Interannual Variability of the Madden-Julian Oscillations in Indian Summer Monsoon Rainfall

Singh, S. V.; Kripalani, R. H.; Sikka, D. R.

doi:10.1175/1520-0442(1992)005<0973:ivotmj>2.0.co;2

Cited by 91 publications

(60 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…9d marked as 1a, 1b and 1c). The high coherence in rain intensities over the west coast and central India on MJO timescales has also been reported by Singh et al (1992). However the coherence observed between the Himalayan foothills and the north east has not yet been known.…”

Section: Separating Time Scalessupporting

confidence: 59%

“…During the active phase of monsoon, large parts of the country experience heavy rainfall (above normal rainfall). But some parts like the south east peninsular India are out of phase with it (Krishnmurthy and Shukla, 2000;Singh et al, 1992), and receive rain during the break phase. We also see in our clusters that south west peninsular India is always a small separate cluster.…”

Section: Time Delay Directionsmentioning

confidence: 99%

“…They are composed of two distinct phases, known as the "Active Phase" and "Break Phase". During an active period heavy rainfall appears over most parts of India; in a break period the phase reverses and rainfall is recorded only along the Himalayan foothills, south-east peninsular India (Singh et al (1992), Krishnmurthy and Shukla (2000)). We try to understand these phenomena using ES and to find out those regions where monsoonal activity has higher order of synchronization than others.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Spatial structures and directionalities in Monsoonal precipitation over South Asia

Malik

Marwan

Kurths

2010

Nonlin. Processes Geophys.

View full text Add to dashboard Cite

Abstract. Precipitation during the monsoon season over the Indian subcontinent occurs in form of enormously complex spatiotemporal patterns due to the underlying dynamics of atmospheric circulation and varying topography. Employing methods from nonlinear time series analysis, we study spatial structures of the rainfall field during the summer monsoon and identify principle regions where the dynamics of monsoonal rainfall is more coherent or homogenous. Moreover, we estimate the time delay patterns of rain events. Here we present an analysis of two separate high resolution gridded data sets of daily rainfall covering the Indian subcontinent. Using the method of event synchronization (ES), we estimate regions where heavy rain events during monsoon happen in some lag synchronised form. Further using the delay behaviour of rainfall events, we estimate the directionalities related to the progress of such type of rainfall events. The Active (break) phase of a monsoon is characterised by an increase(decrease) of rainfall over certain regions of the Indian subcontinent. We show that our method is able to identify regions of such coherent rainfall activity.

show abstract

Section: Separating Time Scalessupporting

confidence: 59%

Section: Time Delay Directionsmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Spatial structures and directionalities in Monsoonal precipitation over South Asia

Malik

Marwan

Kurths

2010

Nonlin. Processes Geophys.

View full text Add to dashboard Cite

show abstract

“…Festen and Tanja exhibited similar and showed very poor response for fruit diameter. The variation in this respect is certainly due to difference Singh and Sikka (1945) maintained that foreign introduction is generally good performers. Campbell (1967) observed that there exists a lot of variation in tomato varieties for yield and quality of fruit.…”

Section: Discussionmentioning

confidence: 99%

Performance of Different Tomato Cultivars Under the Climatic Conditions of Northern Areas (GILGIT)

Rehman¹,

Khan²,

Faridullah³

et al. 2000

Pakistan J. of Biological Sciences

View full text Add to dashboard Cite

Twelve tomato varieties were sown at Agriculture Research Institute for Northern Areas (ARINA) Juglote, to study the various growth productivity and quality characters for evaluating under agro climatic conditions of the area and to compare performance of the local variety with other commercial varieties. Data on days to flower initiation, number of clusters/plant, days to first fruit picking, weight of individual fruit, weight of total fruit/plantnumber of fruits /plantweight of fruits/plot, length and diameter of fruits and yield (kg/ha) were recorded. The number of clusters/plant were maximum in variety Roma (13.5) and minimum in variety Chico. Chico bore the highest number of fruits/plant (52.50) while F M B9 and local check had the lowest number of of fruits/plant (24.75 and 26.0). Fruit size was maximum in Tanja (6.90 cm) and minimum in local check (3.08). Savio and Roma took the minimum time (100 and 102 days), while Festen and Red top took the maximum time (125 days) from transplanting of seedlings to ripening of first fruit. Festen and local check were early maturing varieties, while Roma and Marglobe had long fruiting period. Tanja and Marglobe were late in maturity as compared to other varieties. Roma and Marglobe produced the highest Yield 9218.75 and 9140.75 kg/ha, respectively than the other varieties and local check proved to be the lowest yielder with (3596.25 kg/ha).

