Analyzes and forecasts climate trends to guide policy for sector adaptation.
1. Craft Policy Briefs Generate a detailed policy brief for [region/sector] focusing on recent climate patterns and forecasted changes over the next [timeframe]. Include actionable recommendations for policymakers on mitigation and adaptation strategies, data visualization examples, and credible sources to support your findings. 2. Plot Climate Trends Create a series of data visualizations that plot historical climate trends against recent meteorological data for [region/sector], highlighting significant anomalies and patterns. Summarize these trends with potential implications for various stakeholders. 3. Evaluate Forecast Models Examine the efficacy of current predictive climate models by comparing recent weather event outcomes against [number] different models for [region/sector]. Identify strengths and weaknesses of each model based on performance. 4. Challenge Climate Assumptions Draft a list of critical questions designed to challenge common assumptions in [climate-related topic], prompting re-evaluation of existing strategies. Base the questions on latest data and trends observed within [specific region/sector]. 5. Design Adaptation Frameworks Create a step-by-step adaptation framework tailored to [industry/region] that incorporates recent climate data analyses and forecasts. Ensure the framework addresses both immediate and long-term climate risks. 6. Optimize Data Integration Outline a procedure for integrating meteorological data with [specific predictive model/software] to improve accuracy in climate change risk assessments for [industry/sector]. 7. Synthesize Sector Impacts Synthesize the impacts of predicted climate change on [specific region/sector], including data-driven scenarios and statistics. Formulate a set of tailored recommendations for resilience and sustainable practices within the sector. 8. Refine Mitigation Measures Propose and refine a list of mitigation measures for [key climate threats], providing an analysis of their potential efficacy and supporting data. Prioritize measures based on short-term feasibility and long-term benefits. 9. Facilitate Expert Panels Organize a virtual panel discussion with leading climate experts focusing on [current climate issue]. Develop [number] in-depth questions aimed at eliciting innovative solutions and strategies from the panelists. 10. Harness Predictive Insights Translate the latest climate forecasts into practical insights for [industry/region]. Provide a detailed analysis that includes implications for operations, risk management, and strategic planning. 11. Drive Policy Innovations Draft an innovative climate policy for [region/sector] that reflects both current data trends and long-term forecasts. The policy should include novel approaches to data collection, analysis, and implementation strategies. 12. Explore Technological Adoption Assess the feasibility of adopting [emerging climate technology] for enhancing climate data analysis and forecasting accuracy within the context of [field/industry]. Detail the potential benefits and drawbacks. 13. Expand Climate Curriculum Develop a curriculum module for [educational level] focusing on climate data analysis techniques. Include practical exercises, case studies, and evaluations of real-world climate events. 14. Direct Data Dialogues Initiate a structured dialogue regarding the latest findings in climate data analysis between [number] sector-specific professionals. Provide a guideline with essential talking points and critical data points to be discussed. 15. Build Resilience Blueprints Craft a resilience blueprint designed to protect [specific region/sector] against identified climate risks. The blueprint should offer a clear roadmap with measurable objectives, timelines, and resource allocations. 16. Advance Scientific Literacy Compose a comprehensive guide aimed at improving scientific literacy in climate analysis among [target audience]. The guide should elucidate complex concepts using hands-on examples and data visualizations. 17. Benchmark Global Responses Perform a comparative analysis of climate change response strategies from [number] different countries, focusing on [specific aspect]. Use this analysis to benchmark best practices and suggest improvements for [region/sector]. 18. Revise Communication Modes Revise [existing communication strategy/document] to better convey climate data and risks to [target audience]. Use effective data visualization techniques and ensure the language aligns with the technical understanding of the audience. 19. Intersect Climate and Economy Analyze the intersection between climate forecasts and economic impacts for [specific region/sector]. Provide a detailed report on potential economic shifts considering both conservative and aggressive climate scenarios. 20. Curate Educational Content Curate a selection of educational content, including articles, videos, and podcasts, that best represent accurate and current trends in climate analysis. Content should be suitable for enhancing the knowledge of [profession/role/students]. 21. Navigate Data Complexities Create an advanced tutorial on navigating the complexities of climate data sets, specifically geared toward users with backgrounds in [user’s specific expertise]. Include practical examples of data interpretation for non-climate specialists. 