PV inversion techniques have been widely used in numerical studies of severe weather cases. These techniques can be applied as a way to study the sensitivity of the responsible meteorological system to changes in the initial conditions of the simulations. Dynamical effects of a collection of atmospheric features involved in the evolution of the system can be isolated. However, aspects, such as ...

The effects of air temperature, relative and specific humidity, wind speed, solar shortwave radiation, thermal longwave radiation, and rain on the performance of participants in the annual Stockholm Marathon from 1980 to 2008 were analysed statistically. The objective was to validate and extend previous studies by including data on finishing times of slower male and female runners and on the pe...

The natural space environment continues to surprise us. We recently witnessed the quietest solar minimum in the past 100 years, casting huge uncertainties on our expectations for approach to Solar Maximum. The overall space environment is made up of many related but independent parts. The Dynamic Radiation Environment Assimilation Model (DREAM) focuses on the spacecraft charging environment. DR...

This paper addresses the anomaly correlation of the 500-hPa geopotential heights from a suite of global multimodels and from a model-weighted ensemble mean called the superensemble. This procedure follows a number of current studies on weather and seasonal climate forecasting that are being pursued. This study includes a slightly different procedure from that used in other current experimental ...

Temperature prediction is one of the most important and challenging task in today’s world. Temperature prediction is the attempt by meteorologists to forecast the state of the atmospheric parameters such as: Temperature, Humidity, etc. The paper presents research on weather forecasting by using historical dataset. Because atmosphere pattern is complex, nonlinear system, traditional methods aren...

Anomaly detection is important in many domains, e.g. fraud detection. Due to the difficult of precise definition and quantification of anomaly, anomaly detection is one of the most difficult tasks in data mining [1]. Significant effort has gone in anomaly detection in unstructured data (e.g. outlier detection) and graphic data (e.g. structural anomalies mining in graph-based data [2]). But dete...

The detailed study of the urban environment did not really begin until the start of the 20 century. Early studies by Fassig (1907), Saucier (1949), and Ligda and Bigler (1956) established the hypothetical down-wind effect of cities, while studies by Woollum and Canfield (1968) helped in localizing the hypothesized downwind effect of cities. As the evidence for the modification of weather by urb...