To meet the growing demand for vegetable production and promote sustainable agriculture, it is imperative to implement effective input management and adopt eco-friendly farming practices. This study aims to compare the environmental impacts of conventional and organic tomato cultivation in the northern plains of India. This study utilizes SimaPro 9.1.1 software for a comprehensive cradle-to-farm gate Life Cycle Assessment (LCA), assessing production stages, identifying key environmental factors, and incorporating ReCiPe Midpoint and Endpoint methods with one-hectare as a functional unit. Findings reveal that conventional cultivation is more affected by fertilizer application and transplanting, while organic cultivation emphasizes transplanting and irrigation. Organic cultivation contributes 904.708 kg CO₂, while conventional cultivation contributes 1307.917 kg CO₂ to Global Warming potential. Switching to organic cultivation leads to a significant 35.04% decrease in all impact categories. Using the endpoint method, organic cultivation achieves a notable 27.16% reduction, scoring 58.30 compared to conventional cultivation's 80.04. The LCA analysis of tomato cultivation highlights Fertilizer application as the predominant environmental concern, emphasizing the need for sustainable techniques to minimize waste and mitigate environmental impacts. This study recommends imposing restrictions on fertilizer and pesticide use and formulating effective policies to promote the adoption of sustainable practices.

Compound weather and climate extremes have amplified impacts on natural and socioeconomic systems across the world, including Singapore. To better understand the spatial and temporal characteristics of compound climate extremes, including concurrent rainfall and wind speed, as well as dry and hot conditions, we analyzed long-term observations from 11 selected meteorological stations over the period 1985–2020. The results revealed that the north and northeastern parts of Singapore were focal points for both types of compound extremes, with a higher frequency of occurrence than the southwest of the island. Concurrent rainfall and wind speed extremes were the most prominent in December and January thanks to the northeast monsoon, while dry and hot extremes were distributed mainly in the inter-monsoon season, with peaks in March and April. A notable upward trend was also detected for mild and moderate levels of both compound climate extremes over time. According to our review of the impacts, Singapore has benefited from investments in enhanced water infrastructure; water resource availability was less affected; and flash floods were not proportionally related to the severity of climate extremes. The forests in the urban landscape of Singapore also exhibit resilience to drought.

In recent years, in many parts of the country, indebtedness, crop failures, unpaid prices and poor returns have resulted in agrarian distress. The government has identified and introduced several programs to address these critical issues viz. crop insurance, lending waivers etc. among them. Crop insurance as a concept for risk management in agriculture has emerged in India since the turn of the twentieth century and government has launched various insurance schemes in last three decades like Comprehensive Crop Insurance Scheme (CCIS), National Agricultural Insurance Scheme (NAIS) and Modified NAIS (MNAIS) etc. Apart from these schemes, several other pilot projects such as Seed Crop Insurance, Farm Income Insurance Scheme and Weather Based Crop Insurance Scheme (WBCIS) were implemented from time to time. At present, two most important schemes are functional i.e. Pradhan Mantri Fasal BimaYojna (PMFBY) and Restructured Weather Based Crop Insurance Scheme (RWBCIS) are in operation. This study focused on the performance of the Restructured Weather based Crop Insurance Scheme (RWBCIS) from historical and analytical perspectives and presents recommendation for future scenarios. RWBCIS scheme having two most important challenges. Firstly, weather data related issues by designing a modern scientific approach to develop high resolution secondary data and secondly, modifying the existing design of RWBCIS Products, based on sound agronomic principles.

Evidence showing a strengthening of intense cold surge event (CSE) in East Asia, e.g. CSE of Jan 2016 and Jan–Feb 2008, is focusing attention towards the science of CSE onset prediction. Predicting the onset of such strong CSEs remains elusive as the extent of these surges varies over spatial and temporal scales. Changes in radiative cooling over Siberia in winter as potentially affected by changes in the Arctic are further expected to influence CSE occurrences in East Asia. Moreover, unprecedented and long lasting CSEs in East Asia have a very distinct Jet Stream pattern via their shifts from the climatological mean, influencing the lower troposphere. Here, using modelling framework we propose a new relationship between Jet Stream and Aleutian Low for identifying and characterizing atmospheric process that leads to CSEs in East Asia. Our results reveal new insight into the mechanisms of CSEs occurrences, the absence of which may lead to major constraints on reducing CSE onset prediction error.

Extreme heat and heatwaves driven by global warming pose escalating risks globally, particularly in Southeast Asia (SEA), home to 680 million people, with a high concentration in urban areas. This study made use of CMIP6-based convection-permitting dynamically downscaled simulations at 8 km resolution over SEA under the three Shared Socioeconomic Pathways (SSP) scenarios: SSP1-2.6, SSP2-4.5, and SSP5-8.5. Projected changes in daily maximum temperatures and key heat metrics including the frequency of hotter days, heatwaves, and cumulative heat intensity and exposure time were analyzed across the region, as well as for individual countries and cities, for the near future (2040-2059) and far future (2080-2099) relative to the historical baseline (1995-2014). Results indicate a substantial rise in daily maximum temperatures over SEA, with average increases of 1.0-2.1 °C by 2040-2059 and 1.1-4.0 °C by 2080-2099 across the three scenarios. The Mekong Delta, eastern Sumatra and southern Borneo are identified as hotspots with pronounced temperature increase. More frequent and prolonged heatwaves are also projected over SEA, with heatwave frequency and duration doubling around 2025 and 2040, respectively, across the three scenarios, and increasing fivefold around 2045 and 2070, respectively, under SSP5-8.5. Specifically, the Maritime Continent is projected to face a notably higher frequency of hotter days, establishing a new heat norm by the end of the century. Under SSP2-4.5 and SSP5-8.5, approximately 4 and 9 months/year, respectively, will be as hot as or hotter than the historical 5 % hottest days. Cities along the Strait of Malacca and on Java are expected to experience extreme heat with heightened cumulative intensity and longer durations. Mitigating emissions along a low-carbon pathway would provide substantial benefits for the Maritime Continent in the second half of the century, not only for human health but also for agriculture and ecosystems. This study provides the highest resolution and most updated projections of extreme heat over SEA to help inform targeted climate adaption strategies in this highly vulnerable region.

Strong cold surge events (CSEs) are some of the most distinct winter weather events in East Asia, impacting natural ecosystems and over 100 million individuals. The impact of such extreme CSEs as driven by synoptic systems is direct and immediate. Changes in large-scale synoptic patterns as potentially affected by changes in the Arctic are further expected to influence CSE occurrences in East Asia. Defying a straightforward analysis, semi-permanent atmospheric systems such as the Siberian High (SH), influencing large-scale synoptic patterns, make the atmospheric circulation highly variable and assessment of CSE onset difficult. Rather varied region-specific metrics are currently adopted for predicting CSE occurrence locally but the fundamental understanding of the onset of CSEs continues to be a major challenge. Based on an analysis of monthly synoptic patterns for three unusual CSEs in East Asia and further extended for eight strong to extreme CSEs, we propose a new coupling framework for an improved understanding and interpretation of the atmosphere dynamics driving CSE onset. The coupling framework involves linkages between the Siberian High, Aleutian Low, and Jet Stream. We also present the first meteorological scale for categorizing the intensity of such unusual CSEs.