Land/Sea breeze influence on atmospheric stability and turbulent fluxes over a subtropical semiarid coastal lagoon in the Gulf of California
Bibliographic record
Abstract
The difference in surface temperature between the land and the sea creates a gradient that results in a breeze. Through this mechanism advection transports heat, that can enhance the turbulent kinetic energy (TKE) and the growth of the planetary boundary layer (PBL), and moisture that can deplete the height of the lifting condensation level (LCL). The North American Monsoon System drives the climate in the Sonoran coast of the Gulf of California, providing a unique opportunity to study the effect of land and sea breezes on local heat and moisture transport processes and land-surface atmosphere interactions overall. The objectives of this study are to characterize sea and land breeze over a coastal lagoon during the Pre- Monsoon, Monsoon, and Post-Monsoon season and analyze variation of atmospheric stability, turbulent fluxes, and LCL height under different seasonal and breeze conditions. The study site is a subtropical semiarid coastal lagoon, Estero El Soldado (MexFlux-EES), located in the Northwestern México (27°57.248’N, 110°58.350’W). Measurements were performed from January to December 2019 with an Eddy Covariance system (EC) and micrometeorological instruments over the water surface. Results show that sea and land breeze present a diurnal cycle, where sea breeze is more frequent during the day and land breeze at night. Sea breeze is more frequent and intense during the Pre-Monsoon and Monsoon seasons, while land breeze is more frequent during Post-Monsoon season. Atmospheric stability exhibited a diurnal cycle independently of seasons and breezes. During the Monsoon, sea breeze provides cooler humid air toward the land; in addition, with available energy for LE + H, and TKE, it leads to lower LCL (~ 800m) due to the amount of water vapor (q=23 g kg-1).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".