The Rising Scientific Interest in Solar Radiation Management Once relegated to the fringes of climate science, solar radiation management—particularly through…
The Climate Finance Imperative at COP30 As the world approaches the pivotal COP30 climate conference in Belém, Brazil, the spotlight…
The Arctic’s Dramatic Transformation Recent scientific assessments reveal that the Arctic is undergoing unprecedented changes, with weather and climate extremes…
A groundbreaking study combining machine learning with climate analysis reveals how Himalayan urbanization is creating dangerous rainfall extremes. Researchers found urban districts experiencing both heavier downpours and longer dry periods, signaling a new hydroclimatic reality for the region.
According to a comprehensive new study published in Earth Systems and Environment, the rapid urbanization of the Himalayan foothills is creating unprecedented rainfall extremes that threaten regional water security and disaster management. The research, led by Dr. Sumanta Das from Ramakrishna Mission Vivekananda Educational and Research Institute in collaboration with international scientists, analyzed four decades of precipitation data across Uttarakhand using advanced machine learning techniques.
Strategic Climate Diplomacy UK Prime Minister Sir Keir Starmer has confirmed his attendance at November’s COP30 climate summit in Brazil,…
Major insurers are retreating from high-risk areas as climate disasters accelerate, leaving homeowners facing soaring premiums. The financial impacts are cascading through global markets, affecting everything from mortgage securities to food prices and government borrowing costs.
Climate change is increasingly testing the limits of insurance markets, with major providers reportedly pulling back from high-risk areas and raising concerns about broader economic stability. According to analysis from sustainability experts, thousands of families in California now face sharply higher premiums or scarce alternatives as insurers retreat from wildfire-prone regions.
