{"query_echo":{"q":"","filters":{"geography":["Phalodi"]},"warnings":[]},"total":{"value":9,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Phalodi","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"wwatt-000052","url":"https://climateinsightsdirectory.org/document/wwatt-000052","title":"Climate change exposes hundreds of millions to longer and deadlier pre-monsoon heat in South Asia","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"research paper","language":"en","date_published":"2026-05-14","source_url":"https://www.worldweatherattribution.org/climate-change-exposes-hundreds-of-millions-to-longer-and-deadlier-pre-monsoon-heat-in-south-asia/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study finds that anthropogenic climate change approximately tripled the probability of the April 2026 heatwave in northwestern India and Pakistan, making it about 1°C hotter than it would have been in a preindustrial climate. Analysis indicates that extreme heat is occurring earlier in the season, with the likelihood and intensity of April events increasing more rapidly than those in May. This trend extends the period of dangerous heat exposure for hundreds of millions of people, compounding risks to health, agriculture, and the economy. The report also highlights systemic vulnerabilities, noting that heatwaves are not officially declared disasters in India and Pakistan, which limits access to relief funding.","ai_generated":true,"unit":"wwatt-000052#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Human-induced climate change significantly increased both the likelihood and intensity of the 15-day heatwave in April 2026, approximately tripling the probability of such an event and making it about 1°C hotter than in a preindustrial climate.","ai_generated":true,"unit":"wwatt-000052#insight-1","date_modified":"2026-10-23"},{"text":"Extreme heat is increasing more rapidly in April than in May, resulting in a longer overall period of extreme heat for South Asia and increasing the risk of intense dry heat before the monsoon begins.","ai_generated":true,"unit":"wwatt-000052#insight-2","date_modified":"2026-10-23"},{"text":"In the ten years since 2016, the intensity of such heat events has increased by 0.3°C and the likelihood has risen by approximately 35%.","ai_generated":true,"unit":"wwatt-000052#insight-3","date_modified":"2026-10-23"},{"text":"Future projections indicate that with an additional 1.3°C of warming, these pre-monsoon heat events will become more than twice as likely and 1.2°C hotter.","ai_generated":true,"unit":"wwatt-000052#insight-4","date_modified":"2026-10-23"},{"text":"The warming trend in this region is partially offset by atmospheric aerosols and increased land surface irrigation, but these same factors increase relative humidity, which amplifies heat stress.","ai_generated":true,"unit":"wwatt-000052#insight-5","date_modified":"2026-10-23"},{"text":"Vulnerable populations, including outdoor workers and those in poor-quality housing, are disproportionately exposed to heat-related mortality, yet heatwaves are often ineligible for disaster relief funding in India and Pakistan because they are not notified or declared disasters.","ai_generated":true,"unit":"wwatt-000052#insight-6","date_modified":"2026-10-23"}],"climate_tags":["extreme heat","anthropogenic climate change","agricultural irrigation","urban heat island","climate change adaptation"],"geography_discussed":["South Asia","Karachi","Phalodi","Rajasthan","New Delhi","Mumbai","Delhi"],"frame_perspective":[],"analysis_type":["attribution study","trend analysis","vulnerability assessment"]},{"id":"cdkn-000089","url":"https://climateinsightsdirectory.org/document/cdkn-000089","title":"Heat wave in Phalodi, India, 19 May 2016","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"case study","language":"en","date_published":"2017-02-24","source_url":"https://cdkn.org/resource/phalodi","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"On 19 May 2016, Phalodi, India, recorded an all-time record high temperature of 51°C. An analysis by the Raising Risk Awareness Project found that while annual mean temperatures across India are increasing and heat waves in some small areas are becoming more frequent and intense, human-induced climate change did not play a detectable role in this specific event or a similar one in Andhra Pradesh in May 2015. The study suggests this lack of a detectable trend might be caused by irrigation use and the masking effect of aerosols on warming.","ai_generated":true,"unit":"cdkn-000089#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"On 