The results of recent studies on prediction markets are encouraging. Prior experience demonstrates that markets with different incentive schemes predicted uncertain future events at a remarkable accuracy. In this paper, we study the impact of different monetary incentives on the prediction accuracy in a field experiment. In order to do so, we compare three groups of users, corresponding to thre...

We examine correlations between student learning and student acoustic-prosodic profiles, which prior research has shown to be predictive of emotional states. We compare these correlations in two corpora of spoken tutoring dialogues: a human-human corpus and a human-computer corpus. Our results suggest that rather than relying on emotion prediction models developed via the more labor-intensive m...

Land surface processes and their initialization are of crucial importance to address the challenge of seamless (from weather to seasonal) Numerical Weather Prediction (NWP). In particular it has been found that soil moisture influences the landatmosphere exchange processes on all relevant time scales. It is therefore expected to be of high interest for NWP applications to assimilate new satelli...

Earth orientation prediction has undergone a number of changes over the last few decades in response to changing conditions in the Earth orientation parameter user community. However, considering the recent pace of change, it is likely that the rate at which innovations are introduced into the prediction process will increase. Potential drivers for change are discussed and possible directions f...

JMA operates NWP models to meet various kinds of requirements on weather forecasting. The suite of the NWP models covers a wide temporal range of forecast periods from a few hours to two seasons providing a seamless sequence of products for the public. The Global Spectral Model (GSM) produces 84-hour forecast four times a day (00, 06, 12, 18 UTC) to support the official short-range forecasting ...

Mesoscale models, with grid resolution higher than synoptic and global models, and with advanced physical parameterizations, have been an important tool for meteorological research over the past twenty years. The research applications of mesoscale models, mostly through case studies or model sensitivity experiments in the 1980s, provided us with important physical insights into mesoscale weathe...