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Douglas Orson ReVelle (1945–2010)

2010· article· en· W1630132851 on OpenAlexaffabout
Peter Brown

Bibliographic record

VenueMeteoritics and Planetary Science · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsWestern University
Fundersnot available
KeywordsMeteoroidMeteor (satellite)Atmosphere (unit)InfrasoundGunpowderHistoryMeteorologyAstrobiologyPhysicsArchaeology

Abstract

fetched live from OpenAlex

Douglas O. ReVelle died unexpectedly on May 2, 2010, following a brief illness. Doug was born in Rochester, NY, the youngest of three boys, all of whom pursued careers in the sciences. Doug was a leading meteor scientist with long-standing interests in many theoretical problems related to meteor entry, acoustic production from bright fireballs, and the flux of meteoroids at the Earth. He was trained as an atmospheric scientist at the University of Michigan in the late 1960s and early 1970s. His early research interest focused on problems of meteor entry and particularly shock processes in the atmosphere created by the hypersonic passage of meteoroids. This dual interest in how the atmosphere affected meteoroids and vice-versa was the defining theme in his future research where he effectively bridged the disparate areas of meteor science and infrasound studies. His 1976 paper “On meteor-generated infrasound” laid the modern foundations for interpretation and analysis of infrasound from meteors. He also recognized, together with Gene Shoemaker, that airwave recordings made by the U.S. military of large fireballs could be used to directly estimate the influx of meter-sized bodies to the Earth. This was a project he revisited many times over a period of some 30 years, most recently publishing a final estimate based on these data only a few years before his death. Doug’s early research career was as a post doctoral fellow at the Herzberg Institute of Astrophysics in Ottawa working with Peter Millman and Bruce McIntosh, and later at the Carnegie Institution in Washington with George Wetherill. His research at this time focused on interpretation of meteoroid entry, fireball observations, and bolide kinematics. Together with Wetherill, he examined the Prairie network fireball data and identified those events most plausibly producing meteorites on the ground. This work served as the backdrop to his ongoing theoretical model comparisons among the three known meteorite- producing fireballs (Príbřam, Lost City, and Innisfree). A major goal of this work was to reconcile the disparate estimates of photometric and single-body dynamic masses from fireball data. His work in this area continued until quite recently, culminating in publication in 2005, together with Zdenek Ceplecha, of a comprehensive model of bolide ablation, explicitly accounting for the role of fragmentation and establishing a new, modern scale for fireball luminous efficiency. This new model resolved this long-standing difference between photometric and dynamic mass scales in fireball data, identifying fragmentation as the underlying cause. It also provided the framework for a new level of understanding of how objects fragment in the atmosphere and, by extension, the physical properties of larger meteoroids. His later research was performed as a technical staff member at the Los Alamos National Laboratory and focused more on infrasound monitoring than bolide research. During his tenure at Los Alamos he was able to develop a new acoustic-gravity wave model of shock production from bolides and further extend his numerical entry modeling work to very large fireballs, and apply this work to very large fireballs observed by U.S. government satellite systems. Doug retired from Los Alamos in February, 2010, but he continued active research until just before his death. His irrepressible love of all aspects of meteor research and his energy for the field he so cherished was apparent to all those who were fortunate enough to work with him over the years. He will be deeply missed by his many colleagues and friends around the world.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.006
GPT teacher head0.205
Teacher spread0.198 · 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 teacher head, not a consensus.

Study designObservational
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
Published2010
Admission routes2
Has abstractyes

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