Michael Jon Erickson
Research Interests
- Ensemble model verification and post-processing
- Identifying and tracking heavy precipitation objects
- Applying hydrological model data for research-to-operations projects
- Verifying and displaying Weather Prediction Center operational forecast products
- Numerical modeling using the Weather Research and Forecasting model
- Data assimilation using the Ensemble Kalman Filter
Teaching Profile
Visiting Assistant Professor University of Maryland Synoptic Meteor. Aug 2018 – Dec 2018
Adjunct Instructor Suffolk County Com. Coll. Intro. to Weather Aug 2012 - Aug 2015
Current Research
I am a CIRES employee working remotely with the Weather Prediction Center (WPC) in College Park, MD. My primary research topics utilize the Model Evaluation Tools software to improve WPC's verification efforts related to heavy precipitation events. These verification projects range from evaluating WPC's Excessive Rainfall Outlook product to creating novel visualization and post-processing techniques through the tracking of high-impact heavy precipitation objects. I have also been heavily involved in utilizing and post-processing river streamflow data from hydrological models.
Currently I am developing techniques to display heavy precipitation displacement biases to forecasters and hydrologists. I am also tracking experimental heavy precipitation model data with extremely high temporal scales. Our goal is to simultaneously improve experimental model output and better understand model biases. New websites are being designed with dynamic mapping features to allow users to analyze multiple layers of data.