Droughts/floods in the summer monsoon season over different meteorological subdivisions of India for the period 1871–1984

Parthasarathy, Balaji; Sontakke, N. A.; Monot, A. A.; Kothawale, D. R.

doi:10.1002/joc.3370070106

Cited by 220 publications

(88 citation statements)

References 11 publications

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“…Additionally, the all-India monsoon (June-September) rainfall (AIMR) series for 1922-98 is also used. The gauge-based AIMR was prepared by the Indian Institute of Tropical Meteorology (Parthasarathy et al, 1987;Parthasarathy et al, 1994).…”

Section: Datamentioning

confidence: 99%

Influence of Eurasian spring snow cover on Asian summer rainfall

Liu

Yanai

2002

Intl Journal of Climatology

128

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The Eurasian snow cover anomaly in spring has been considered as one of the important factors affecting Asian summer monsoon variability. Using the long time series of Eurasian spring (March-April) snow cover (ESSC) reconstructed by Brown (2000. Journal of Climate 13: 2339) and snow cover (1973-98) and depth (1979-87) data from satellite observation, the influences of ESSC on the all-India monsoon (June-September) rainfall (AIMR) and the summer rainfall over all parts of Asia are examined. It is found that the statistical relation between AIMR and ESSC changes over a multi-decadal time scale. The negative correlation between them has increased markedly since the mid 1970s. The region where the summer rainfall has the strongest and most stable negative correlation with the preceding ESSC is located in northern Mongolia, south of Lake Baikal. The correlation between the summer rainfall and ESSC increases after the data are treated with a low-pass filter, showing that the impact of snow cover may be seen more clearly with the removal of the effect of El Niño-southern oscillation. Comparative analyses for contrasting years with excessive and deficient snow cover show that the anomalies of ESSC occur mainly in northwestern Eurasia. In the years of excessive ESSC anomalies, cooling and a cyclonic circulation anomaly in the lower troposphere appear over the northern part of Eurasia, leading to a Rossby-wave-train-like circulation response, then a weakened East Asia summer monsoon and deficient rainfall with an anticyclonic circulation anomaly south of Lake Baikal. Anomalies with opposite signs occur in the years of deficient snow cover.

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Section: Datamentioning

confidence: 99%

Influence of Eurasian spring snow cover on Asian summer rainfall

Liu

Yanai

2002

Intl Journal of Climatology

128

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“…The COLA received the original data set from the Indian Institute of Tropical Meteorology (IITM), Pune, India. Quality and details of the data until 1984 are given in Parthasarathy et al (1987). However, information on later years is not available (Paolino, 1995, personal communication).…”

Section: Datamentioning

confidence: 99%

Trends and persistence in precipitation in the Ganges, Brahmaputra and Meghna river basins

Mirza

Warrick

Ericksen

et al. 1998

Hydrological Sciences Journal

149

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The Ganges, Brahmaputra and Meghna (GBM) river basins occupy about 1.75 x 10 6 km 2 of the Himalayan region. More than half a billion people in Nepal, India, Bhutan and Bangladesh are directly or indirectly dependent on the water resources of the GBM rivers. These river basins are characterized by diversified climatic patterns. Analyses of trends and persistence in precipitation over these river basins are necessary for sound water resources planning. Time series of annual precipitation for each of the 16 meteorological subdivisions covering the three river basins were examined for trends using the Mann-Kendall rank statistic, Student's f-test and regression analysis, and for persistence using first order autocorrelation analysis. Results indicate that precipitation in the Ganges basin is by-and-large stable. Precipitation in one subdivision in the Brahmaputra basin shows a decreasing trend and another shows an increasing trend. One of the three subdivisions in the Meghna basin shows a decreasing trend while another shows an increasing trend. Markovian persistence is not present in the precipitation series in the Ganges basin but it is present in two common subdivisions in the Brahmaputra and Meghna basins. Tendances et persistance des précipitations des bassins des fleuves Gange, Brahmapoutre et MeghnaRésumé Les bassins des fleuves Gange, Brahmapoutre et Meghna (GBM) occupent une surface d'à peu près 1.75 x 10 6 de km 2 dans la région Himalayenne. Plus d'un demi milliard de personnes au Népal, en Inde, au Bhoutan et au Bangladesh dépendent directement ou indirectement des ressources d'eau des fleuves GBM. Les bassins de ces fleuves sont caractérisés par des contextes climatiques variés. Des analyses de tendances et de persistance des précipitations de ces bassins se sont révélées nécessaires en vue de réaliser une planification efficace des ressources en eau. Nous avons étudié les séries chronologiques des précipitations annuelles de chacune des seize sous-divisions météorologiques couvrant les trois bassins fluviaux en utilisant la statistique de Mann-Kendall, le test t de Student et l'analyse de régression ainsi que l'auto-corrélation du premier ordre pour les problèmes de persistance. Les résultats indiquent que les précipitations du bassin du Gange sont relativement stables. Les précipitations de l'une des sous-divisions du bassin du Brahmapoutre présentent une tendance décroissante alors que celles d'une autre sous-division présentent une tendance croissante. Il en est de même de deux des trois sous-divisions du bassin du Meghna. La série des précipitations du bassin du Gange ne montre aucune persistance Markovienne que l'on peut au contraire mettre en évidence sur deux sous-divisions communes aux bassins du Brahmapoutre et du Meghna.

