Analysis of the global warming dynamics from temperature time series

Viola, Flavio Maggessi; Paiva, Susana L. D.; Savi, Marcelo A.

doi:10.1016/j.ecolmodel.2010.05.001

Cited by 40 publications

(13 citation statements)

References 39 publications

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“…2 donde es el número de elementos pertenecientes a la vecindad . Esto también puede ser interpretado como el promedio de los "futuros" de los vecinos (KANTZ & SCHREIBER, 2004;VIOLA et al, 2010)…”

Section: Predicción No Lineal Simpleunclassified

Predicción No Lineal Y Análisis De Series Temporales De Variables Micrometeorológicas Medidas en El Pantanal Matogrossense

Mello

Biudes²,

Gomes³

2019

ABClima

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Las variables micrometeorológicas medidas en ecosistemas poseen comportamiento no lineal y representan la dinámica de los procesos físicos y biológicos que ocurren entre la superficie vegetal y la atmósfera. Por lo tanto, el objetivo de este trabajo fue entender el comportamiento micrometeorológico de un bosque estacionalmente inundado en el Pantanal Matogrossense, a partir del análisis de las series temporales de saldo de radiación, temperatura y humedad del aire (con datos de 15 en 15 minutos), medido sobre el pabellón, y hacer predicciones utilizando la teoría de los sistemas dinámicos. Fue aplicado el método de predicción no lineal simple que utiliza una serie medida para estimar una serie prevista, que se comprueba en términos de correlación, exactitud y errores dentro del tiempo establecido por el parámetro de predicción de confianza. Los resultados evidencian la existencia de atractores extraños de baja dimensión fractal y sensibles a la estacionalidad, y que el método de predicción no lineal simple captura la dinámica general de las series temporales micrometeorológicas medidas. Palabras Clave: dinámica no lineal, reconstrucción del espacio de fase, predicción no lineal.

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Section: Predicción No Lineal Simpleunclassified

Predicción No Lineal Y Análisis De Series Temporales De Variables Micrometeorológicas Medidas en El Pantanal Matogrossense

Mello

Biudes²,

Gomes³

2019

ABClima

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“…The difference stemmed from the locations of the stations. Stations represented almost the entire World, enlarging from South America to Europe, from Canada to Asia (Viola et al, 2010). In another study, delay time was calculated by using 2,200 temperature data points covering one year period obtained from Marchfeld region (Germany).…”

Section: Tablementioning

confidence: 99%

Nonlinear dynamics of monthly temperature data set in the Northwestern (Marmara region) Turkey

Yildirim

Altinsoy

2018

IJGW

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Temperature is one of the essential quantities which affect the agriculture, economy, survival of animal and plant species. Turkey, located in the interconnection of Europe and Asia, contains various climate types. In this research, dynamics of temperature values over northeastern Turkey is investigated via nonlinear time series techniques. Monthly data set, through the period between 1960 and 2006, from various parts of the region is used to understand the underlying dynamics and its spatial distribution. Well-known phase space reconstruction method is used to calculate the maximal Lyapunov exponent for each data set which will indicate the chaotic behaviour. Along with the nonlinear time series analysis, statistical properties of the data are also determined to reveal any possible trends in the data. Calculated positive Lyapunov exponents indicate that the time series of average monthly temperature values have a possible chaotic underlying dynamics over the region.

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“…Ecologists have predicted that through the year 2028, global temperature will increase by a total of 0.29°C (Viola et al. ), so that temperatures greater than 35°C will be more common. Thus, there is ample incentive for the discovery and utilization of cotton genotypes that are tolerant of high temperatures beyond the documented effects on yield and fibre quality.…”

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confidence: 99%

Identification of vegetative heat‐tolerant upland cotton (Gossypium hirsutum L.) germplasm utilizing chlorophyll fluorescence measurement during heat stress

Weaver

Locy

et al. 2013

Plant Breeding

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Heat stress adversely affects upland cotton (Gossypium hirsutum L.) production in the United States. Heat tolerance is difficult to determine, especially when yield and fibre quality are the parameters measured in photoperiodic, non-adapted genotypes. Our objective was to evaluate wild (mostly photoperiodic, non-adapted) genotypes for vegetative heat tolerance using chlorophyll fluorescence. Parameters were measured in three phases of heat stress assays to select candidate lines for introgression of increased heat tolerance into commercial cotton germplasm. Forty-four wild accessions were selected from 1762 wild accessions in the USDA germplasm collection using a single-leaf sample assay (phase I). In the growth chamber, 6-week-old cotton plants were subjected to heat stress at 45°C and 80% humidity for 24 h. After heat stress, the mean Φ PSII for the selected accessions was higher than that of a set of randomly chosen accessions and adapted cultivars (phase II). In the field under high temperatures (>35°C), the top nine accessions had higher average Φ PSII than adapted cultivars (phase III). Based on these results, the three-phased stepwise approach was consistent in identifying putative genetic resources for increased vegetative heat tolerance. Accessions were identified that may have potential as genetic materials for development of adapted heat-tolerant upland cotton germplasm.

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Analysis of the global warming dynamics from temperature time series

Cited by 40 publications

References 39 publications

Predicción No Lineal Y Análisis De Series Temporales De Variables Micrometeorológicas Medidas en El Pantanal Matogrossense

Predicción No Lineal Y Análisis De Series Temporales De Variables Micrometeorológicas Medidas en El Pantanal Matogrossense

Nonlinear dynamics of monthly temperature data set in the Northwestern (Marmara region) Turkey

Identification of vegetative heat‐tolerant upland cotton (Gossypium hirsutum L.) germplasm utilizing chlorophyll fluorescence measurement during heat stress

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