📱 Latest Update: UGC Discontinues CARE Journal Listing: New Guidelines for Selecting Peer-Reviewed Journals View Now

International Journal of Climate Conditions Cover

International Journal of Climate Conditions

E-ISSN: 3049-3323 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

International Journal of Climate Conditions International Journal of Climate Conditions is a peer-reviewed online journal launched in 2024 dedicated to publishing high-quality research related to climate conditions and their impacts on the environment, human societies, and the global economy. The journal aims to provide a platform for scholars, researchers, and practitioners from different disciplines to share their knowledge and insights on various aspects of climate conditions and their implications. The International Journal of Climate Conditions strives to be a leading platform for high-quality research on climate conditions, providing a space for interdisciplinary collaboration and dialogue among scholars, practitioners, and policymakers.

View full focus & scope More

Journal Information

Title: International Journal of Climate Conditions
Abbreviation: ijcc
Issues Per Year: 2 Issues
E-ISSN: 3049-3323
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/IJCC
Starting Year: 2024
Subject: Social Sciences
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

View Full Editorial Board

ijcc maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Prashanthi Devi M, Professor

Bharathidasan University, Tamil Nadu, India, 620024

Email :

Latest Articles

Ahead of Print

India’s Changing Skies: Unravelling the Rise of Unpredictable Weather Extremes

India is currently experiencing a significant transformation in its climate system, characterized by rising temperatures, irregular rainfall patterns, and an increasing frequency of extreme weather events. These changes are no longer gradual or isolated but are becoming more visible and impactful across different regions of the country. This study provides a detailed examination of long-term climatic trends in India by analysing temperature variations, monsoon behaviour, and the growing occurrence of extreme events such as heatwaves, floods, and cyclones, with a focus on recent developments up to 2025–2026.

Climate change, heatwaves, monsoon variability, extreme weather events, urbanization, climate adaptation, India climate trend

Climate Change Threat in Jaipur: Mitigating and Sustainable Attributes Through Carbon Footprint Reduction

Challenges of climate change are significantly increasing on a forward time scale. Such a phenomenon is predominantly seen in urban sectors where population is rapidly increasing, thereby resulting in extensive resource consumption leading to release of significant carbon footprint. An attempt has been made in the present paper by the authors initially to assess the carbon footprint of Jaipur, Rajasthan on a backward and forward time scale partly to suggest mitigating measures and partly to link it with carbon credit schemes for achieving circular economy and providing sustainability.

Carbon footprint reduction, urban resilience, greenhouse gas emissions, urban heat island effect, urban forestry, adaptation strategies, carbon neutrality, green buildings and urban sustainability

An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study

As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a high-fidelity, real-time stream of environmental data.

AI driven IoT, KSK approach, decision making, climate change, CO2

Climate Change and Urban Heat Islands in India: A Review Across Nine Urban Agglomerations

Since 1901, anthropogenic climate change has raised India's mean surface temperatures by about 0.9°C, compounding warming. Rapid urbanization creates persistent Urban Heat Islands (UHIs), making cities dangerously hotter than rural areas. A combination of these forces presents acute thermal hazards to hundreds of millions of urban dwellers. The paper discusses the emergence and intensification of UHI in nine large Indian cities (Delhi-NCR, Ahmedabad, Chennai, Hyderabad, Kolkata, Pune, Bengaluru, Mumbai, and Patna) between 2001 and 2024.

Urban heat Island (UHI); surface UHI intensity (SUHII); land use land cover change; climate change; heat stress; multi-city India; urban greening; Patna

Climate variability analysis over the state of Himachal Pradesh, India

Longterm daily temperature and rainfall data (2000–2024) for thirty-five locations ranging from ~350 to >4000 m amsl were obtained from the NASA POWER database. The variability and trends in maximum, minimum temperature and rainfall were worked out by using different statistical tools and Mann-Kendal test
trend analysis. The mean annual maximum temperature of the state was 20.3°C (CV = 3.9%), declining from 27.4°C in the low hills to 7.2°C at high elevations, and
exhibited a consistent increasing trend, with comparatively higher warming rates at higher altitudes (~0.10°C yr⁻Âč) than in the lower (~0.01°C yr⁻Âč). Seasonal pooled
summer and monsoon maximum temperatures were 22.7°C and 25.5°C, respectively, both showing positive trends.

Temperature, rainfall, variability, trends, Himachal Himalayas

Forecasting Climate-Driven Healthcare Demand in Agricultural Regions: A Multi-Modal AI Approach

The rapidly increasing instability of world climatic regimes has made past meteorological thresholds irrelevant, especially in the agricultural areas where monetary stability and well-being of humans are closely intertwined with an environmental situation. The more the frequency of 1 in every 1000-year events, i.e., heatwaves and catastrophic flooding increase, the greater the rural healthcare systems are in crisis, i.e., unable to predict a surge in demand because of data scarcity, and unable to maintain an infrastructural level to accommodate it.

Climate change, rural healthcare systems, healthcare demand forecasting, agricultural vulnerability, heatwaves, floods, chronic kidney disease of unknown etiology (CKDu), mental health, normalized difference vegetation index (NDVI), synthetic data generation, federated learning, hybrid AI–physics models, time-series forecasting, artificial intelligence for social good