19 May 2016, the city of Phalodi in Rajasthan reached a temperature of 51°C, marking an all-time record high for any calendar day in India and potentially the third-highest temperature ever documented globally.","ai_generated":true,"unit":"cdkn-000089#insight-1","date_modified":"2026-10-23"},{"text":"Analysis conducted by the Raising Risk Awareness Project and the World Weather Attribution initiative concluded that human-induced climate change did not contribute to the 19 May 2016 heat wave in north-western India or a similar one-day event in Andhra Pradesh in May 2015.","ai_generated":true,"unit":"cdkn-000089#insight-2","date_modified":"2026-10-23"},{"text":"The absence of a detectable climate change trend for these specific events may be attributed to irrigation use and the masking effect of aerosols on warming.","ai_generated":true,"unit":"cdkn-000089#insight-3","date_modified":"2026-10-23"}],"climate_tags":["heat wave","climate change","aerosol","agricultural irrigation"],"geography_discussed":["Rajasthan","Jodhpur district","Valsad","Gujarat","Jaipur","Delhi","Andhra Pradesh"],"frame_perspective":[],"analysis_type":["attribution analysis"]},{"id":"cdkn-000906","url":"https://climateinsightsdirectory.org/document/cdkn-000906","title":"Climate attribution science: a useful tool to plan for extreme heat events","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"policy brief","language":"en","date_published":"2017","source_url":"https://cdkn.org/sites/default/files/files/CDKN_RRA_HeatWave_PB_Pr2Final_WEB.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document discusses the increasing frequency and magnitude of extreme heat events in India, highlighting the role of climate attribution science in identifying the human-induced causes of these events. It emphasizes that such science helps decision-makers create targeted heat action plans that account for vulnerability, exposure, and local factors like the urban heat island effect, air pollution, and humidity. The brief notes that while aerosols can temporarily lower peak temperatures, their reduction through clean energy policies may increase heat wave intensity. It advocates for coordinated government responses, early warning systems, and capacity building to protect marginalized populations, such as slum dwellers and outdoor workers, who are most at risk.","ai_generated":true,"unit":"cdkn-000906#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Extreme heat events in India are increasing in frequency and magnitude, causing severe health issues like heat stroke and dehydration, particularly among marginalized urban communities. Between 1992 and 2015, the human death toll exceeded 22,500 people.","ai_generated":true,"unit":"cdkn-000906#insight-1","date_modified":"2026-10-23"},{"text":"Climate attribution science allows researchers to determine if specific heat waves are caused by human-induced climate change. For example, the 2015 heat events in Andhra Pradesh and Telangana were found to be twice as likely due to anthropogenic climate change.","ai_generated":true,"unit":"cdkn-000906#insight-2","date_modified":"2026-10-23"},{"text":"Local factors such as the 'urban heat island effect'—where metropolitan areas are warmer than rural surroundings due to human activity and lack of green space—increase the exposure and vulnerability of city residents to peak temperatures.","ai_generated":true,"unit":"cdkn-000906#insight-3","date_modified":"2026-10-23"},{"text":"Air pollution and aerosols (such as dust and smoke) can reflect sunlight and lower ground temperatures, but their reduction through the adoption of clean fuels and pollution standards may lead to an increase in the intensity and frequency of heat waves.","ai_generated":true,"unit":"cdkn-000906#insight-4","date_modified":"2026-10-23"},{"text":"Increased relative humidity, often linked to higher irrigation cover in northern and central India, can lower actual heat wave temperatures by using solar heat for evaporation, but it also masks the trend of rising pre-monsoon maximum temperatures and increases the health risk to humans.","ai_generated":true,"unit":"cdkn-000906#insight-5","date_modified":"2026-10-23"},{"text":"Effective heat action plans, such as those pioneered in Ahmedabad and Odisha, should integrate real-time attribution studies, early warnings from the Indian Meteorological Department, and coordinated inter-departmental efforts to protect high-risk groups like outdoor workers, children, and the elderly.","ai_generated":true,"unit":"cdkn-000906#insight-6","date_modified":"2026-10-23"}],"climate_tags":["extreme event attribution","anthropogenic climate change","urban heat island","air pollution","aerosol","climate change adaptation","public health"],"geography_discussed":["Andhra Pradesh","Telangana","Phalodi","Rajasthan","Ahmedabad","Odisha"],"frame_perspective":[],"analysis_type":["policy analysis","scientific review"]},{"id":"cdkn-000907","url":"https://climateinsightsdirectory.org/document/cdkn-000907","title":"The heat wave in Phalodi, Rajasthan, India, 19 May 2016","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2017","source_url":"https://cdkn.org/sites/default/files/files/CDKN_RRA_India_Heatwave_WEB-final.