Explore the distinctions between weather and climate, delve into the Kppen-Geiger Climate Classification System, and discover major climate categories such as tropical climates. Gain insights into climate change and its impact on our environment.

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The National Climate Change Bill aims to establish an effective response to climate change in South Africa, promoting a transition to a low-carbon, climate-resilient economy. It focuses on coordinated actions, adaptive capacity enhancement, greenhouse gas management, and a fair global contribution.

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This information details the regional climate modeling efforts within the CORDEX South Asia framework, focusing on high-resolution dynamical downscaling of CMIP5 climate projections. It highlights the activities, opportunities, and challenges for assessing regional climate change, along with future

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Investment assessments using Integrated Assessment Models (IAMs) are evolving to include biophysical climate impacts, assessing climate uncertainty on investments. The approach involves the MESSAGEix-GLOBIOM IAM, considering climate policy, SDG measures, and impacts under different scenarios. Climat

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Heisenberg's Uncertainty Principle, proposed by German scientist Werner Heisenberg in 1927, states the impossibility of simultaneously and accurately determining the position and momentum of microscopic particles like electrons. This principle challenges classical concepts of definite position and m

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Exploring Bayesian reasoning principles such as Bayesian inference and Naïve Bayes algorithm in the context of uncertainty. The content covers the sources of uncertainty, decision-making strategies, and practical examples like predicting alarm events based on probabilities.

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Gender-based climate change litigation is emerging as a potential solution to address the disproportionate impact of climate change on different genders. Various international bodies have recognized the importance of integrating a gender-responsive approach in climate action to uphold human rights,

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Measurement uncertainty in testing is a crucial aspect that characterizes the dispersion of values attributed to a measurand. This uncertainty plays a key role in reporting accurate test results, requiring careful evaluation of all significant contributions. The ISO/IEC Guide 98 GUM provides essenti

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Explore the tension between creativity and efficiency in innovation through Pearsons' Uncertainty Map (1991), which categorizes uncertainty about ends and means. The map helps analyze uncertainty in various innovation processes, from exploratory research to improving existing products, offering insi

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This proposal outlines a regional project focusing on enhancing climate resilience and agricultural productivity in Pakistan, Mongolia, and the People's Republic of China (PRC). The project aims to increase access to credit for smallholder farmers, promote climate-smart agriculture technologies, and

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Tokyo Climate Center, under Japan Meteorological Agency, uses climate models to assess global warming effects. The observed trends in Tokyo show a significant rise in temperature but no discernible trend in precipitation. Future projections indicate a substantial increase in temperature with uncerta

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Climate litigation in Europe focuses on individual rights and the shortcomings of traditional governance mechanisms in addressing climate change. The emergence of climate litigation as a crucial tool in governance is driven by the need to protect individuals and specific groups who are disproportion

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This study by A.A. Sonzogni and E.A. McCutchan focuses on developing cumulative fission yield covariances for uncertainty quantification in nuclear reactors. The research involves calculating cumulative fission yields, using decay data and nuclear databases, to improve accuracy in predicting fission

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Amidst the rise of cryptocurrencies, particularly Bitcoin, this study by Dr. Ur Koumba explores the relationship between uncertainty and cryptocurrency returns using a Copula-based approach. The research delves into the impact of uncertainty on the volatile nature of cryptocurrencies, shedding light

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This study discusses systemic climate risk in the financial sector by examining the effects of climate risks on financial institutions. It aims to design a market-based framework to assess the vulnerability of financial institutions to climate risks and analyze potential contagion effects. The frame

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Explore the Climate Justice Theory of Change, key definitions, impact indicators, and the importance of climate-relevant decision-making in this informative webinar. Gain insights on climate adaptation, resilience, and the effects of climate change, all aimed at empowering marginalized communities t

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Known patterns and models exist for heavy rainfall forecasting, but uncertainty remains. Ensembles and probabilities help manage this uncertainty. Sharp edges in precipitation shields are key, with models improving to anticipate these features more accurately. Understanding the dynamics of edges can

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The Climate Futures Framework provides insights into using climate projections for impact assessments, emphasizing the importance of tailoring projections to specific objectives. Typical climate projections involve central tendencies and uncertainty ranges, but assessing multiple variables jointly r

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The document discusses climate change projections for the Chesapeake Bay in 2025, focusing on factors like sea level rise, temperature increase, and precipitation change. It outlines proposed policy decisions, addressing uncertainties in climate change impacts on water quality and the need to incorp

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The uncertainties in the direct radiative forcing of aerosols can be assessed by considering factors such as emissions, lifetime, Mass Absorption Cross Section (MAC), Aerosol Absorption Optical Depth (AAOD), and forcing efficiency. Variations in these factors contribute to the overall uncertainty in

