Segmentation-based approach for trend analysis and structural breaks in rainfall time series (1851–2006) over India-Reference-Cited by-同舟云学术

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Segmentation-based approach for trend analysis and structural breaks in rainfall time series (1851–2006) over India

Published:2020-05-18 Issue:9 Volume:65 Page:1583-1595
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Priyadarshi Niraj¹,Bandyopadhyay Soumya¹,Chowdary V. M.²,Chandrasekar K.³,Chockalingam Jeganathan⁴^ORCID,Raj Uday³,Jha Chandra Shekhar³

Affiliation:

1. Regional Remote Sensing Centre – East, NRSC/ISRO, Kolkata, India

2. Regional Remote Sensing Centre – North, NRSC/ISRO, New Delhi, India

3. National Remote Sensing Centre (NRSC), Indian Space Research Organization (ISRO), Hyderabad, India

4. Department of Remote Sensing, Birla Institute of Technology, Mesra (Bit-mesra), Ranchi, India

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2020.1761022

Reference38 articles.

1. Fractal Analysis of the Long-Term Memory in Precipitation over Bénin (West Africa)

2. Tests for Parameter Instability and Structural Change With Unknown Change Point

3. A Bayesian normal homogeneity test for the detection of artificial discontinuities in climatic series

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1. A Bayesian modelling approach for assessing non-stationarity in annual maximum rainfall under a changing climate;Hydrological Sciences Journal;2023-07-03

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3. Statistical and Hydrological Evaluations of Water Dynamics in the Lower Sai Gon-Dong Nai River, Vietnam;Water;2022-01-05

4. Usage of long-term river discharge data in water balance model for assessment of trends in basin storages;Modeling Earth Systems and Environment;2020-08-18

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