The Great Slave Lake PyroCb of 5 August 2014: Observations, Simulations, Comparisons With Regular Convection, and Impact on UTLS Water Vapor
Bibliographic record
Abstract
Abstract This study analyzes a pyrocumulonimbus (pyroCb) that formed near Great Slave Lake in the Northwest Territories of Canada on 5 August 2014 using multiple satellite‐ and ground‐based data sets, meteorological reanalysis, and a cloud‐resolving model. Passive and active polar‐orbiting instruments and geostationary imagery detail the intense updraft column during the several hours‐long convective stage and capture the entire pyroCb life cycle. CloudSat radar reflectivity profiles and local soundings show the pyroCb cloud base was ≥1 km above the lifting condensation level. Comparisons with profiles through meteorological convection in the same region reaffirm previous evidence for delayed droplet growth within pyroconvective updrafts. The pyroCb penetrated the tropopause, reaching at least 14 km (θ≃ 380 K), and the detrained cirrus/smoke plume was tracked over the following 2 weeks using lagrangian trajectories, the Cloud‐Aerosol Lidar with Orthogonal Polarization and Microwave Limb Sounder. Microwave Limb Sounder ice water content and water vapor mixing ratio (WVMR) observations in the aging plume show ice sublimation occurred in the stratosphere, producing individual WVMR anomalies up to +5 ppmv and plume‐averaged anomalies up to +2 ppmv. Reanalysis indicates the pyroCb formed in favorable convective conditions, but we show the fire itself triggered convection because meteorological triggers were not colocated during initiation. Cloud‐resolving model simulations confirm this result when controlled for surface fluxes, initial thermodynamics, and aerosol loading. Sensitivity tests show surface heat flux is dominant in determining overall pyroCb intensity, but aerosols and moisture inflow can effect small changes in updraft velocity, anvil ice concentration, and detrained WVMR.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".