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About This Webinar
Strategies and technologies for adapting to climate change in particular locations should ideally be grounded in knowledge of the future climatic conditions in those locations. Estimates hold that 70% of future climates already exist somewhere in the world. That is where the analogues approach comes in. Using global climate projection data from multiple models, the climate analogues tool developed by CCAFS takes climate and rainfall predictions for a particular site and searches for places with similar conditions at present. In this webinar, Julian Ramirez will introduce the Climate Analogues Tool developed in R and show how this tool is being used to generate the Extrapolation Domains for climate adaptation options and help the audience to use the tool in own analysis. All data and code files are available at https://github.com/CIAT-DAPA/analogues.
Agenda
  • Introduction to the Climate Analogues concept and applications
  • Demonstration of running the Climate Analogues analysis with R
  • Exercise for participants to run their own Climate Analogues analysis
  • Q&A and discussion on the findings from the analysis
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Julian Ramirez
Senior Scientist on Climate Impacts
Julian Ramirez-Villegas gained a PhD on climate change impacts and adaptation in the School of Earth and Environment at University of Leeds in early 2014. He is now working as a postdoctoral research fellow in the School of Earth and Environment, at the University of Leeds, in the Climate Impacts Group. He also works in the Decision and Policy Analysis program at the Alliance of Bioversity International and CIAT, through a Leeds-CIAT joint position funded by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). During his career, he has contributed to a broad range of research projects at the International Centre for Tropical Agriculture (CIAT) and has published a number of papers related to crop-climate modeling, climate change impacts, adaptation, conservation of biodiversity and plant genetic resources.
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