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report investigates the 51°C record temperature in Phalodi, Rajasthan, on 19 May 2016. While annual mean temperatures in India are increasing, the analysis found that human-induced climate change did not play a statistically significant role in this specific event or a similar 2015 event in Andhra Pradesh. The authors suggest that the warming effect of greenhouse gases may be masked by the cooling effects of aerosols and increased irrigation. However, the report warns that as energy policies shift away from fossil fuels, the diminishing cooling effect of aerosols could increase the intensity of future heat waves.","ai_generated":true,"unit":"cdkn-000907#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"On 19 May 2016, the city of Phalodi in Rajasthan recorded a temperature of 51°C, setting an all-time record for any calendar day in India.","ai_generated":true,"unit":"cdkn-000907#insight-1","date_modified":"2026-10-23"},{"text":"The analysis concluded that human-induced climate change did not play a significant role in the 2016 Phalodi heat wave or the May 2015 heat event in Andhra Pradesh, which differs from findings in other global regions like Europe.","ai_generated":true,"unit":"cdkn-000907#insight-2","date_modified":"2026-10-23"},{"text":"While annual mean temperatures across India are rising, the increase in frequency and intensity of heat waves is concentrated in relatively small areas rather than being a nationwide trend.","ai_generated":true,"unit":"cdkn-000907#insight-3","date_modified":"2026-10-23"},{"text":"Aerosols may be offsetting surface warming trends in India, particularly during the pre-monsoon season, by blocking sunlight.","ai_generated":true,"unit":"cdkn-000907#insight-4","date_modified":"2026-10-23"},{"text":"Increased irrigation in northern and central India has likely contributed to lower or absent trends in pre-monsoon maximum temperatures because solar energy is used for evaporation rather than heating.","ai_generated":true,"unit":"cdkn-000907#insight-5","date_modified":"2026-10-23"},{"text":"The 2016 heat wave resulted in at least 16 deaths in Rajasthan, 17 in Gujarat, and 7 in Madhya Pradesh, while also causing crop failures affecting hundreds of millions of people.","ai_generated":true,"unit":"cdkn-000907#insight-6","date_modified":"2026-10-23"}],"climate_tags":["heat wave","climate change","aerosol","agricultural irrigation","extreme event attribution","public health"],"geography_discussed":["Andhra Pradesh","Gujarat","Madhya Pradesh","Europe"],"frame_perspective":[],"analysis_type":["attribution study","observational analysis"]},{"id":"cdkn-000237","url":"https://climateinsightsdirectory.org/document/cdkn-000237","title":"Strengthening disaster risk management in India: A review of five state disaster management plans","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2016-07-11","source_url":"https://cdkn.org/resource/strengthening-disaster-risk-management-india-review-state-disaster-management-plans","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research reviews the SDMPs of Assam, Bihar, Gujarat, Odisha, and Uttarakhand, finding that while they provide a foundation for coordination, they overemphasize response and relief over prevention and risk reduction. The report recommends clarifying institutional responsibilities, innovating financing models, mainstreaming risk reduction across state departments, and better incorporating socioeconomic vulnerabilities and climate change risks into assessments.","ai_generated":true,"unit":"cdkn-000237#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The reviewed state disaster management plans (SDMPs) generally prioritize post-disaster response and relief over the other stages of the disaster management cycle.","ai_generated":true,"unit":"cdkn-000237#insight-1","date_modified":"2026-10-23"},{"text":"To improve disaster risk management, SDMPs