TOPS-T SCHOOL Module 4: Climate and Agriculture

NOTE: This entry includes the previewable elements from the repository along with the entire GIT repository in the .zip file Welcome SCHOOL Module 4: Climate and Agriculture Welcome to the fourth module of the SCHOOL curriculum! The Science Core Heuristics for Open Science Outcomes in Learning (SCHOOL) is part of the NASA Transform to Open Science (TOPS) Training (TOPST) initiative, designed to teach the data science lifecycle using data from the NASA Earth Sciences division and to foster an inclusive culture of open science. You can learn more about the SCHOOL Project and other modules on the SCHOOL Project home page. This TOPS SCHOOL module on the theme of ’Climate and Agriculture” provides a foundational understanding of the complex interplay between Earth’s ecosystems, climate and human-induced climate change, and environmental justice. We will explore how we can use spatial data for the study of climate, agriculture, and their impacts on vulnerable communities. You will also gain critical insights into how a changing climate affect agricultural resources people rely on for food. As you engage with the lessons, you will develop a comprehensive understanding of key concepts of earth’s climate system, the significance of social vulnerability to climate risks, and the tools available for analyzing environmental and agricultural data. Ultimately, these lessons will empower you to contribute meaningfully to discussions and actions pertaining to earth’s climate, agricultural systems, and environmental justice. Tip This module is designed to provide undergraduate students and early-career researchers with an introduction to the data science “life cycle” and sample code describing how Open Science principles can be effectively applied to earth sciences, particularly in the context of air pollution and its impact on health. Teaching earth science topics and coding skills in depth is beyond the scope of the SCHOOL Modules. Instead, the SCHOOL Project aims to provide users with the skills to adapt the skills learned in SCHOOL lessons to the users’ own Open Science workflow. To learn more about Open Science, explore NASA’s TOPS Open Science 101 Curriculum. To explore other themes in the SCHOOL project, visit our Modules Page. Module 4: Climate and Agriculture datasets and use cases cover: Module 4 Climate and Agriculture Prerequisites: General information on the prerequisites and how to make accounts necessary for these modules. Lesson 0: Prerequisites Understanding Human Exposure to Heat: This lesson will use Google Earth Engine to analyze temperature and social vulnerability data. Lesson 1: Understanding Human Exposure to Heat Flash Drought Multi-Indicator Analysis: This lesson will use R and open source R packages to work with multiple drought indicators to understand rapid drought intensification and its agricultural impacts. Lesson 3: Flash Drought Multi-Indicator Analysis NASA ACRES Climate Resilience Network: This lesson will use public research data for derived conclusions and to view the impacts climate change has on agriculture. Lesson 4: NASA ACRES Climate Resilience Network Weird Weather In Washington State: This lesson will use Python to analyze temperature and precipitation anomalies in Washington State and their impacts on agriculture and people. Lesson 5: Weird Weather In Washington State This course was made possible thanks to the work of our NASA Transform to Open Science (TOPS) team, our SCHOOL Open Science team, open science Subject Matter Experts (SMEs), and the SCHOOL Development team! Open Science Team Member Contributors Poornima Vaidya, Masters Student, West Michigan University Open Science Subject Matter Experts Elizabeth Dzwonczyk, Assistant Professor, West Point Faezeh Najafzadeh, Phd Student, University of Oklahoma Jacob Orser, Technical Analyst, University of Maryland Masha Vernik, Masters Student, University of Washington Akshay Mestry, Adjunct Professor, National Louis University Dhruvil Prajapati, Technical Analyst, National Louis University Antonio Tovar, Professor, National Louis University Module Development Team Deborah Balk, Director, CUNY Baruch Josh Brinks, Research Scientist, ISCIENCES LLC Camilla Green, Technical Analyst, Columbia University Kytt MacManus, Research Scientist, Columbia University Juan Martinez, Technical Analyst, Columbia University Thomas Parris, Director, ISCIENCES LLC Linda Pistolesi, Technical Analyst, Columbia University Eulalia Santin, Financial Analyst, Columbia University Sri Vinay, Technical Analyst, NASA ASDC Greg Yetman, Research Scientist, Columbia University Tracy Wen, Financial Analyst, Columbia University Christina Deodatis, Technical Analyst, Paces