Appraisal of historical trends in maximum and minimum temperature using multiple non-parametric techniques over the agriculture-dominated Narmada Basin, India

In this study, the long-term trends in climatological parameters, viz., maximum temperature ( T MAX ) and minimum temperature ( T MIN ), are determined over 68 years (i.e., June 1951 to May 2019) using the gridded observation datasets (1° × 1° spatial resolution) of India Meteorological Department o...

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Bibliographic Details
Published in:Environmental monitoring and assessment 2022-12, Vol.194 (12), p.893-893, Article 893
Main Authors: Swain, Sabyasachi, Mishra, Surendra Kumar, Pandey, Ashish, Dayal, Deen, Srivastava, Prashant Kumar
Format: Article
Language:English
Subjects:
Agricultural land
Agriculture
Atmospheric Protection/Air Quality Control/Air Pollution
Climate change
Climatic conditions
Earth and Environmental Science
Ecology
Ecotoxicology
Environment
Environmental Management
Environmental monitoring
Environmental science
Maximum temperatures
Minimum temperatures
Monitoring/Environmental Analysis
Nonparametric statistics
Parameters
Probability theory
River basins
Spatial discrimination
Spatial resolution
Temperature
Temperature extremes
Temperature trends
Trend analysis
Trends
Water management
Water resources
Water resources management
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Summary:In this study, the long-term trends in climatological parameters, viz., maximum temperature ( T MAX ) and minimum temperature ( T MIN ), are determined over 68 years (i.e., June 1951 to May 2019) using the gridded observation datasets (1° × 1° spatial resolution) of India Meteorological Department over the Narmada river basin, India. Multiple non-parametric techniques, viz., modified Mann-Kendall (MMK), Sen’s slope (SS), and Spearman’s rho (SR) tests, are used to determine monthly, seasonal, and annual trends over individual grids. The trends are also analyzed for the climatic variables spatially averaged over the entire basin to draw general conclusions on historical climate change. The results reveal a significant spatiotemporal variation in trends of T MAX and T MIN over the basin. In general, both the parameters are found to be increasing. Furthermore, the hottest months (April and May) have become hotter, and the coldest month (January) has become colder, implying a higher probability of increasing temperature extremes. Furthermore, the entire duration of 68 years is divided into two epochs of 34 years, i.e., 1951–1984 and 1985–2018, and the trend analysis of T MAX and T MIN is also carried out epoch-wise to better understand/assess the signals of climate change in recent years. In general, a relatively higher warming trend was observed in the latter epoch. As a majority of the basin area is dominated by agricultural lands, the implications of the temperature trends and their impacts on agriculture are succinctly discussed. The information reported in this study will be helpful for proper planning and management of water resources over the basin under the changing climatic conditions.
ISSN:0167-6369
1573-2959
DOI:10.1007/s10661-022-10534-6