need to better integrate the socioeconomic vulnerabilities of marginalized groups, including women and the extreme poor, and account for the escalating risks posed by climate change.","ai_generated":true,"unit":"cdkn-000237#insight-2","date_modified":"2026-10-23"},{"text":"The research identifies several systemic gaps in current SDMPs, including a lack of clear institutional responsibilities, insufficient mainstreaming of risk reduction across state sectors, and a need for better alignment with the Sendai Framework.","ai_generated":true,"unit":"cdkn-000237#insight-3","date_modified":"2026-10-23"}],"climate_tags":["disaster risk reduction","climate change","vulnerability assessment","climate finance"],"geography_discussed":["Assam","Bihar","Gujarat","Odisha","Uttarakhand","Chennai","Tamil Nadu","Phalodi","Rajasthan"],"frame_perspective":[],"analysis_type":["policy review"]},{"id":"wwatt-000001","url":"https://climateinsightsdirectory.org/document/wwatt-000001","title":"India Heat Wave 2016","publisher":{"name":"World Weather Attribution","organization":"world-weather-attribution"},"document_type":"research paper","language":"en","date_published":"2016-06-01","source_url":"https://www.worldweatherattribution.org/india-heat-wave-2016/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The analysis found that while human-induced climate change slightly increased the probability of the 2016 record-breaking heat in Rajasthan, the effect was not statistically significant. The study suggests that the warming effect of greenhouse gases in India is being partially offset by the cooling effects of aerosols and increased irrigation. Despite the lack of a strong temperature trend, the combination of high heat, pollution, and humidity is increasing the health risks and mortality associated with heat waves.","ai_generated":true,"unit":"wwatt-000001#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"On May 19, 2016, the city of Phalodi in Rajasthan recorded a temperature of 51°C, establishing an all-time record for any calendar day in India.","ai_generated":true,"unit":"wwatt-000001#insight-1","date_modified":"2026-10-23"},{"text":"Analysis of the May 19, 2016 event in Rajasthan and a similar 2015 event in Andhra Pradesh showed no statistically significant trend in the risk of such heat waves, which differs from findings in other global regions like Europe.","ai_generated":true,"unit":"wwatt-000001#insight-2","date_modified":"2026-10-23"},{"text":"Human-induced climate change slightly increased the probability of 51°C maximum temperatures being exceeded in the Phalodi region in 2015, moving from a 1 in 20-30 year event to a 1 in 7-10 year event, though natural sea surface temperatures had a higher influence.","ai_generated":true,"unit":"wwatt-000001#insight-3","date_modified":"2026-10-23"},{"text":"Aerosols in the atmosphere are likely offsetting the surface warming trend in India, particularly for pre-monsoon maximum temperatures, by blocking sunlight.","ai_generated":true,"unit":"wwatt-000001#insight-4","date_modified":"2026-10-23"},{"text":"Increased irrigation in northern and central India has likely contributed to lower or absent trends in pre-monsoon maximum temperatures by using solar energy for evaporation rather than heating.","ai_generated":true,"unit":"wwatt-000001#insight-5","date_modified":"2026-10-23"},{"text":"The health impacts of heat waves in India are exacerbated by high air pollution and increasing humidity, which hinders the body's ability to cool down through sweat evaporation.","ai_generated":true,"unit":"wwatt-000001#insight-6","date_modified":"2026-10-23"},{"text":"The May 2016 heat wave resulted in at least 17 deaths in Gujarat, 7 in Madhya Pradesh, and 16 in Rajasthan, while also causing crop failures affecting hundreds of millions of people.","ai_generated":true,"unit":"wwatt-000001#insight-7","date_modified":"2026-10-23"}],"climate_tags":["heat wave","extreme event attribution","aerosol","agricultural irrigation","sea surface temperature","effects of climate change on human health"],"geography_discussed":["Phalodi","Andhra Pradesh","Gujarat","Madhya Pradesh","Europe","California"],"frame_perspective":[],"analysis_type":["statistical analysis","climate modeling","observational analysis"]},{"id":"cdkn-000613","url":"https://climateinsightsdirectory.org/document/cdkn-000613","title":"RESILIENCE – Making Indian Cities Climate Smart","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://cdkn.org/sites/default/files/files/India-UK-Partnership-Climate-Smart-Cities-final-version-for-upload-v2.