due to its complexity and destructive nature, convection has been subject of many studies and researches among weather phenomena throughout the world. scientists have attempted for decades to generate different types of models to provide the possibility of abating or, at least, reducing convective weather phenomena effects on people’s lives. in south or southwest of iran, people are familiar wi...

We present the linear analysis of recent time filters used in numerical weather prediction. We focus on the accuracy and the stability of the leapfrog scheme combined with the Robert–Asselin–Williams filter, the higher-order Robert–Asselin type time filter, the compositetendency Robert–Asselin–Williams filter and a more discriminating filter.

Acknowledgments

The purpose of this paper is to develop a general framework for the prediction of complex multiscale phenomena and to illustrate this framework through comparison to two examples of current interest to the authors. Prediction involves a two step process of inverse prediction to describe the system, given observations of its behavior, and forward prediction, to specify system behavior, given its...

In China, 260 million people migrate to cities to realize their urban dreams. Despite that these migrants play an important role in the rapid urbanization process, many of them fail to settle down and eventually leave the city. The integration process of migrants thus raises an important issue for scholars and policymakers. In this paper, we use Shanghai as an example to investigate migrants’ b...

Despite the centrality of the median voter prediction in political economy models, overwhelming empirical evidence shows that legislators regularly take positions that diverge significantly from the preferences of the median voter in their districts. However, all these empirical studies to date lack the necessary data to directly measure the preferences of the median voter. We utilize a unique ...

Accurate predictions of cloud and precipitation processes in the marine boundary layer are critical to U.S. Navy operations, as well as being more broadly important to improving seasonable predictability and the performance of NWP models. The major goal of the project is to develop and test state-of-theart boundary layer and microphysical parameterizations in order to better represent the conti...