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    Trends and Anomalies in Extreme Climate Indices and Influence of El Niño and La Niña over Pranhita Catchment in Godavari Basin, India

    Source: Journal of Hydrologic Engineering:;2016:;Volume ( 021 ):;issue: 002
    Author:
    Rajashree Vinod Bothale
    ,
    Yashwant B. Katpatal
    DOI: 10.1061/(ASCE)HE.1943-5584.0001283
    Publisher: American Society of Civil Engineers
    Abstract: Hydrologic design and planning requires dealing with extremes in precipitation and temperature events caused due to climate change. Long-term trends and variability in 20 extreme climate indices (ECIs) and the influence of El Niño and La Niña over the Pranhita catchment, India are studied for the period of 1951–2013. An overall increase in daily precipitation, more intense rain, and an increase in continuous dry days are observed; however, total rain shows a negative trend. A warming trend is observed with an increase in dry days, warm days, and hot nights, and a decrease in the frequency of cool days and nights. Observed +ve trends for maximum and minimum temperatures are 0.7 and 0.8°C, respectively. El Niño years resulted in −ve anomaly and +ve anomaly was observed during La Niña years for the majority of ECIs. The association between ENSO and yearly temperature indices is found to be weak in comparison with precipitation indices. The study confirmed the multimodal nature of precipitation during El Niño, high precipitation during La Niña, and excess postmonsoon rains during La Niña. A comparison between the Oceanic Nino Index (ONI) and the precipitation anomaly showed that the anomaly changes with a phase change in ENSO with the relation being very prominent during El Niño. The El Niño years have resulted in a precipitation deficit, and the La Niña years have resulted in excess precipitation.
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      Trends and Anomalies in Extreme Climate Indices and Influence of El Niño and La Niña over Pranhita Catchment in Godavari Basin, India

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4243545
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    contributor authorRajashree Vinod Bothale
    contributor authorYashwant B. Katpatal
    date accessioned2017-12-30T12:55:56Z
    date available2017-12-30T12:55:56Z
    date issued2016
    identifier other%28ASCE%29HE.1943-5584.0001283.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4243545
    description abstractHydrologic design and planning requires dealing with extremes in precipitation and temperature events caused due to climate change. Long-term trends and variability in 20 extreme climate indices (ECIs) and the influence of El Niño and La Niña over the Pranhita catchment, India are studied for the period of 1951–2013. An overall increase in daily precipitation, more intense rain, and an increase in continuous dry days are observed; however, total rain shows a negative trend. A warming trend is observed with an increase in dry days, warm days, and hot nights, and a decrease in the frequency of cool days and nights. Observed +ve trends for maximum and minimum temperatures are 0.7 and 0.8°C, respectively. El Niño years resulted in −ve anomaly and +ve anomaly was observed during La Niña years for the majority of ECIs. The association between ENSO and yearly temperature indices is found to be weak in comparison with precipitation indices. The study confirmed the multimodal nature of precipitation during El Niño, high precipitation during La Niña, and excess postmonsoon rains during La Niña. A comparison between the Oceanic Nino Index (ONI) and the precipitation anomaly showed that the anomaly changes with a phase change in ENSO with the relation being very prominent during El Niño. The El Niño years have resulted in a precipitation deficit, and the La Niña years have resulted in excess precipitation.
    publisherAmerican Society of Civil Engineers
    titleTrends and Anomalies in Extreme Climate Indices and Influence of El Niño and La Niña over Pranhita Catchment in Godavari Basin, India
    typeJournal Paper
    journal volume21
    journal issue2
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0001283
    page05015023
    treeJournal of Hydrologic Engineering:;2016:;Volume ( 021 ):;issue: 002
    contenttypeFulltext
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