Statistical investigation of long-term meteorological data to understand the variability in climate: a case study of Jharkhand, India
Lakhan Lal Mahato (),
Mukesh Kumar (),
Shakti Suryavanshi (),
Sudhir Kumar Singh () and
Deepak Lal ()
Additional contact information
Lakhan Lal Mahato: Sam Higginbottom University of Agriculture, Technology and Sciences
Mukesh Kumar: Sam Higginbottom University of Agriculture, Technology and Sciences
Shakti Suryavanshi: Sam Higginbottom University of Agriculture, Technology and Sciences
Sudhir Kumar Singh: University of Allahabad
Deepak Lal: Sam Higginbottom University of Agriculture, Technology and Sciences
Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2021, vol. 23, issue 11, No 58, 17002 pages
Abstract:
Abstract The present study was conducted to identify long-term (1901–2002) climatic trends for the state of Jharkhand. The meteorological data utilized in this study included maximum and minimum air temperatures, diurnal temperature (DTR) and rainfall for the state of Jharkhand. This data was evaluated on annual basis as well as for monsoon (June–September), winter (October–January) and summer (February–May) seasons respectively. A nonparametric statistical test (Mann–Kendall test) was employed to statistically analyze the aforementioned meteorological data. Prior to Mann–Kendall test, the time series data was processed using pre-whitening test to remove any serial correlation present in the data. An increasing trend in maximum and minimum temperatures was apparent during winter season and on annual basis for the period of study in Jharkhand at 1%, 5% and 10% significant levels. During monsoon season, all the districts exhibited decreasing trend in DTR at 1%, 5% and 10% significant levels except Giridih district where no trend was apparent at 0.0001% significance level. In winter season, no trend in DTR was apparent for all the districts at 0.0001% significance level except Pashchimi Singhbhum which exhibited decreasing trend at 10% significance level. No trend was observed in the annual DTR for most of districts except Dhanbad, Gumla, Kodarma, Lohardaga, Pashchimi Singhbhum and Ranchi. Rainfall exhibited a decreasing trend during monsoon season for all the district at 1%, 5% and 10% significant levels except Purbi Singhbhum district where the trend was not significant at 0.0001% level. A decreasing trend in annual rainfall was apparent for most of the districts at 1%, 5% and 10% significant levels. However, no significant trend was found in annual rainfall for Pashchimi and Purbi Singhbhum districts, respectively, at 0.0001% significant level. The change point test reveals that break years occured during the 1950 decade for annual maximum temperature and rainfall. Meanwhile, for minimum temperature, break years happened in 1920 decade, whereas a mix behavior was found for DTR. The findings of current study will be useful for the local resource managers and policy makers toward informed decision making.
Keywords: MK test; Climate variability; ENSO; El Nino; Sen’s slope (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10668-021-01374-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:endesu:v:23:y:2021:i:11:d:10.1007_s10668-021-01374-4
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10668
DOI: 10.1007/s10668-021-01374-4
Access Statistics for this article
Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development is currently edited by Luc Hens
More articles in Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().