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Record W4408443984 · doi:10.5194/egusphere-egu25-1598

Direct cooling of the atmosphere by heat transfer

2025· preprint· en· W4408443984 on OpenAlexaff
Dimitre Karamanev

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicRanque-Hilsch vortex tube
Canadian institutionsWestern University
Fundersnot available
KeywordsAtmosphere (unit)Heat transferEnvironmental scienceAtmospheric sciencesMeteorologyPhysicsMechanics

Abstract

fetched live from OpenAlex

So far, attempts to mitigate global warming have been based exclusively on the reduction of carbon dioxide concentration in the atmosphere. That of course eliminates the root cause of global warming. However, one of the problems with this approach is that the lifetime of CO2 in the atmosphere is very long and the effect of the CO2 emission reduction on atmospheric temperature decrease will only become meaningful after many decades.In this work I propose to reduce or even eliminate the increase of global surface air temperature (GSAT) by removing sensible heat from the atmosphere and transferring it to media outside the atmosphere such as water or land mass. One of the main advantages of atmospheric heat removal is that unlike CO2 emission reduction, it has an immediate effect on atmospheric temperature. Also, the proposed technical solutions for heat removal from the atmosphere are simple, inexpensive, and well developed.Usually, the first reaction to my proposed solution is: You cannot mitigate global warming by transferring heat from one medium to another! Actually, I propose to mitigate just the atmospheric global warming which currently is the main cause of climatic devastation. The atmospheric heat will be transferred to a heat sink (the ocean and/or land) having at least 1000 times larger heat capacity; the heating effect of the heat sink will be negligible, as shown in my work.Another question is: would heat transfer to the ocean cause change its temperature and/or ocean currents? Currently, our society dumps 0.25 ZJ/year of heat to water (ocean and inland), which is almost twice the amount (0.13 ZJ/year) needed to transfer to the ocean to stop atmospheric global warming. And the current anthropogenic heat input to water is not considered a climate change or ocean change factor at all, for example by the IPCC.Warming of the ocean surface is another potential question. My work shows a method of transferring heat to the ocean without increasing its surface temperature at all. The only parameter that will change is the increase of mixed layer by 3 cm/year.In order to stop global warming of the atmosphere, i.e., to flatten the GSAT vs. time curve, the total cost of the heat exchangers for 10 000 atmospheric cooling stations, located around the globe, is expected to be as low as $8.4 Billion. The area required for each cooling station will be between 0.01 and 0.5 km2.The main disadvantage of direct atmospheric cooling is that it cannot be used indefinitely. Heat sinks cannot be heated for more than 5-10 decades to avoid overheating. Therefore, the proposed method will act as a “bridge” between now and the time when carbon dioxide and other greenhouse gas emissions are drastically reduced, when carbon capture and storage becomes meaningful on a planetary scale, and/or until technology for the transport of long-wave electromagnetic energy to space is developed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.200
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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