Presented By: Climate and Space Sciences and Engineering
CLASP Alumni of the Year Lecture: Dr. Sue Ellen Haupt of UCAR
Climate & Space is very pleased to welcome back alumna Dr. Sue Ellen Haupt of UCAR to give our 2020 Alumni of the Year Lecture. Please join us!
This is a Zoom virtual event.
Zoom link: https://umich.zoom.us/j/94836006294?pwd=Skgzb0JjTi9ESFV2akZNeFJScWNBZz09
Meeting ID: 948 3600 6294
Passcode: 421507
TITLE: Using AI in Environmental Sciences
ABSTRACT: Artificial intelligence (AI) and machine learning (ML) have become important tools for the environmental scientist, both in research and in application. These methods have become quite popular in recent years, but they are not new. Early applications in the 1980’s featured more heuristic expert systems approaches, but by the 1990’s supervised learning methods were beginning to predominate. I began applying genetic algorithms to some of my problems during that timeframe. Uses continued to progress to the point where these tools have become nearly as standard as statistical analyses.
The environmental sciences possess a host of interesting problems amenable to advancement by intelligent techniques. We will review the evolution from the early applications and how they have impacted these sciences. We will discuss the types of applications that have been most prevalent as well as my own journey as a physical scientist applying AI as a tool for environmental problems. The talk will touch on topics in weather forecasting, probabilistic prediction, climate applications, optimization problems, downscaling model runs, and emulating processes in models. We will finish with a look at where AI is being applied to environmental science, appears to be going in the future, and some thoughts on how these methods might be best blended with the physical / dynamical modeling approaches to further advance our science.
This is a Zoom virtual event.
Zoom link: https://umich.zoom.us/j/94836006294?pwd=Skgzb0JjTi9ESFV2akZNeFJScWNBZz09
Meeting ID: 948 3600 6294
Passcode: 421507
TITLE: Using AI in Environmental Sciences
ABSTRACT: Artificial intelligence (AI) and machine learning (ML) have become important tools for the environmental scientist, both in research and in application. These methods have become quite popular in recent years, but they are not new. Early applications in the 1980’s featured more heuristic expert systems approaches, but by the 1990’s supervised learning methods were beginning to predominate. I began applying genetic algorithms to some of my problems during that timeframe. Uses continued to progress to the point where these tools have become nearly as standard as statistical analyses.
The environmental sciences possess a host of interesting problems amenable to advancement by intelligent techniques. We will review the evolution from the early applications and how they have impacted these sciences. We will discuss the types of applications that have been most prevalent as well as my own journey as a physical scientist applying AI as a tool for environmental problems. The talk will touch on topics in weather forecasting, probabilistic prediction, climate applications, optimization problems, downscaling model runs, and emulating processes in models. We will finish with a look at where AI is being applied to environmental science, appears to be going in the future, and some thoughts on how these methods might be best blended with the physical / dynamical modeling approaches to further advance our science.
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