addressing inequalities from climate change and climate action"
rodrigo-munoz.bsky.social
Voici le détail de la technologie, trouvé dans le deuxième article:

"Pour les férus de mécanique, l’ascenseur de Saint-Gervais repose sur un système de ballastières (sorte de cuve métallique) remplies d’eaux usées pour créer le déséquilibre nécessaire à son fonctionnement."
rodrigo-munoz.bsky.social
Ça me ennui que même fans l'article ils ne donnent plus de détails sur la "réutilisation des eaux usées." Je suppose qu'on produit de l'électricité avec le biogaz du traitement anaérobie des boues d'une station d'épuration
Reposted by Rodrigo Muñoz
alexmorss.bsky.social
❤️ It’s that time of year ! We’ve had some whoppers in our house.

Animation by @vsualarts

Poem: Mercy by Rudy Francisco

#Spiders
rodrigo-munoz.bsky.social
This is the press release for our recent paper regarding SRM model emulation for impact evaluation

rodrigoms95.github.io/eng/climate%...
rodrigo-munoz.bsky.social
The carbon footprint of a single query also seems to be suspiciously focused in a very narrow portion of the product's lifecycle. I'm guessing the model training is what consumes most energy and is not included in those calculations.
rodrigo-munoz.bsky.social
It is a nice vision, though I'd rather dream of dense networks of trams with a few niche uses of those EVs
rodrigo-munoz.bsky.social
Some thoughts on how residential energy consumption is expected to rise in a wamer climate (with very local projections!) and how countries with current low AC penetrations are expected to have double trouble with rising incomes.

rodrigoms95.github.io/eng/izcalli%...
Your electricity bill will be more expensive due to climate change
The impacts of climate change on our household economies will be considerable.
rodrigoms95.github.io
Reposted by Rodrigo Muñoz
evcurvefuturist.com
In 2019 BEVs were just 0.7% of new cars. By 2025 they hit 15.7%, with BEV+PHEV+HEV = 43%. Even on conservative estimates, BEVs will pass 50% by 2030 to become the #1 powertrain, while ICE crashes to ~15–20%. ⚡ From niche to dominant in a decade. #EV #BEV #Disruption #LFP #RIPICE
rodrigo-munoz.bsky.social
In this article I talk about how solar energy's variability is a challenge to its integration, and how storage is essential to a decarbonized grid.

rodrigoms95.github.io/eng/izcalli%...
The duck curve: solar energy’s challenge
A fundamental problem with solar energy is that it is variable.
rodrigoms95.github.io
rodrigo-munoz.bsky.social
The entire website is a gold mine for AI slop images
rodrigo-munoz.bsky.social
The entire website is a goldmine for AI slop images
rodrigo-munoz.bsky.social
"... how is it that people with this views always have to be..." I should not change the way a want to phrase something halfway through a sentence haha.
rodrigo-munoz.bsky.social
I know there's academic freedom, but one wonders how can people with these views always have to be professors from top universities.
rodrigo-munoz.bsky.social
I created my Github website four years ago and never really used it. I've now updated it with my research and conferences, and reposted some writing I've done on some other sites. I hope to keep it up to date more often.

rodrigoms95.github.io/eng/
A screenshot of the mobile version of my personal website.
rodrigo-munoz.bsky.social
Furthest I've been:

N: Abisko, Sweden
E: Tokio, Japan
S: Puerto Montt, Chile
W: Portland OR, US
paulakivimaa.bsky.social
Furthest I've been:

N: Kirkenes, Norway
E: Dalian, China
S: Pretoria, South Africa
W: Dallas, US
veramikkila.bsky.social
Furthest I’ve been:

N: Rovaniemi, Finland
E: Moscow, Russia
S: Cape Coast, Ghana
W: Baton Rouge, USA
rodrigo-munoz.bsky.social
Scaling patterns give us a glimpse of the regional impacts of geoengineering. Precipitation is particularly problematic, with both strong wetting and drying (and model disagreement) in the tropics. This is the percentage change in precipitation for every degree in global temperature reduced by SAI.
A global map representing the porcentage change in precipitation for every degree in global temperature reduced by stratospheric aerosol injection.
rodrigo-munoz.bsky.social
Pattern scaling, the focus of our paper, allows us to generate maps of temperature or precipitation anomalies for geoengineering scenarios using only global temperature increase due to GHGs and tenperature reduction due to aerosol injection. Custom scenarios can be modelled using climate emulators.
Scaling factors for GeoMIP-pattern. (a) Global mean near-surface temperature for the 6 GCMs that participated in the G6sulfur experiment, (b) Difference between G6sulfur and SSP5-8.5 global mean near-surface temperature.