Search Climate Insights Directory

This research paper examines soil respiration (Rs) across four levels of disturbance in the sclerophyllous ecosystems of the National Reserve Roblería del Cobre de Loncha in Central Chile, finding that higher disturbance levels significantly reduce carbon output and increase vulnerability to predicted climate change.

This research paper evaluates the effectiveness of various machine learning and deep learning models in predicting agricultural drought indicators, specifically soil moisture and the Palmer drought severity index (PDSI), across Sweden.

This policy brief by the Stockholm Environment Institute examines the relationship between socio-economic status and exposure to PM2.5 air pollution in Bangkok. Based on a study of five districts and 400 participants, it finds that informal workers and low-income residents face higher exposure and more health symptoms, while public perception of air quality often contradicts government monitoring data.

This policy brief examines the relationship between air pollution exposure, socioeconomic status, and public perception in Bangkok. It highlights that informal workers and low-income individuals face higher health risks and exposure, while public awareness of air quality often contradicts official government monitoring data.

This research paper uses a Water Evaluation and Planning (WEAP) model and five CMIP5 GCMs to assess the impacts of climate change on the Sittaung river basin (SRB) in Myanmar across baseline (1985–2014), near future (2021–2050), and far future (2051–2080) periods.

This policy brief details research by the International Center for Tropical Agriculture (CIAT) and the University of the West Indies (UWI) on how climate change will affect cocoa and tomato production in Jamaica, while identifying potential diversification crops and shifting suitability zones.

This policy brief analyzes the relationship between climate-related hazards—specifically inland flooding, storm surges, and riverbank erosion—and long-term migration patterns in Bangladesh. Using historical census data and World Bank projections, the authors estimate that an additional 9.6 million people are likely to migrate from affected upazilas (sub-districts) between 2011 and 2050. The document advocates for government interventions in employment skills training and urban planning to support migrants and reduce disaster risks in cities.

This fact sheet describes a project led by the Universidad Nacional Autónoma de México (UNAM) to improve the prediction and historical understanding of landfalling tropical cyclones in the Eastern Pacific (EPAC) basin, focusing on historical reconstruction, lightning patterns, and high-resolution modeling.

This policy brief introduces the Climate Impact Equity Lens (CIEL), a tool developed by the Stockholm Environment Institute to analyze climate change impacts on individuals rather than relying on aggregate regional or global economic models. CIEL identifies 'winners' and 'losers' by comparing the costs of climate damages against the savings gained from not investing in emission reductions. The brief argues that while many currently benefit from inaction, the majority of the global population will suffer net losses by 2100, and almost everyone will be a net loser by 2150, necessitating more stringent and fair climate policies to protect the most vulnerable.

This fact sheet describes a study analyzing transition zones (ecotones) between forest and non-forest sites across one Canadian and four South American locations to understand how climate change and human intervention drive ecosystem displacements.

This research paper uses spatial modeling to identify drivers of forest loss and predict future deforestation within six CARPE landscapes in the Democratic Republic of the Congo between 2015 and 2025.

This research paper presents a deep learning framework developed by the World Resources Institute (WRI) to forecast reservoir water volumes in India over a 90-day period to mitigate risks of water-driven power outages.

This technical note introduces Aqueduct 4.0, a water risk framework by the World Resources Institute (WRI) that translates complex hydrological data into 13 indicators of global water risk. The framework utilizes the PCR-GLOBWB 2 model to analyze current conditions and project future water supply and demand across various climate scenarios for 2030, 2050, and 2080.