Study of statistical estimated parameters using ERA5 reanalysis data over Khulna region during monsoon season

Koutavarapu, Ravindranadh; Umakanth, N.; Satyanarayana, T.; Kumar, M. Seshu; Rao, M. C.; Lee, Dong‑Yeon; Shim, Jaesool

doi:10.1007/s11600-021-00662-x

Artykuł - szczegóły

Tytuł artykułu

Study of statistical estimated parameters using ERA5 reanalysis data over Khulna region during monsoon season

Autorzy

Koutavarapu Ravindranadh , Umakanth N. , Satyanarayana T. , Kumar M. Seshu , Rao M. C. , Lee Dong‑Yeon , Shim Jaesool

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-021-00662-x

Warianty tytułu

Języki publikacji

Abstrakty

Thunderstorms are extreme localized weather phenomena that form primarily as a result of intense atmospheric convection. These are characterized by heavy rainfall, lightning and thunder. Thunderstorms occur in monsoon season over some parts of the world, and they can be found in the rain bands of many convective systems. Thunderstorms are a natural weather occurrence that results in significant damage to property and people all over the world. Lifted index, K index, total totals index, humidity index (HI), total precipitable water (TPW), convective available potential energy, deep convective index, S index, maximum temperature and rainfall parameters are investigated over Khulna region in Bangladesh during the monsoon season. We have measured all the above parameters using daily ERA5 reanalysis data for the monsoon season from 2011 to 2020. High TPW values (~>60 mm) and low HI values (~<20 K) are observed during July and August months over Khulna region. DCI values greater than 30 °C are observed which indicates highly favorable for severe convection-related thunderstorms. We have experimented ARMA model to estimate four parameters. The major motive behind this is to compare the accuracy of the ARMA model data to ERA5 data. For obtaining reliable statistical estimates of thunderstorm parameters, the ARMA model proved to be extremely useful.

Słowa kluczowe

monsoon deep convective index humidity moisture

monsun indeks głębokiej konwekcji wilgotność wilgoć

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2021

Tom

Vol. 69, no. 5

Strony

1963--1978

Opis fizyczny

Bibliogr. 63 poz.

Twórcy

autor

Koutavarapu Ravindranadh

Department of Robotics and Intelligent Machine Engineering, College of Mechanical and IT Engineering, Yeungnam University, Gyeongsan 712-749, Republic of Korea

autor

Umakanth N.

Department of ECE, Dhanekula Institute of Engineering and Technology, Vijayawada 521139, India

autor

Satyanarayana T.

Department of ECE, Lakireddy Bali Reddy College of Engineering, Mylavaram 521230, India

autor

Kumar M. Seshu

Department of Physics, Andhra Loyola College, Vijayawada 520008, India

autor

Rao M. C.

raomc72@gmail.com

Department of Physics, Andhra Loyola College, Vijayawada 520008, India

autor

Lee Dong‑Yeon

dylee@ynu.ac.kr

Department of Robotics and Intelligent Machine Engineering, College of Mechanical and IT Engineering, Yeungnam University, Gyeongsan 712-749, Republic of Korea

autor

Shim Jaesool

jshim@ynu.ac.kr

School of Mechanical Engineering, Yeungnam University, Gyeongsan 712-749, Republic of Korea

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Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-18c5439a-56d8-46db-ad25-19fa0df8d7b8