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The India-UK partnership focuses on making Indian cities climate-smart by integrating climate risk data into urban planning and infrastructure. Key initiatives include the 'Future Proofing Indian Cities' programme, which assessed 59 cities for environmental risks, and the 'Disaster Proofing Indian Smart Cities' project, which provides guidance on the resilience of Digital Information Technology (DIT). The partnership has delivered specific action plans and investment strategies for cities such as Mysore, Madurai, Bangalore, Aluva, and Kolkata, while also supporting the development of national Heat Action Plans to combat increasing extreme heat waves.","ai_generated":true,"unit":"cdkn-000613#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 'Future Proofing Indian Cities' programme, developed by ATKINS and University College of London (UCL) with DFID UK, assessed 59 Indian cities for environmental risks. The analysis revealed that these cities face diverse risks from climate hazards and resource scarcities, which are exacerbated by investments in water, building, and energy infrastructure that ignore climate risks.","ai_generated":true,"unit":"cdkn-000613#insight-1","date_modified":"2026-10-23"},{"text":"The partnership implemented specific urban development strategies in four cities: Mysore focused on reducing emission intensity; Madurai co-created a City Action Plan for blue-green infrastructure; Bangalore identified transformational opportunities for water and sanitation; and Aluva developed a 50-year masterplan covering transport, solid waste, and flooding proofing.","ai_generated":true,"unit":"cdkn-000613#insight-2","date_modified":"2026-10-23"},{"text":"To ensure the resilience of the 'Smart Cities Mission', the 'Disaster Proofing Indian Smart Cities' project created a guidance document for the procurement and selection of Digital Information Technology (DIT). This ensures that critical emergency services can continue to function during natural hazards.","ai_generated":true,"unit":"cdkn-000613#insight-3","date_modified":"2026-10-23"},{"text":"The UK government signed a Memorandum of Understanding with the Kolkata Municipal Corporation to establish a roadmap for low carbon and climate resilient development, aiming to make Kolkata the first climate resilient city in India through pilots in solar plans, water conservation, and smart mobility.","ai_generated":true,"unit":"cdkn-000613#insight-4","date_modified":"2026-10-23"},{"text":"Analysis by CDKN indicates that annual mean temperatures across India are rising and extreme heat waves are becoming more intense and frequent. This led to the development of 'Heat Action Plans' and the 'Roadmap on National Heatwave Management in India' launched by the NDMA, WHO, and other partners in September 2016.","ai_generated":true,"unit":"cdkn-000613#insight-5","date_modified":"2026-10-23"}],"climate_tags":["urban planning","climate resilience","green infrastructure","climate finance","extreme heat","renewable energy","rooftop photovoltaic system"],"geography_discussed":["United Kingdom","Mysore","Madurai","Bengaluru","Aluva","Amravati","Pune","Varanasi","Indore","Kolkata","West Bengal","Bihar","Odisha","Andhra Pradesh","Telangana","Madhya Pradesh","Phalodi","Rajasthan","Ahmedabad"],"frame_perspective":[],"analysis_type":["case study","policy review","project evaluation"]},{"id":"cdkn-000620","url":"https://climateinsightsdirectory.org/document/cdkn-000620","title":"Raising Risk Awareness","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://cdkn.org/sites/default/files/files/Infographic-with-case-studies.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed"],"summary":{"text":"The document discusses the application of extreme event attribution to understand the role of climate change in specific weather events, using two Indian case studies to illustrate the complexities of vulnerability and the masking effects of aerosols.","ai_generated":true,"unit":"cdkn-000620#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In the case of the extreme one-day rainfall in Chennai on 1 December 2015, researchers found no measurable effect of human-caused emissions, which was likely due to the masking effects of high levels of aerosol pollution in the region.","ai_generated":true,"unit":"cdkn-000620#insight-1","date_modified":"2026-10-23"},{"text":"Chennai's high vulnerability and exposure to flooding are driven by land-use issues, including the loss of water bodies, encroachment of drainage channels and rivers, decreased natural areas, and the