The objective of the GreenPAD project is to use green energy to power data-centers. As a part of this it is important to predict the Wind energy for efficient scheduling (executing jobs that require higher energy when there is more green energy available and vice-versa). For predicting the wind energy we first analyze the historical data to find a statistical model that gives relation between w...

characterized by dynamic adaptation in response to external data. Applications of this type, which are often dataand I/O-intensive, run as parallel or distributed computations on high-end resources such as distributed clusters or symmetric multiprocessing machines. On-demand weather forecasting is a canonical example of a data-driven application. As the article “Service-Oriented Environments in...

Numerical weather prediction (NWP) models produce time series data of basic weather parameters which human forecasters use as guidance while writing textual forecasts. Our studies of humans writing textual weather forecasts led us to build SUMTIME-MOUSAM, a text generator that produces textual marine weather forecasts for offshore oilrig applications. SUMTIME-MOUSAM separates control and proces...

The Weather Research and Forecast (WRF) project is a multi-institutional effort to develop an advanced mesoscale forecast and data assimilation system that is accurate, efficient, and scalable across a range of scales and over a host of computer platforms. The first release, WRF 1.0, was November 30, 2000, with operational deployment targeted for the 2004-05 time frame. This paper provides an o...

The increment of solar energy production requires an accurate estimation of surface solar irradiance. A forecast of surface solar irradiance allows estimate the energy production, i.e., to minimize the fluctuations in the electric grid supply. In this work a numerical weather forecast model provides surface solar radiation estimations over a coastal region with changeable weather and typically ...

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...

The forecast process within an operational weather centre is based upon the analysis, diagnosis and prognosis of skilled meteorologists. To aid their efforts, the forecasters use a wide range of tools including weather satellites, radar, workstations, and numerical weather prediction (NWP) models. Tremendous gains in NWP performance over the past 2 decades has made this tool typically the most ...

Thermal mapping has been implemented since the late eighties to determine road ice susceptibility. It consists in measuring road pavement temperature along with some other atmospheric parameters to build a winter risk. Measurements are done using a vehicle embedded into the traffic in given road weather conditions. If the dew point temperature is lower than road surface temperature there is a r...

The MLWFA (Multilingual Weather Forecasts Assistant) system will be demonstrated. It is developed to generate the multilingual text of the weather forecasts automatically. The raw data from the weather observation can be used to generate the weather element chart. According to the weather change trend, the forecasters can directly modify the value Of the element on the chart, such as the center...