show abstract

“…One of the first statistical models of daily rainfall occurrence (Gabriel & Neumann, 1962) was a firstorder Markov chain model, which defines a probability of occurrence for any day according to whether the previous day was wet. Higher-order Markov chains (Singh et al, 1992;Jones & Thornton 1997;Wilks, 1999a) take two or more preceding days into account, and hybrid models change the order of the Markov chain seasonally (Stern & Coe, 1984;Wilks, 1999b,c). An alternative to Markov chain models for rainfall occurrence is the use of spell-length models, in which the probability distributions are fitted to observed frequencies of wet and dry spell lengths, although this method has performed poorly for arid regions and for records less than 25 years long (Wilks, 1999b;Wilks & Wilby, 1999).…”

Section: Stochastic Rainfall Modelsmentioning

confidence: 99%

Multi-site stochastic modelling of daily rainfall in Uganda

Kigobe

McIntyre

Wheater

et al. 2011

Hydrological Sciences Journal

View full text Add to dashboard Cite

The availability of precipitation records in Uganda has significantly decreased since the 1970s, severely limiting the data available for hydrological modelling. This problem has been addressed in this study by using the generalized linear modelling (GLM) framework to develop stochastic daily rainfall models that have the capability for extending and infilling historic data sets. We have used a relatively sparse raingauge network in the Kyoga basin (in the Upper Nile) to reproduce spatial and temporal patterns of precipitation by fitting occurrence (logistic) and amounts (gamma) models as functions of dominant seasonal, climate and geographical controls. The GLMs were able to reproduce rainfall properties when predefined climatic zones are modelled independently. We were not able to represent the spatial variability of the equatorial climate with one integrated basin scale model, however this is not thought to preclude application to basin scale hydrological modelling.Key words generalized linear models; rainfall; stochastic models; climate change; Uganda; Kyoga; ENSO Modélisation stochastique multi-sites de la pluie journalière en Ouganda Résumé La disponibilité des données de précipitations en Ouganda a considérablement diminué depuis les années 1970, limitant fortement les données disponibles pour la modélisation hydrologique. Ce problème a été abordé dans cette étude dans le cadre de la modélisation linéaire généralisée (MLG), afin de développer des modèles stochastiques de pluie journalière qui puissent étendre et compléter les données historiques. Nous avons utilisé un réseau de pluviomètres de relativement faible densité dans le bassin du Kyoga (dans le Nil Supérieur), afin de reproduire les patrons spatiaux et temporels des précipitations en modélisant l'occurence (logistique) et les volumes (gamma) comme fonctions des forçages dominants saisonniers, climatiques et géographiques. Les MLG sont en mesure de reproduire les propriétés des pluies lorsque des zones climatiques pré-définies sont modélisées de façon indépendante. Nous n'avons pas pu représenter la variabilité spatiale du climat équatorial avec un modèle à l'échelle intégrée du bassin, cependant ceci ne semble pas devoir empêcher la mise en oeuvre d'une modélisation hydrologique à l'échelle du bassin.

show abstract

Interannual Variability of the Madden-Julian Oscillations in Indian Summer Monsoon Rainfall

Cited by 91 publications

References 14 publications

Spatial structures and directionalities in Monsoonal precipitation over South Asia

Spatial structures and directionalities in Monsoonal precipitation over South Asia

Performance of Different Tomato Cultivars Under the Climatic Conditions of Northern Areas (GILGIT)

Multi-site stochastic modelling of daily rainfall in Uganda

Contact Info

Product

Resources

About