Loading…

Evaluating the variability in long-term rainfall over India with advanced statistical techniques

Climate change has been a significant subject in recent years all around the world. Statistical analysis of climatic parameters such as rainfall can investigate the actual status of the atmosphere. As a result, this study aimed to look at the pattern of mean annual rainfall in India from 1901 to 201...

Full description

Saved in:
Bibliographic Details
Published in:Acta geophysica 2022-04, Vol.70 (2), p.801-818
Main Authors: Ahmed, Ishita Afreen, Salam, Roquia, Naikoo, Mohd Waseem, Rahman, Atiqur, Praveen, Bushra, Hoai, Pham Ngoc, Pham, Quoc Bao, Anh, Duong Tran, Tri, Doan Quang, Elkhrachy, Ismail
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Climate change has been a significant subject in recent years all around the world. Statistical analysis of climatic parameters such as rainfall can investigate the actual status of the atmosphere. As a result, this study aimed to look at the pattern of mean annual rainfall in India from 1901 to 2016, considering 34 meteorological subdivisions. The Mann–Kendall (MK) test, Modified Mann–Kendall (MMK) test, Bootstrapped MK (BMK) test, and Innovative Trend Analysis (ITA) were used to find trends in yearly rainfall time-series results. Rainfall forecasting was evaluated using detrended fluctuation analysis (DFA). Because the research comprised 34 meteorological subdivisions, it may be challenging to convey the general climatic conditions of India in a nutshell. The MK, MMK, and BMK tests showed a significant ( p  
ISSN:1895-7455
1895-6572
1895-7455
DOI:10.1007/s11600-022-00735-5