uncontrolled growth of built-up areas.","ai_generated":true,"unit":"cdkn-000620#insight-2","date_modified":"2026-10-23"},{"text":"While annual mean temperatures across India are increasing in line with human-caused climate change, analysis of individual heatwaves, including the record high of 51°C in Phalodi on 19 May 2016, did not find that human-induced climate change played a role.","ai_generated":true,"unit":"cdkn-000620#insight-3","date_modified":"2026-10-23"},{"text":"The lack of a detectable climate change trend in certain Indian heatwaves may be attributed to irrigation use and the masking effect of aerosols on warming, noting that aerosol optical depth is decreasing in areas where maximum temperatures are increasing.","ai_generated":true,"unit":"cdkn-000620#insight-4","date_modified":"2026-10-23"}],"climate_tags":["extreme event attribution","climate change","flood","heat wave","climate change adaptation","land use","climate change vulnerability"],"geography_discussed":["Chennai","Phalodi","Jodhpur district","Rajasthan"],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000746","url":"https://climateinsightsdirectory.org/document/cdkn-000746","title":"Building capacity for risk management in a changing climate","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":null,"source_url":"https://cdkn.org/sites/default/files/files/RRA-project-synthesis-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Raising Risk Awareness (RRA) project focused on applying extreme event attribution to understand the role of climate change in specific weather events in Ethiopia, India, and Kenya, while using the Surging Seas tool to assess coastal flooding risk in Bangladesh. The project sought to bridge the gap between science, communication, and policy to improve disaster risk management in developing countries.","ai_generated":true,"unit":"cdkn-000746#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In Ethiopia, analysis of the 2015 drought, which affected nearly 10 million people, found that while El Niño exacerbated the drought during the July–September rainy season, a measurable influence of climate change was not detected, although a small impact could not be entirely excluded.","ai_generated":true,"unit":"cdkn-000746#insight-1","date_modified":"2026-10-23"},{"text":"Attribution studies in India for the December 2015 Chennai floods and the May 2016 Phalodi heatwave did not find a measurable role for human-induced climate change. This discrepancy between observations and climate models may be due to high levels of aerosol pollution masking warming effects or the influence of irrigation.","ai_generated":true,"unit":"cdkn-000746#insight-2","date_modified":"2026-10-23"},{"text":"Analysis of the 2016–2017 drought in Kenya indicated that human-induced climate change likely contributed to higher than usual temperatures, but it did not have a strong influence on the lack of rainfall.","ai_generated":true,"unit":"cdkn-000746#insight-3","date_modified":"2026-10-23"},{"text":"In Bangladesh, the project utilised the Surging Seas tool to map coastal flooding risk, noting that over 48% of the population of 163 million people lives less than 10 metres above sea level. The project identified that improving the accuracy of coastal elevation modelling and acquiring high-quality local data are critical for policy-maker uptake.","ai_generated":true,"unit":"cdkn-000746#insight-4","date_modified":"2026-10-23"},{"text":"Effective communication of attribution results requires tailoring to the audience; for example, Kenyan decision-makers preferred percentages for probability, while the Indian public found the phrase 'frequency… twice in a lifetime' easiest to understand, though 'lifetime' was criticised in Kenya due to varying lifespans among the poor.","ai_generated":true,"unit":"cdkn-000746#insight-5","date_modified":"2026-10-23"},{"text":"The project highlighted a 'science–communications–policy gap', noting that attribution results are most actionable during the immediate window after an event when policy-makers are more likely to prioritise climate risk in recovery and rebuilding planning.","ai_generated":true,"unit":"cdkn-000746#insight-6","date_modified":"2026-10-23"}],"climate_tags":["extreme event attribution","climate risk management","drought","flood","heat wave","sea level rise","disaster risk reduction","climate change communication","coastal flood"],"geography_discussed":["Chennai","Phalodi","Rajasthan","Andhra Pradesh","Nairobi","Addis Ababa","Dhaka"],"frame_perspective":[],"analysis_type":["synthesis report","case study"]}]}