Climate Data Application

CIVL40411 Climate Data Application 15 Semester 1 Undergraduate Level 4 Benjamin Parkes Unit coordinator 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 7.5 Engineers are expected to develop infrastructure systems with true longevity; however, the conditions of the future are by their nature undetermined. The impact of anthropogenic climate change is exacerbating the issues of understanding future conditions, both the direct impacts and the societal changes associated with responses to climate change. Engineers will need to understand the impacts of climate change and what they mean for the people using the systems that are being built, maintained, operated and eventually decommissioned. This unit will give students hands on experience with research quality climate data and models. The methods used also introduce data science tools to the students.  Engineers are expected to develop infrastructure systems with true longevity; however, the conditions of the future are by their nature undetermined. The impact of anthropogenic climate change is exacerbating the issues of understanding future conditions, both the direct impacts and the societal changes associated with responses to climate change. Engineers will need to understand the impacts of climate change and what they mean for the people using the systems that are being built, maintained, operated and eventually decommissioned. This unit will give students hands on experience with research quality climate data and models. The methods used also introduce data science tools to the students.  The unit aims to: Give students practical experience using state of the art climate change projections data Teach students to critically analyse the suitability of models of climate impacts Teach students the difference between sources of uncertainty and how to treat them appropriately Introduce some basic data science techniques to the students  ILO 1. Understand the tools used to determine climate impacts and the issues engineers face when dealing with climate impacts.ILO 2. Application of climate data for use in simple impacts models. Strengths and weaknesses of climate data as a tool. ILO 3. Data science methods for analysis of large datasets (typical climate model outputs are ~Tb). ILO 4. Presentation skills for conveying the importance of their work to non-specialists.  The course is built of two related sections, lectures and practical analysis. The latter of which will also contribute to the coursework.  Lecture topics:  Responses to climate change - How people react to climate change and what steps they take. Discussion of which bodies should lead the response. No correct answer but the students will need to defend their decision. – Mitigation and adaptation What are climate MIPs and why do they matter. Model intercomparison projects are common in environmental sciences, this lecture will discuss their strengths and weaknesses along with how to use them properly. Uncertainty analysis and proper treatment of uncertainty in climate projections. With multiple scenarios, timelines and models along with high resolution projections on restricted areas, there is a lot of data, students will be tasked with understanding uncertainties and their sources, along with the implications of these uncertainties Climate injustice - Discussion of the issue, specifically that poorer countries are suffering more from climate change and that their responses are therefore more expensive Invasive species and their influence on infrastructure - Climate change will cause migrations, typically in the UK we don't worry about mosquitoes but that will need to change with warming Changes to the pdf of weather - Why extremes are more common, what this means for structures or resilience. Describe the difference between a 10 year storm in 2000 and 2050  Practical topics (Two per year, option to cycle projects):One case study will be used to teach relevant skills and will last from W2:W5. The other case study will be from W6:W11 and will be assessed.  Change in wind farm available energy from observed data or climate simulations - requires data analysis and post processing to estimate power from a given farm Change in solar farm energy from observed data or climate simulations - requires data analysis and post processing to estimate power from a given farm Heat waves in observed data or climate simulations - multiple definitions of heat wave, choosing correct definition for a given use is important. Related topics are heat stress and heating or cooling demand Response of a hydrological system to climate change Determine deviation of a monsoon system under climate change - also investigate the issues with GCM data compared to high resolution observations  Large group lectures Practical skills in computer laboratories  3 Report 90% 7 Oral assessment/presentation 10% Coursework Assignments - Feedback provided via written comments through Turnitin 2 weeks after submission. Collective feedback provided within lecture and uploaded to Blackboard. MEng (Hons) Aerospace Engineer MEng (Hons) Aerospace Engineer Fourth Year Optional MEng (Hons) Aerospace Engineer MEng (Hons) Aerospace Engineer Fourth Year Optional MEng (Hons) Civil & Struct Eng MEng (Hons) Civil & Struct Eng Fourth Year Mandatory MEng (Hons) Civil & Struct Eng MEng(Hons) Civil&Struc Eng WIE Fourth Year Mandatory MEng (Hons) Civil Engineering MEng (Hons) Civil Engineering Fourth Year Mandatory MEng (Hons) Civil Eng (Ent) MEng (Hons) Civil Eng (Ent) Fourth Year Mandatory MEng (Hons) Civil Eng w Ind Ex MEng (Hons) Civil Eng w Ind Ex Fourth Year Mandatory N https://www.geol.lsu.edu/jlorenzo/geophysics/uncertainties/Uncertaintiespart1.html https://www.geol.lsu.edu/jlorenzo/geophysics/graphing/graphingpart1.html https://gmd.copernicus.org/articles/9/3461/2016/gmd-9-3461-2016.pdf - Abstract and Section 3 https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_SPM_final.pdf  For Information and advice on Link2Lists reading list software, see:  http://www.library.manchester.ac.uk/academicsupport/informationandadviceonlink2listsreadinglistsoftware/   Demonstration 3 Lectures 13 Practical classes & workshops 20 0 114