Fractal dimensional analysis of Indian climatic dynamics

Rangarajan, Govindan; Sant, Dhananjay A.

doi:10.1016/s0960-0779(03)00042-0

Cited by 71 publications

(33 citation statements)

References 10 publications

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“…It is analyzed that regional climatic models would not be able to predict local climate as it deals with averaged quantities and that precipitation during the southwest monsoon is affected by temperature and pressure variations during the preceding winter (Kahya and Kalayci 2004;McCleary and Hay 1980;Mousavi et al 2008;Movahed and Hermanisc 2008;Park and Park 2009;Prasad and Narayana 2004;Rangarajan and Ding 2000;Rangarajan and Sant 2004).…”

Section: Introductionmentioning

confidence: 99%

Water quality management using statistical analysis and time-series prediction model

Parmar

Bhardwaj

2014

Appl Water Sci

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This paper deals with water quality management using statistical analysis and time-series prediction model. The monthly variation of water quality standards has been used to compare statistical mean, median, mode, standard deviation, kurtosis, skewness, coefficient of variation at Yamuna River. Model validated using R-squared, root mean square error, mean absolute percentage error, maximum absolute percentage error, mean absolute error, maximum absolute error, normalized Bayesian information criterion, Ljung-Box analysis, predicted value and confidence limits. Using auto regressive integrated moving average model, future water quality parameters values have been estimated. It is observed that predictive model is useful at 95 % confidence limits and curve is platykurtic for potential of hydrogen (pH), free ammonia, total Kjeldahl nitrogen, dissolved oxygen, water temperature (WT); leptokurtic for chemical oxygen demand, biochemical oxygen demand. Also, it is observed that predicted series is close to the original series which provides a perfect fit. All parameters except pH and WT cross the prescribed limits of the World Health Organization /United States Environmental Protection Agency, and thus water is not fit for drinking, agriculture and industrial use.

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Section: Introductionmentioning

confidence: 99%

Water quality management using statistical analysis and time-series prediction model

Parmar

Bhardwaj

2014

Appl Water Sci

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“…Así, aparecen hechos tan interesantes como que, en regiones como la India, las precipitaciones durante el monzón del suroeste se ven afectadas por la variabilidad de la temperatura y la presión del invierno anterior. En esta misma línea, otros índices de predicción que incorporan los fractales son más fiables ya que consideran más dinámicas climáticas, con lo que se deduce que estos nuevos modelos mejoran los existentes en una escala regional (Rangarajan et al, 1997;Rangarajan et al, 2004).…”

Section: I1 Los Fractales Como Base De Estudiounclassified

Análisis y comportamiento espacial de la fractalidad temporal de la precipitación en la España peninsular y Baleares (1997-2010)

Meseguer-Ruiz¹,

Martín‐Vide²,

Cantos³

et al. 2017

BAGE

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RESUMENLa fractalidad temporal de la precipitación 'D' indica la característica de autosimilitud de la lluvia, el hecho que los sucesos lluviosos se repitan con regularidad a diferentes escalas temporales. Los valores de D se determinan para 44 estaciones de la España peninsular y Baleares, variando entre 1,6039 y 1,4499. Según semestres, los valores de D son más bajos en la mitad cálida del año que en la mitad fría. En el norte los valores de D son mayores, a nivel anual y semestral, mientras que en la fachada oriental y Baleares y en el valle del Ebro son menores, y las mayores diferencias entre los valores de D delos periodos cálido y frío se dan en el norte y en el valle del Guadalquivir.Palabras clave: Baleares, dimensión fractal, fractalidad temporal, Península Ibérica, precipitación.Boletín In the north, D values are higher, annual and semi-annual, whereas in the Eastern coast and Baleares and in the Ebro valley are lower, and higher differences between D values of both warm and cold halves in the north and the Guadalquivir valley.de la Asociación de Geógrafos Españoles N.º 73 -2017, págs. 11-

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“…Among the hypotheses put forward regarding monsoon intraseasonal variability (MISV) is that of a chaotic model (Palmer, 1994) with fluctuations between active and break monsoon phases (Meehl, 1994;Webster et al, 1998), analogous to the wings in the classical Lorenz system (Lorenz, 1963), in some way determined by large-scale boundary forcing. Some modelling studies using simplified GCMs (Carl, 1994;Tschentscher et al, 1994) as well as also comprehensive climate models (Goswami, 1997) have even suggested a chaotic monsoon system (see also Rangarajan and Sant, 2004). Large-scale forcing acts to change the stability and hence the population of one phase at the expense of the other as in Palmer (1999).…”

Section: A Hannachi and A G Turner: Asian Monsoon Dynamics And Isomapmentioning

confidence: 99%

20th century intraseasonal Asian monsoon dynamics viewed from Isomap

Hannachi

Turner

2013

Nonlin. Processes Geophys.

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Abstract. The Asian summer monsoon is a highdimensional and highly nonlinear phenomenon involving considerable moisture transport towards land from the ocean, and is critical for the whole region. We have used daily ECMWF reanalysis (ERA-40) sea-level pressure (SLP) anomalies on the seasonal cycle, over the region 50-145 • E, 20 • S-35 • N, to study the nonlinearity of the Asian monsoon using Isomap. We have focused on the two-dimensional embedding of the SLP anomalies for ease of interpretation. Unlike the unimodality obtained from tests performed in empirical orthogonal function space, the probability density function, within the two-dimensional Isomap space, turns out to be bimodal. But a clustering procedure applied to the SLP data reveals support for three clusters, which are identified using a three-component bivariate Gaussian mixture model. The modes are found to appear similar to active and break phases of the monsoon over South Asia in addition to a third phase, which shows active conditions over the western North Pacific. Using the low-level wind field anomalies, the active phase over South Asia is found to be characterised by a strengthening and an eastward extension of the Somali jet. However during the break phase, the Somali jet is weakened near southern India, while the monsoon trough in northern India also weakens. Interpretation is aided using the APHRODITE gridded land precipitation product for monsoon Asia. The effect of large-scale seasonal mean monsoon and lower boundary forcing, in the form of ENSO, is also investigated and discussed. The outcome here is that ENSO is shown to perturb the intraseasonal regimes, in agreement with conceptual ideas.

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Fractal dimensional analysis of Indian climatic dynamics

Cited by 71 publications

References 10 publications

Water quality management using statistical analysis and time-series prediction model

Water quality management using statistical analysis and time-series prediction model

Análisis y comportamiento espacial de la fractalidad temporal de la precipitación en la España peninsular y Baleares (1997-2010)

20th century intraseasonal Asian monsoon dynamics viewed from Isomap

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