ENSO MODULATIONS ON STREAMFLOW CHARACTERISTICS

El Niño Southern Oscillation (ENSO) has been linked to climate and hydrologic anomalies throughout the world. This paperpresents how ENSO modulates the basic statistical characteristics of streamflow time series that is assumed to be affected byENSO. For this we first considered hypothetical series...

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Main Authors: Yerdelen Cahit, Marti Ali Ihsan, Kahya Ercan
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2010-06-01
Series:Earth Sciences Research Journal
Online Access:http://www.revistas.unal.edu.co/index.php/esrj/article/view/21092
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author Yerdelen Cahit
Marti Ali Ihsan
Kahya Ercan
author_facet Yerdelen Cahit
Marti Ali Ihsan
Kahya Ercan
author_sort Yerdelen Cahit
collection DOAJ
description El Niño Southern Oscillation (ENSO) has been linked to climate and hydrologic anomalies throughout the world. This paperpresents how ENSO modulates the basic statistical characteristics of streamflow time series that is assumed to be affected byENSO. For this we first considered hypothetical series that can be obtained from the original series at each station by assumingnon-occurrence of El Niño events in the past. Instead those data belonging to El Niño years were simulated by the RadialBased Artificial Neural Network (RBANN) method. Then we compared these data to the original series to see a significant differencewith respect to their basic statistical characteristics (i.e., variance, mean and autocorrelation parameters). Various statisticalhypothesis testing methods were used for four different scenarios. Consequently if there exist a significant difference,then it can be inferred that the ENSO events modulate the major statistical characteristics of streamflow series concerned. Theresults of this research were in good agreement with those of the previous studies.
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spelling doaj.art-d5842758f46a486c86dee6ebb3efa08f2022-12-22T01:10:38ZengUniversidad Nacional de ColombiaEarth Sciences Research Journal1794-61902010-06-011413143ENSO MODULATIONS ON STREAMFLOW CHARACTERISTICSYerdelen CahitMarti Ali IhsanKahya ErcanEl Niño Southern Oscillation (ENSO) has been linked to climate and hydrologic anomalies throughout the world. This paperpresents how ENSO modulates the basic statistical characteristics of streamflow time series that is assumed to be affected byENSO. For this we first considered hypothetical series that can be obtained from the original series at each station by assumingnon-occurrence of El Niño events in the past. Instead those data belonging to El Niño years were simulated by the RadialBased Artificial Neural Network (RBANN) method. Then we compared these data to the original series to see a significant differencewith respect to their basic statistical characteristics (i.e., variance, mean and autocorrelation parameters). Various statisticalhypothesis testing methods were used for four different scenarios. Consequently if there exist a significant difference,then it can be inferred that the ENSO events modulate the major statistical characteristics of streamflow series concerned. Theresults of this research were in good agreement with those of the previous studies.http://www.revistas.unal.edu.co/index.php/esrj/article/view/21092
spellingShingle Yerdelen Cahit
Marti Ali Ihsan
Kahya Ercan
ENSO MODULATIONS ON STREAMFLOW CHARACTERISTICS
Earth Sciences Research Journal
title ENSO MODULATIONS ON STREAMFLOW CHARACTERISTICS
title_full ENSO MODULATIONS ON STREAMFLOW CHARACTERISTICS
title_fullStr ENSO MODULATIONS ON STREAMFLOW CHARACTERISTICS
title_full_unstemmed ENSO MODULATIONS ON STREAMFLOW CHARACTERISTICS
title_short ENSO MODULATIONS ON STREAMFLOW CHARACTERISTICS
title_sort enso modulations on streamflow characteristics
url http://www.revistas.unal.edu.co/index.php/esrj/article/view/21092
work_keys_str_mv AT yerdelencahit ensomodulationsonstreamflowcharacteristics
AT martialiihsan ensomodulationsonstreamflowcharacteristics
AT kahyaercan ensomodulationsonstreamflowcharacteristics