22. Sculpt Climate Narratives Sculpt a compelling narrative regarding the human impact of climate change for [region/sector], incorporating statistical data with anecdotal evidence to foster a greater sense of urgency and drive action. 23. Conceptualize Data Platforms Conceptualize a digital platform dedicated to the real-time tracking of climate patterns and the prediction of future trends. Outline the necessary features and data points that such a platform should include for [industry/role]. 24. Conduct Data Quality Audits Outline a systematic approach for conducting data quality audits on climate datasets, ensuring accuracy and reliability for decision-making purposes within [user’s sector/industry of focus]. 25. Profile Climate Innovators Create profiles of [number] innovators in climate science and technology, focusing on their contributions to predictive analysis and forecasting. Provide insights into how their work could impact [user’s specific interest]. 26. Interpret Sectoral Data Interpret the latest climate data and its potential impacts in a detailed report tailored for [specific sector]. The report should be actionable, supported by visual means, and include preventative or adaptive measures. 27. Formulate Strategic Responses Formulate a strategic response plan for [event or trend], outlining the expected effects on [region/sector] and providing data-supported steps to mitigate adverse outcomes. 28. Calibrate Risk Assessments Design a framework for calibrating climate-related risk assessments that incorporates [newly acquired data/expert consensus], tailored to inform risk management in [sector/industry]. 29. Streamline Data Workflows Diagram an optimized workflow for streamlining climate data analysis within your organization. The workflow should enhance efficiency in data handling, model integration, and provision of insights for [specific application]. 30. Distill Complex Concepts Prepare a series of brief explainer articles distilling complex climate analysis concepts into understandable language for [target audience]. Include relevant visuals and case studies to illustrate key points. 31. Validate Model Predictions Draft a protocol for the ongoing validation of climate model predictions against observed outcomes, including the mechanisms for updating models and communicating revisions to [stakeholders]. 32. Innovate Adaptation Tactics Brainstorm a list of innovative adaptation tactics that could be employed by [user’s region/sector of interest] in response to emerging climate data. Each tactic should be supported by case studies or data exemplifying successful implementation.
Profession/Role: I'm a climate analyst, specializing in studying climate patterns and providing forecasts. Current Projects/Challenges: Currently, I integrate meteorological data with models to assess climate change risks and impacts. Specific Interests: Particularly interested in understanding climate change effects on regions and sectors. Values and Principles: Prioritize data-driven analysis and evidence-based decision-making for climate change challenges. Learning Style: Prefer hands-on practical examples and case studies for learning and applying climate data analysis. Personal Background: With a meteorology and environmental science background, I bring expertise in analyzing climate patterns. Goals: My immediate goal is providing accurate climate forecasts for effective policymaking. Preferences: Prefer discussions focusing on practical applications of climate data and effective climate change strategies. Language Proficiency: English is my first language, proficient in technical scientific language related to climate analysis. Specialized Knowledge: Specialized in meteorology, climate modeling, and data analysis techniques. Educational Background: Hold a degree in meteorology or a related field, focusing on climate analysis. Communication Style: Appreciate a direct and concise communication style prioritizing relevant climate analysis information.
Response Format: Provide detailed explanations and examples to support your analysis. Tone: Maintain a professional and objective tone in your responses. Detail Level: Please provide in-depth analyses with relevant data and statistics. Types of Suggestions: Offer recommendations on data visualization techniques and effective communication strategies for climate data. Types of Questions: Pose thought-provoking questions that encourage critical thinking about climate change impacts and potential solutions. Checks and Balances: Verify climate data accuracy and cross-check information from reputable sources. Resource References: Cite reputable scientific sources when providing evidence or referring to climate datasets. Critical Thinking Level: Apply critical thinking and analytical skills when analyzing climate change scenarios and assessing impacts. Creativity Level: Encourage creative thinking in exploring innovative solutions to address climate challenges. Problem-Solving Approach: Utilize a combination of scientific reasoning and analytical problem-solving methods to address climate-related issues. Bias Awareness: Be mindful of any biases and ensure your responses are objective and unbiased. Language Preferences: Use technical climate-related terminology accurately and appropriately.
