On the non-parametric changepoint detection of flow regimes in cyclone Amphan

• Autorzy: Reddem Venkat Shesu , Jampana Venkata , Muthalagu Ravichandran , Venkateswara Rao Bekkam , Eluri Pattabhi Rama Rao , Tummala Srinivasa Kumar

Identyfikatory

DOI

10.1016/j.oceano.2022.07.006

• Języki publikacji: EN

Abstrakty

EN

The Bay of Bengal was witness to a severe cyclone named Amphan during the summer of the year 2020. The National Institute of Ocean Technology (NIOT), INDIA moorings BD08 and BD09 happened to be in the vicinity of the cyclone. The highly instrumented mooring recorded near-surface meteorological parameters like wind speed, sea surface temperature, and near-surface pressure. This article explores the possibility of using a non-parametric algorithm to identify different flow regimes using a one-month long time-series data of the near-surface parameters. The changes in the structure of the time series signal were statistically segmented using an unconstrained non-parametric algorithm. The non-parametric changepoint method was applied to time series of near-surface winds, sea surface temperature, sea level pressure, air temperature and salinity and the segmentations are consistent with visual observations. Identifying different data segments and their simple parameterization is a crucial component and relating them to different flow regimes is useful for the development of parametrization schemes in weather and climate models. The segmentations can considerably simplify the parametrization schemes when expressed as linear functions. Moreover, the usefulness of non-parametric automatic detection of data segments of similar statistical properties shall be more apparent when dealing with relatively long time series data.

Słowa kluczowe

EN

Amphan; changepoint detection; cyclone

• Wydawca: Polish Academy of Sciences, Institute of Oceanology ; Elsevier
• Czasopismo: Oceanologia
• Rocznik: 2023
• Tom: Vol. 65 (2)
• Strony: 310--317
• Opis fizyczny: Bibliogr. 18 poz., rys., wykr.

Twórcy

autor

Reddem Venkat Shesu

• Indian National Centre for Ocean Information Services, Hyderabad, India

autor

Jampana Venkata

• Indian National Centre for Ocean Information Services, Hyderabad, India

autor

Muthalagu Ravichandran

• Ministry of Earth Sciences, New Delhi, India

autor

Venkateswara Rao Bekkam

• Jawaharlal Nehru Technological University, Hyderabad, India

autor

Eluri Pattabhi Rama Rao

• Indian National Centre for Ocean Information Services, Hyderabad, India

• https://orcid.org/0000-0003-0521-8300

autor

Tummala Srinivasa Kumar

• Indian National Centre for Ocean Information Services, Hyderabad, India

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023). (PL)