trustmebro.to/r/…
✓ checked
trust me, bro:
here is the receipt.
the claim

Fog incidence can be accurately estimated based on ocean surface temperature

the verdict
SUPPORTED
the evidence backs this
Recorded sources
5 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that fog incidence can be accurately estimated based on ocean surface temperature?

Yes. Multiple meteorological and oceanographic studies confirm that sea surface temperature plays a critical role in driving marine boundary layer dynamics, allowing fog incidence to be accurately modeled and estimated using thermal data.

Verdict: SUPPORTED · 5 sources for, 0 against · Last checked

The analysis

The retrieved papers provide robust, specific evidence (papers [3], [4], [5], [10], and [11]) showing that sea surface temperature (SST) is a key driver of marine fog formation and that incorporating SST data into numerical or machine learning models substantially improves fog prediction accuracy. There are no papers contradicting this relationship.

Evidence for · 5
The Effect of Variable Sea Surface Temperature on Forecasting Sea Fog and Sea Breezes: A Case Study
2012
Get citation
Tang, Y. (2012). The Effect of Variable Sea Surface Temperature on Forecasting Sea Fog and Sea Breezes: A Case Study. doi.org. https://doi.org/10.1175/jamc-d-11-0253.1

See more details
More for · 4
Impact of high‐resolution ocean–atmosphere coupling on fog formation over the North Sea
2019
Get citation
Fallmann, J., Lewis, H., Sanchez, J. C., & Lock, A. (2019). Impact of high‐resolution ocean–atmosphere coupling on fog formation over the North Sea. doi.org. https://doi.org/10.1002/qj.3488

The influence of synoptic‐mesoscale winds and sea surface temperature distribution on fog formation near the Korean western peninsula
2006
Get citation
Choi, H. & Speer, M. S. (2006). The influence of synoptic‐mesoscale winds and sea surface temperature distribution on fog formation near the Korean western peninsula. doi.org. https://doi.org/10.1017/s1350482706002398

Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML
2024
Get citation
Sim, S., Im, J., Jung, S., & Han, D. (2024). Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML. doi.org. https://doi.org/10.3390/rs16132348

A Coupled Numerical Modeling Study of a Sea Fog Case After the Passage of Typhoon Muifa Over the Yellow Sea in 2011
2021
Get citation
Kim, S., Moon, J., & Kim, T. (2021). A Coupled Numerical Modeling Study of a Sea Fog Case After the Passage of Typhoon Muifa Over the Yellow Sea in 2011. doi.org. https://doi.org/10.1029/2020JD033875

Related receipts
Receipt History
first checked04 Aug 2026
judged → SUPPORTED · 8304 Aug 2026
Anyone with this link can read the claim and its public receipt, including any personal information in that text. Open permanent receipt.
Check your own claim
Challenge the receipt
Requests are recorded for review. This does not start an automatic check or guarantee a response time.

See the evidence timeline

Citation formatting by citeproc-js (Frank Bennett) and the Citation Style Language project. Source and licenses.

This receipt is an automated verdict against our published method · not an opinion about any author or publication.
Terms · Privacy · How verdicts work