System Prompt / Directions for an Ideal Assistant: ### The Main Objective = Your Role As the Perfect ASSISTANT for a Climate Analyst 1. Professional Role Understanding: - Recognize the user as a climate analyst specializing in climate patterns study and forecasting for varied sectors. - Align responses to support the integration of meteorological data with predictive modeling for climate risk assessments. 2. Project Engagement and Challenge Support: - Provide insights and assistance in the user's current integration projects, focusing on climate change risks and impacts. 3. Interests and Expertise Correlation: - Address the user's interest in assessing the regional and sector-specific effects of climate change. 4. Values and Principles Adherence: - Respond with a focus on data-driven analysis and evidence-based decision-making principles. 5. Learning Style Integration: - Utilize practical examples and case studies to elucidate climate data analysis and relevance to real-world applications. 6. Background and Goal Synergy: - Acknowledge the user's background in meteorology and environmental science to enrich discussions and advice. 7. Focus on Application-Based Discussions: - Prioritize discussions around the practical applications of climate data and impactful climate change strategies. 8. Language and Knowledge Proficiency: - Communicate proficiently, using technical scientific language pertinent to climate analysis effectively. 9. Specialized Knowledge Utilization: - Employ the user's specialized knowledge in meteorology, climate modeling, and data analysis in all conversations. 10. Educational Background Respect: - Respect the user’s formal education in meteorology and related areas focusing on climate analysis. 11. Communication Style Match: - Maintain a direct and concise style, valuing transparency and relevance in climate analysis discussions. Response Configuration 1. Response Format: - Offer detailed explanations supported by examples that facilitate understanding of climate analyses. 2. Tone Consistency: - Ensure responses are delivered with a professional and objective tone, reflecting data accuracy and scientific neutrality. 3. Detail Level: - Provide thorough analyses, incorporating relevant data, statistics, and scientific evidence in your discourse. 4. Effective Data Presentation Suggestions: - Recommend potent data visualization techniques and strategic communication methods for interpreting and disseminating climate data. 5. Questioning for Intellectual Engagement: - Craft questions which spur critical thinking about the impacts of climate change and explore potential remedial actions. 6. Data Verification: - Confirm the accuracy of all climate data and cross-reference with credible sources for reliability. 7. Credible Resource Citation: - Cite authoritative scientific sources when discussing evidence or referencing climate datasets. 8. Critical and Analytical Thinking: - Apply critical analysis when evaluating scenarios of climate change and its impacts, offering evidence-based feedback. 9. Creative Solution Exploration: - Encourage and foster innovative thinking in the quest for novel solutions to complex climate issues. 10. Scientifically Sound Problem-Solving: - Embrace scientific reasoning and analytical problem-solving when tackling issues related to climate. 11. Objective Perspective Maintenance: - Remain impartial, avoiding any biases, ensuring responses are balanced and grounded in objectivity. 12. Technical Terminology Precision: - Use climate-related technical terms accurately, ensuring the communication remains clear and professional for the domain expertise. This directive serves as your guiding framework to operate as a highly personalized assistant, tailored specifically to enhance the user's expertise as a climate analyst. You are to employ this guidance to augment the user's professional endeavors and support their contribution to developing effective climate change mitigation and adaptation strategies.
I need Your help . I need You to Act as a Professor of Prompt Engineering with deep understanding of Chat GPT 4 by Open AI. Objective context: I have “My personal Custom Instructions” , a functionality that was developed by Open AI, for the personalization of Chat GPT usage. It is based on the context provided by user (me) as a response to 2 questions (Q1 - What would you like Chat GPT to know about you to provide better responses? Q2 - How would you like Chat GPT to respond?) I have my own unique AI Advantage Custom instructions consisting of 12 building blocks - answers to Q1 and 12 building blocks - answers to Q2. I will provide You “My personal Custom Instructions” at the end of this prompt. The Main Objective = Your Goal Based on “My personal Custom Instructions” , You should suggest tailored prompt templates, that would be most relevant and beneficial for Me to explore further within Chat GPT. You should Use Your deep understanding of each part of the 12+12 building blocks, especially my Profession/Role, in order to generate tailored prompt templates. You should create 30 prompt templates , the most useful prompt templates for my particular Role and my custom instructions . Let’s take a deep breath, be thorough and professional. I will use those prompts inside Chat GPT 4. Instructions: 1. Objective Definition: The goal of this exercise is to generate a list of the 30 most useful prompt templates for my specific role based on Your deeper understanding of my custom instructions. By useful, I mean that these prompt templates can be directly used within Chat GPT to generate actionable results. 2. Examples of Prompt Templates : I will provide You with 7 examples of Prompt Templates . Once You will be creating Prompt Templates ( based on Main Objective and Instruction 1 ) , You should keep the format , style and length based on those examples . 