Assessment of spatiotemporal variability of rainfall and surface wind speed over the eastern coastal agro-ecological zones of India using advanced trend detection approaches

• Published in: Theoretical and applied climatology Vol. 154; no. 1-2; pp. 311 - 335
• Main Authors: Paramaguru, Pradosh Kumar, Panda, Kanhu Charan, Suna, Truptimayee, Rajput, Jitendra
• Format: Journal Article
• Language: English
• Published: Vienna Springer Vienna 01-10-2023; Springer; Springer Nature B.V
• Subjects: Analysis; Annual rainfall; Aquatic Pollution; Aquatic resources; Atmospheric Protection/Air Quality Control/Air Pollution; Atmospheric Sciences; Climate change; Climate science; Climatic extremes; Climatology; Coastal ecology; Coastal zone; Earth and Environmental Science; Earth Sciences; Global temperature changes; India; Management; Monsoons; Parameters; Precipitation; Precipitation variability; Rain and rainfall; Rainfall; Seasonal rainfall; Seasons; Surface wind; Trend analysis; Trends; Variability; Waste Water Technology; Water; Water Management; Water Pollution Control; Water resources; Water resources management; Wind; Wind speed; Wind speed trends; India
• ISSN: 0177-798X; 1434-4483
• DOI: 10.1007/s00704-023-04556-4

Rainfall and near-surface wind speed are two crucial parameters affecting climate change-induced extreme events. It is essential to perform a trend analysis of these parameters to assess the spatiotemporal variation of these events. Thus, the current study aimed to investigate seasonal rainfall and near-surface wind speed variability over six eastern coastal agro-ecological zones (AEZs) of India (AEZs 3, 7, 8, 11, 12, and 18) over 101 years (1920–2020). Further, the Mann–Kendall (MK), modified Mann–Kendall (MMK), bootstrapped Mann–Kendall (BMK), innovative trend analysis (ITA), and detrended fluctuation analysis (DFA) tests were employed in this study to analyse the trends of rainfall and near-surface wind speed. An increasing trend was noticed in the annual rainfall in the southern AEZs and the zones adjacent to the coastline. In the pre-monsoon season, the AEZs 12 and 18 showed an increasing rainfall trend, whereas the remaining AEZs demonstrated a decreasing trend. Except for AEZ 7, all zones experienced a negative rainfall trend in the post-monsoon season. The results revealed that all AEZs had negative near-surface wind speed trends, which could be attributed to climate change. ITA outperformed the rest of the trend analysis techniques in detecting hidden trends. The DFA test revealed that the trend pattern would continue in the future for 56% of the datasets. This study will assist researchers and policymakers in developing a sustainable water resources management plan by considering the trend patterns of meteorological variables across the agro-ecological regions.