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Record W1975996360 · doi:10.3137/ao.400101

Evaluation of the CMC regional wave forecasting system against buoy data

2002· article· en· W1975996360 on OpenAlexvenueaboutno aff
R. Lalbeharry

Bibliographic record

VenueATMOSPHERE-OCEAN · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOcean Waves and Remote Sensing
Canadian institutionsnot available
Fundersnot available
KeywordsBuoyEnvironmental scienceClimatologyMeteorologyWave modelForcing (mathematics)Significant wave heightWind speedWind waveGeographyOceanographyGeology

Abstract

fetched live from OpenAlex

Abstract In February 1996 the Canadian Meteorological Centre @CMC) of the Meteorological Service of Canada (MSC), formerly the Atmospheric Environment Service and Program (AES/AEP), implemented regional versions of the third generation global ocean wave model WAM Cycle‐4 (WAM4) in its operational ‐wave forecasting system; one for the north‐east Pacific and one for the north‐west Atlantic. This replaced the first generation Canadian Spectral Ocean Wave Model which had been in operation from December 1990. The 10‐m level wind forcing is obtained from the CMC global atmospheric model for driving the Pacific wave model and from its regional atmospheric model for driving the Atlantic wave model. Analyzed and forecast model wave and wind parameters are evaluated against moored buoy‐measured data in the coastal and shelf regions of the Atlantic and Pacific coasts of North America for the period December 1996 to November 1999. The evaluation is presented in the form of time histories of the seasonal verification statistics, summary tables, and time series of individual model and buoy data for given periods at selected buoy locations in order to highlight seasonal differences in model performance and any impacts due to atmospheric model replacement and grid changes. The results are further compared with the results from the global WAM4 running in operational mode at the European Centre for Medium‐Range Weather Forecasts (ECMWF) and at the Fleet Numerical Meteorology and Oceanography Center (FNMOC) using the same dataseis for the same period and from the recent study based on the National Centers for Environmental Prediction (NCEP) reanalysis data. This is done to assess better the performance of the CMC regional wave models with respect to the global wave models and other regional wave models. The evaluation results indicate that the Pacific ocean has more wind and wave variability and swells than the Atlantic ocean and that there is seasonal variation in this variability. The skill of the CMC regional WAM4 is comparable to that of the global WAM4 in operation at other international wave forecasting centres. The results are also comparable to those obtained using the NCEP 40‐year reanalysis data. The impact on the performance of the wave model resulting from the replacement of the CMC global and regional atmospheric models and also from the changes made to these models is more or less neutral.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.895
Threshold uncertainty score0.401

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.116
GPT teacher head0.234
Teacher spread0.117 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations17
Published2002
Admission routes2
Has abstractyes

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