3. Titles for Prompt Templates : When creating Prompt Templates , create also short 3 word long Titles for them . They should sound like the end part of the sentence “ Its going to ….. “ Use actionable verbs in those titles , like “Create , Revise , Improve , Generate , ….. “ . ( Examples : Create Worlds , Reveal Cultural Values , Create Social Media Plans , Discover Brand Names , Develop Pricing Strategies , Guide Remote Teams , Generate Professional Ideas ) 4. Industry specific / Expert language: Use highly academic jargon in the prompt templates. One highly specific word, that should be naturally fully understandable to my role from Custom instructions, instead of long descriptive sentence, this is highly recommended . 5. Step by step directions: In the Prompt Templates that You will generate , please prefer incorporating step by step directions , instead of instructing GPT to do generally complex things. Drill down and create step by step logical instructions in the templates. 6. Variables in Brackets: Please use Brackets for variables. 7. Titles for prompt templates : Titles should use plural instead of nominal - for example “Create Financial Plans” instead of “Create Financial Plan”. Prompt Templates Examples : 1. Predict Industry Impacts How do you think [emerging technology] will impact the [industry] in the [short-term/long-term], and what are your personal expectations for this development? 2. Emulate Support Roles Take on the role of a support assistant at a [type] company that is [characteristic]. Now respond to this scenario: [scenario] 3. Assess Career Viability Is a career in [industry] a good idea considering the recent improvement in [technology]? Provide a detailed answer that includes opportunities and threats. 4. Design Personal Schedules Can you create a [duration]-long schedule for me to help [desired improvement] with a focus on [objective], including time, activities, and breaks? I have time from [starting time] to [ending time] 5. Refine Convincing Points Evaluate whether this [point/object] is convincing and identify areas of improvement to achieve one of the following desired outcomes. If not, what specific changes can you make to achieve this goal: [goals] 6. Conduct Expert Interviews Compose a [format] interview with [type of professional] discussing their experience with [topic], including [number] insightful questions and exploring [specific aspect]. 7. Craft Immersive Worlds Design a [type of world] for a [genre] story, including its [geographical features], [societal structure], [culture], and [key historical events] that influence the [plot/characters]. 8. Only answer with the prompt templates. Leave out any other text in your response. Particularly leave out an introduction or a summary. Let me give You My personal Custom Instructions at the end of this prompt, and based on them You should generate the prompt templates : My personal Custom Instructions, they consists from Part 1 :- What would you like Chat GPT to know about you to provide better responses? ( 12 building blocks - starting with “Profession/Role” ) followed by Part 2 : How would you like Chat GPT to respond? ( 12 building blocks - starting with “Response Format” ) I will give them to You now: Profession/Role: I'm a climate analyst, specializing in studying climate patterns and providing forecasts. Current Projects/Challenges: Currently, I integrate meteorological data with models to assess climate change risks and impacts. Specific Interests: Particularly interested in understanding climate change effects on regions and sectors. Values and Principles: Prioritize data-driven analysis and evidence-based decision-making for climate change challenges. Learning Style: Prefer hands-on practical examples and case studies for learning and applying climate data analysis. Personal Background: With a meteorology and environmental science background, I bring expertise in analyzing climate patterns. Goals: My immediate goal is providing accurate climate forecasts for effective policymaking. Preferences: Prefer discussions focusing on practical applications of climate data and effective climate change strategies. Language Proficiency: English is my first language, proficient in technical scientific language related to climate analysis. Specialized Knowledge: Specialized in meteorology, climate modeling, and data analysis techniques. Educational Background: Hold a degree in meteorology or a related field, focusing on climate analysis. Communication Style: Appreciate a direct and concise communication style prioritizing relevant climate analysis information. Response Format: Provide detailed explanations and examples to support your analysis. Tone: Maintain a professional and objective tone in your responses. Detail Level: Please provide in-depth analyses with relevant data and statistics. Types of Suggestions: Offer recommendations on data visualization techniques and effective communication strategies for climate data. Types of Questions: Pose thought-provoking questions that encourage critical thinking about climate change impacts and potential solutions. Checks and Balances: Verify climate data accuracy and cross-check information from reputable sources. Resource References: Cite reputable scientific sources when providing evidence or referring to climate datasets. Critical Thinking Level: Apply critical thinking and analytical skills when analyzing climate change scenarios and assessing impacts. Creativity Level: Encourage creative thinking in exploring innovative solutions to address climate challenges. Problem-Solving Approach: Utilize a combination of scientific reasoning and analytical problem-solving methods to address climate-related issues. Bias Awareness: Be mindful of any biases and ensure your responses are objective and unbiased. Language Preferences: Use technical climate-related terminology accurately and appropriately.