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Christina Karamperidou @drxtinakar.bsky.social · 23/07/2026

Indeed, the same temperature can mean very different heating loads. It's the same blind spot we found on the cooling side, and let's just say HDD is very much on our radar. Stay tuned!

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Christina Karamperidou @drxtinakar.bsky.social · 23/07/2026

Yes, that energy isn't lowering the dry-bulb temperature. The total cooling load is split into the sensible part (which lowers the air temperature) and the latent part (which is spent condensing water vapor out). The sensible heat ratio is the fraction that goes to actual temperature reduction.

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Reposted by Christina Karamperidou

School of Ocean and Earth Science and Technology @soest.hawaii.edu · 22/07/2026

Research from UH Mānoa finds the traditional method for estimating air-conditioning and refrigeration energy demand is flawed. A new metric, effective cooling degree days, considers temperature and humidity and shows cooling efficiency has declined by 2–4%/decade since 1971 due to climate change.

soest.hawaii.edu

Research reveals how a changing climate reshapes cooling efficiency and energy demand

New research led by University of Hawai‘i (UH) at Mānoa atmospheric scientists found that the century-old yardstick used across many industries to estimate air-conditioning and refrigeration energy de...

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Christina Karamperidou @drxtinakar.bsky.social · 15/07/2026

💻 Code: github.com/jake-casselm... ⚙️ Install: pip install cedar-toolkit 📚 Docs: cedar-toolkit.readthedocs.io

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Christina Karamperidou @drxtinakar.bsky.social · 15/07/2026

Traditional Cooling Degree Days ignore how temperature and humidity affect cooling system efficiency. Our new paper introduces effective Cooling Degree Days (eCDD), a thermodynamics-based metric for representing cooling demand. Paper, code, and data are open source. www.nature.com/articles/s41...

nature.com

Efficiency-weighted cooling degree days reveal opposing temperature and humidity effects on energy demand - Nature Communications

A metric shows air conditioners work less efficiently as temperatures rise, while humidity can worsen or offset losses. Across North America, future cooling energy demand may grow far faster than stan...

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Christina Karamperidou @drxtinakar.bsky.social · 02/03/2026

Open Postdoctoral Researcher position in our research group at the University of Hawaiʻi (Honolulu). The position focuses on ML/AI model development and analysis for tropical-extratropical weather and climate research. Deadline: March 20. Apply here: tinyurl.com/hrx87fnf

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Christina Karamperidou @drxtinakar.bsky.social · 13/12/2025

Catch us at #AGU25! We’ll be presenting work spanning ENSO and Coastal El Niño dynamics, paleoclimate, atmospheric blocking/extremes, and heat impacts to people and infrastructure. Find links to presentations from group members and collaborators here: linktr.ee/ckaramp.rese...

linktr.ee

Karamperidou Research Group | Linktree

🌍 Climate models | 📊 Stats & ML | 🌦️ Exploring weather dynamics at UH Mānoa

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Christina Karamperidou @drxtinakar.bsky.social · 26/03/2025

I’m honored to have chaired the ENSO Winter School 2025 @uhmanoa.bsky.social, where we brought together bright minds from across the globe to deepen our understanding of El Niño–Southern Oscillation (ENSO) and build invaluable professional networks. www.hawaii.edu/news/2025/03...

hawaii.edu

El Niño research brings global experts to UH Mānoa | University of Hawaiʻi System News

This year marks the 50th anniversary of key milestones in ENSO research.

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Christina Karamperidou @drxtinakar.bsky.social · 29/12/2024

Open MS/PhD & postdoctoral researcher positions:

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Christina Karamperidou @drxtinakar.bsky.social · 30/09/2024

I want to thank the reviewers and the editor for making the review process a constructive, pleasant, and exciting experience! I am grateful! n/n

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Christina Karamperidou @drxtinakar.bsky.social · 30/09/2024

Another “unintended” conclusion from this study (thank you Reviewer #3) is that the DL blocking reconstruction lends support to tropical Pacific gradient reconstructions that are based on very sparse networks. 8/n

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Christina Karamperidou @drxtinakar.bsky.social · 30/09/2024

The deep learning reconstruction also shows an increased influence of ENSO post-1600 coinciding with a weaker tropical Pacific zonal temperature gradient: so much to unpack here! 7/n

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Christina Karamperidou @drxtinakar.bsky.social · 30/09/2024

A weaker gradient is consistent with hemispherically reduced blocking as CMIP models project, but if GHG forcing eventually leads to an increased gradient, we may also see increased atmospheric blocking and subsequent extremes. 6/n

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Christina Karamperidou @drxtinakar.bsky.social · 30/09/2024

This underscores how important it is for climate models to simulate trends in the tropical Pacific surface temperature gradient accurately. 5/n

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Christina Karamperidou @drxtinakar.bsky.social · 30/09/2024

The results provide paleoclimatic evidence supporting modeling studies that show that changes in the pattern of mean surface temperature in the tropical Pacific are an important factor in explaining patterns of change in blocking frequencies. 4/n

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Christina Karamperidou @drxtinakar.bsky.social · 30/09/2024

This new way to infer synoptic signals from low temporal resolution paleoclimate records is a flexible temporal downscaling method that can be used to derive variables with complex/unknown relationships to proxies that are not typically targeted in paleo reconstructions. 3/n

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Christina Karamperidou @drxtinakar.bsky.social · 30/09/2024

The study shows that even though the DL model ingests paleodata assimilation products and has no information on the location of paleoclimate proxies, it is implicitly constrained by them. 2/n

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