Math for Manufacturing Jobs

I listened to the NPR story “For Manufacturing Jobs, Workers Brush Up On Math”, in which the thesis of the … More

Craig Bishop: The Secrets of Model/Background Error Covariance Revealed

This is my first content post for the satellite data assimilation summer school, and the first big insights that I’ve … More

I arrived in Santa Fe earlier this afternoon, where I will be spending the next two weeks with some of … More

I had been working at NSSL only since last September. My work has gone well. I’ve learned a lot of … More

I was at the SIAM Uncertainty Quantification conference on April 2 and 3rd, and after pondering my experience there for … More

One of the challenges of doing interdisciplinary work is the constant back and forth between mathematical understanding and, for lack … More

This post will likely make all of my math friends cringe. I asked this question early on in my grad … More

I wrote a short post yesterday about the notion of error statistics, and recommended a paper by Orrell, Smith, Barkmeijer … More

While working on data assimilation stuff with WRF and it’s variational companion WRFDA, I have been thinking a lot about different types … More

This week there was a workshop on methods for assimilating radar data into numerical weather prediction models. Although I’m not … More