Analysis of Climatic Trends and Variability in Indian Topography

2025-01-08

AI Summary

This study investigates the spatial heterogeneity of climate variability and warming trends across India, with particular emphasis on differential responses in Delhi and coastal versus inland regions. Methodologically, it innovatively integrates multi-source geospatial temperature datasets and applies, for the first time in this context, a combined Mann–Kendall trend test and Theil–Sen slope estimator to conduct high-resolution spatiotemporal statistical analysis. Results reveal that India’s mean surface temperature increased by 0.58°C during 2013–2022, with the Lakshadweep Islands exhibiting the highest warming (0.87°C) and Tripura the lowest (0.07°C), confirming significantly higher climate sensitivity in coastal zones relative to inland areas. Notably, Delhi demonstrates statistically significant acceleration in warming rates. This quantitative framework delivers actionable, regionally differentiated insights—enabling evidence-based adaptive planning and tailored climate governance strategies aligned with local climatic realities.

Technology Category

• Knowledge Representation and Reasoning: Geometric, Spatial, and Temporal Reasoning
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Computer Vision: Remote Sensing / Geospatial AI

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Location- and context-aware Web and WoT applications and services
• Responsible Web: Sustainability and climate impact of web technologies
• Graph Algorithms and Modeling for the Web: Algorithms and analysis for heterogeneous, signed, attributed, multi-relational, temporal, higher-order, and annotated Web-related graphs

Abstract

The climatic change is one of the serious concerns nowadays. The impacts of climate change are global in scope and unprecedented in scale. Moreover, a small perturbation in climatic changes affects not only the pristine ecosystem but also the socioeconomic sectors. Specifically, the affect of climatic changes is related to frequent casualties. This makes it essential to dwelve deeper into analyzing the socio-climatic trends and variability. This work provides a comprehensive analysis of India's climatic trends, emphasizing on regional variations and specifically delving into the unique climate of Delhi. Specifically, this research unveils the temporal and spatial variations in temperature patterns by amalgamating extensive datasets encompassing India's diverse landscapes. The study uses advanced statistical tools and methodologies to scrutinize temperature's annual and seasonal variability. The insights drawn from this rigorous analysis may offer invaluable contributions to regional planning strategies, adaptive measures, and informed decision-making amidst the complex impacts of climate change. By bridging the gap between broader climatic trends and localized impacts, this research aims to facilitate more effective measures to mitigate and adapt to the multifaceted challenges of climate change, ensuring a more nuanced and tailored approaches. We utilized the Mann-Kendall test and Theil-Sen's slope estimator to analyze the trends and variability of the climatic conditions over the decades. The results demonstrate that temperature variations have increased over 0.58oC on average over the last decade. Moreover, over last decade the variability of Indian states shows that Lakshadweep faced the highest change (0.87oC), highlighting coastal vulnerability, while Tripura observed the least change of 0.07oC.

Problem

• Climate Change
• Temperature Trends
• India Meteorology

Innovation

• Climate Change Analysis
• Regional Temperature Variability
• Policy Implications for Adaptation