Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical ...

PINC Technologies, a Caltech spinout company developing advanced integrated nonlinear photonic devices and circuits, today ...

We develop a new quantile-based panel data framework to study the nature of income persistence and the transmission of income shocks to consumption. Log-earnings are the sum of a general Markovian ...

A new computing era arrives with the breakthrough in how computers can sort information. This vital function, at the heart of ...

Artificial intelligence models have improved weather forecasting, but their inner workings are largely opaque. A new approach ...

Operational forecasting with simulation models involves the melding of observations and model dynamics to determine a set of initial conditions for each forecast. The Kalman filter (KF) provides the ...

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...

Weather models still struggle to parse the millions of datapoints involved in precipitation prediction. It’s understandable ...