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Reviewing the O2 CO2 calibration uncertainty, recent updates include identifying beam clipping on the reflection photodiode, switching to the transmitted photodiode, correcting time-dependent errors, and reducing overall uncertainty budget to primarily statistical uncertainty. Data and scripts used

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This research explores the impact of uncertainty and precommitment on social dilemmas, specifically focusing on the Interdependent Security (IDS) scenario. It investigates how precommitment influences investment rates and decision-making in situations involving stochastic losses and risky investment

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This study explores the influences of supplier market competition, volume uncertainty, technological uncertainty, and production costs on make-or-buy decisions. Transaction cost economics theory highlights the impact of uncertainty and asset specificity on such decisions, with a focus on buyer-suppl

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Explore the sources of economic, social, and political uncertainty at regional and global levels. Discuss the rising tide of uncontrollable uncertainty and its implications for public policy and communities. Delve into economic globalization, social fragmentation, and the challenges posed by a world

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Probability plays a crucial role in decision-making under uncertainty, where factors like laziness, ignorance, and randomness influence outcomes. This lecture covers key concepts in probability, including outcomes, events, random variables, and conditional independence. It also delves into the chall

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Explore the concept of estimating with uncertainty, focusing on calculating a mean and using standard error to describe the uncertainty in that mean. Delve into human height, a variable described by a normal distribution, to understand how samples may deviate from the true mean. Discover sampling er

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Explore the concepts of uncertainty in Bayesian reasoning, including probabilistic effects, multiple causes, and incomplete knowledge. Understand decision-making under uncertainty through rational behavior principles. Delve into scenarios involving alarm systems and predicting outcomes based on prob

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Explore the concept of worry and uncertainty in the mind management skills workshop. Understand the vicious cycle of worry, practice skills to manage worry effectively, and review your progress through homework assignments. Discover how worry is a response to uncertainty and learn strategies to brea

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The document discusses amendments to the Manual on WIPPS for climate prediction, including new recommendations for weather, climate, water, and environmental prediction activities. It introduces concepts such as Global Climate Reanalysis and the coordination of multi-model ensembles for sub-seasonal

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General Practitioners (GPs) encounter uncertainty in their practice and utilize various strategies to address it. These strategies include safety netting, seeking advice from colleagues, sharing uncertainty with patients, review/follow-up processes, investigations, building rapport, and more. Collea

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Sampling uncertainty arises due to variations in sample values, impacting statistical estimates. Larger samples reduce uncertainty, providing more precise estimates. Adequate sample sizes are crucial, especially for comparing different groups or magnitudes of effects. By quantifying uncertainty, res

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Uncertainty Quantification (UQ) is crucial in determining likely outcomes in scenarios with unknown factors. Explore the concept through the Algae Example, where parameters like growth rates pose challenges due to uncertainty. Statistical techniques like MCMC and the DRAM algorithm play key roles in

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Exploring the engagement of insurance companies in climate finance, this presentation highlights the significance of private sector involvement in tackling climate change at a local level. It delves into key concepts such as mitigation, adaptation, and the global scientific targets for combating cli

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The UK Climate Resilience Programme is hosting a webinar series featuring experts discussing climate resilience, adaptation strategies, and socio-economic pathways for the UK. Attendees can engage in presentations, Q&A sessions, and access recorded content post-event. Learn about the latest developm

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The Actuaries Climate Index (ACI) is an essential tool that measures climate risks using historical data collected since 1961. It focuses on extreme climate events and sea level changes, providing valuable insights into the impacts of climate change. By analyzing the ACI and its components, users ca

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Uncertainty in demand planning can lead to inefficiencies in the supply chain. This course covers various tools and techniques to manage demand, supply, and lead time variability, reducing costs and optimizing operations. Learn to recognize and address causes of uncertainty, apply forecasting techni

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Explore the concept of risk and uncertainty in insurance markets, with insights on the definitions, expected value calculations, and practical examples like daily number bets and roulette. Gain a deeper understanding of how risk and uncertainty play crucial roles in decision-making and financial out

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This presentation explores the intricate relationship between confidence, uncertainty, and risk in decision-making processes within engineering design studies. It highlights the importance of considering various perspectives and evaluating potential risks and benefits to make informed decisions. The

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This study by Konstantinos Drakos explores the relationship between uncertainty and investment decisions in a real options framework using plant-level data from Greece. It reveals a negative correlation between uncertainty and the investment extensive margin, suggesting a wait-and-see strategy in am

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Detailed information on CMIP6 climate projections for California, evaluation of global climate models, summaries of data on the C-DAWG website, large set of CMIP6 downscaled climate projection data, and improvements in the LOCA2-Hybrid approach. The LOCA2-Hybrid method offers higher resolution train

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