Hi there! I am Joseph Chan, a physicist-turned-meteorologist, hailing from the tiny tropical island nation of Singapore. I am currently an Assistant Professor in the Department of Geography at the Ohio State University.

My research focuses on keeping the effects of chaos at bay. Because weather systems are very chaotic, errors in the data used in weather forecasting, no matter how small in size or scale, have a tendency to grow quickly and corrupt forecasts. To restrain these effects of chaos, we must reduce these errors as much as possible.

In my research, I enhance the accuracy of forecast-creating datasets by combining large sets of computer simulations (aka, ensembles) with observations of the atmosphere. This process is known as ensemble data assimilation (EnsDA). I specialize in efficiently and cheaply creating large forecast ensembles, the EnsDA of satellite observations, and in developing novel EnsDA algorithms. 

Click here for my CV.