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“…1a), which is joined via a narrow belt clasped between 1 3 landmass (Winstanley 1973;Parthasarathy et al 1987). The most dominant mode of variability in summer monsoon rainfall over the Indian sub-continent clearly reveals that the summer monsoon rainfall over NE India and neighborhood is out-of-phase with rainfall over other parts of India (Kulkarni et al 1992).…”

Section: Introductionmentioning

confidence: 99%

Summer monsoon rainfall variability over North East regions of India and its association with Eurasian snow, Atlantic Sea Surface temperature and Arctic Oscillation

Prabhu

Kim

et al. 2016

Clim Dyn

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Nepal and Bangladesh, is influenced by local and remote forces. In terms of geographical size, NE-India constitutes of about 8% of India's total size. Its population is approximately 40 million, which represents around 3.1% of the total Indian population. This region has a predominantly humid sub-tropical climate with hot, humid summers, severe monsoons and mild winters. Along with the west coast of India, this region has some of the Indian sub-continent's last remaining rain forests, which supports diverse flora and fauna and several crop species. Geographically, two-thirds of the area is a hilly terrain interspersed with valleys and plains. The mean summer monsoon rainfall over the NE-Indian region is around 1400 mm making for huge water and hydropower potential. However, this region has been exhibiting a declining trend in the summer monsoon rainfall since the last 4-5 decades (see Fig. 3, Fig. 4a in Preethi et al. 2016). Hence, it becomes imperative to examine the possible drivers of this variability.Significance for long-term prediction of summer monsoon, considering its massive socio-economic impacts, have been widely attributed to the slowly varying boundary conditions such as sea surface temperature (SST) and snow cover (Shukla 1998). In general, rainfall distribution pattern over different regions of India is inhomogeneous due to influence of several local and remote factors. For instance, over the central Indian plain region, monsoon trough and the Himalayas along with local and external factors play a dominant role in its interannual rainfall variability. Likewise, the northwest region is influenced by the dry climates of the Thar Desert and the Western Himalayas. Apparently from the geographical features as described above, the rain producing mechanism of NE rainfall is a complex phenomenon and is largely dominated by an elevated orography of the Eastern Himalayas and large forests. The NE sector may be considered as a separate macro-region within the Indian Abstract This observational study during the 29-year period from 1979 to 2007 evaluates the potential role of Eurasian snow in modulating the North East-Indian Summer Monsoon Rainfall with a lead time of almost 6 months. This link is manifested by the changes in high-latitude atmospheric winter snow variability over Eurasia associated with Arctic Oscillation (AO). Excessive wintertime Eurasian snow leads to an anomalous cooling of the overlying atmosphere and is associated with the negative mode of AO, inducing a meridional wave-train descending over the tropical north Atlantic and is associated with cooling of this region. Once the cold anomalies are established over the tropical Atlantic, it persists up to the following summer leading to an anomalous zonal wave-train further inducing a descending branch over NE-India resulting in weak summer monsoon rainfall.

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Droughts/floods in the summer monsoon season over different meteorological subdivisions of India for the period 1871–1984

Cited by 220 publications

References 11 publications

Influence of Eurasian spring snow cover on Asian summer rainfall

Influence of Eurasian spring snow cover on Asian summer rainfall

Trends and persistence in precipitation in the Ganges, Brahmaputra and Meghna river basins

Summer monsoon rainfall variability over North East regions of India and its association with Eurasian snow, Atlantic Sea Surface temperature and Arctic Oscillation

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