Oscilação Decadal do Pacífíco e Multidecadal do Atlântico no Clima da Amazônia Ocidental (Pacific Decadal and Multidecadal Atlantic Oscillations and Climate in the Western Amazon)
Bibliographic record
Abstract
Este trabalho tem como objetivo principal verificar a influência das Oscilações Decadais do Pacífico e Multidecadais do Atlântico nos índices extremos de precipitação e temperatura do ar da Amazônia Ocidental. Foram utilizados dados diários de precipitação e temperatura do ar (mínima e máxima), distribuídas em ponto de grade, oriundas da reanálise do Centro Europeu de Previsão de Tempo de Médio Prazo (ECMWF), para o período de 1961 a 2001. Também foram utilizadas informações de índices de teleconexões PDO e AMO extraídos do Home Page dos Centros Nacionais de Previsão Ambiental do Estados Unidos da América (NCEP). Utilizou-se os softwares Fortran, Excel e RClimdex para fazer o tratamento dos dados e análise de tendências, análises de regressões e testes estatísticos, para cálculo dos coeficientes de correlação. Observou-se que os de índices extremos climáticos como amplitude térmica, temperaturas máxima e mínima e total anual de precipitação estão correlacionados com os índices de teleconexões. Portanto, concluiu-se que os índices de extremos climáticos da Amazônia Ocidental são influenciados pelos índices PDO e AMO.Palavras - chave: Teleconexões, Oceanos, Florestas Tropicais Pacific Decadal Oscillations and Multidecadal Atlantic in the Western Amazon Climate ABSTRACTThe main objective this work was to verify the influence of the Pacific Decadal Oscillation and the Atlantic Multidecadal Oscillation over the extreme climatic indices from precipitation and air temperature on the Western Amazon. We used daily data of precipitation and minimum and maximum air temperature. The data are distributed in grid point. They are from the reanalysis of the European Centre for Medium-Range Weather Forecasts (ECMWF) for the period1961 to 2001. We also used the information of teleconnection PDO and AMO indices extracted from the home page of the National Centers for Environmental Prediction of the United States of America (NCEP). We used the Fortran, Excel and RClimdex to the processing of data, and tendency analysis. The regression analysis and statistical tests were used to estimate correlation coefficients. It was observed that climate extremes indices as thermal amplitude, maximum and minimum temperatures and total annual precipitation are correlated with the teleconnection indices. Therefore, it was concluded that the indices of climate extremes in the Western Amazon are influenced by the PDO and AMO indices.Keywords: Teleconnections, Oceans, Rainy forest
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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 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".