Quantifying urban heat island effect often requires the observation of air temperature distribution over the whole city. Satellite or aircraft mounted radiometers, car mounted temperature sensors and GPS loggers or fixed point monitoring have been employed in previous studies for urban heat island effect analysis. Above methods often are very expensive, labour intensive and have its own limitat...

This paper describes a Weather Impact Model (WIM) capable of serving a variety of predictive applications ranging from real-time operation and dayahead operation planning, to asset and outage management. The proposed model is capable of combining various weather parameters into different weather impact features of interest to a specific application. This work focuses on the development of a uni...

A Space and Time Mesoscale Analysis System (STMAS) has been developed at Forecast Systems Laboratory (FSL) to generate a gridded analysis of surface observations. It is a three-dimensional variational analysis (3DVAR) of horizontal space and time instead of pressure or height levels. It is used to detect boundary layer phenomena, frontal zones, and various nonlinear phenomena, and has been used...

Global and regional wave forecasts are routinely conducted nowadays thanks to advances in numerical weather prediction, satellite scatterometers and computers. The demand for further improvements in such models comes from engineering communities, as well as climate research communities. A number of researchers have suggested the possibility of wave concentration caused by the ocean current. But...

A continuous GPS array is a very useful tool for monitoring and modeling crustal activity. GPS observation has revealed various unknown aspects of tectonic deformation in Japan and other locations. Quasi-real time data acquisition and dense spatial coverage enable incorporation of GPS data into simulation models for crustal activity forecast, which is similar to data assimilation in weather for...

A novel method and a framework called Memory-Based Forecasting are proposed to forecast complex and timevarying natural patterns with the goal of supporting experts’ decision making. This paper targets the local precipitation phenomena captured as echo patterns in weather radar images, and aims to realize a tool that supports weather forecasters. In our framework, past image patterns similar to...

A web-based decision support system (DSS) for potato and tomato late blight management has been developed which links several models into a system that enables prediction of disease dynamics based on weather conditions, crop information, and management tactics. Growers identify the location of their production unit of interest (latitude and longitude of field) and the system automatically obtai...

A Space and Time Mesoscale Analysis System (STMAS) has been developed at Forecast Systems Laboratory (FSL) to generate a grid analysis of surface observations. It is a three-dimensional variational analysis (3DVAR) of horizontal space and time instead of pressure or height levels. It is used to detect boundary layer phenomena, frontal zones, and various nonlinear phenomena, and has been used in...

1. a robust real time communications system exists that can support the dissemination and usage of the forecasts, 2. the users have the ability to take actions in a short time period that will reduce the adverse impact of the weather, 3. there is an urgent user need for improved forecast capability, and 4. it is possible to provide training on how to effectively interpret and employ forecast in...